id	sid	tid	token	lemma	pos
bjpt-78750	1	1	bangladesh	bangladesh	PROPN
bjpt-78750	1	2	j.	j.	PROPN
bjpt-78750	1	3	plant	plant	PROPN
bjpt-78750	1	4	taxon	taxon	PROPN
bjpt-78750	1	5	.	.	PUNCT
bjpt-78750	2	1	31(2	31(2	NUM
bjpt-78750	2	2	):	):	PUNCT
bjpt-78750	2	3	225	225	NUM
bjpt-78750	2	4	-	-	SYM
bjpt-78750	2	5	238	238	NUM
bjpt-78750	2	6	,	,	PUNCT
bjpt-78750	2	7	2024	2024	NUM
bjpt-78750	2	8	(	(	PUNCT
bjpt-78750	2	9	december	december	PROPN
bjpt-78750	2	10	)	)	PUNCT
bjpt-78750	2	11	doi	doi	NOUN
bjpt-78750	2	12	:	:	PUNCT
bjpt-78750	2	13	https://doi.org/10.3329/bjpt.v31i2.78750	https://doi.org/10.3329/bjpt.v31i2.78750	X
bjpt-78750	2	14	©	©	PROPN
bjpt-78750	2	15	2024	2024	NUM
bjpt-78750	2	16	bangladesh	bangladesh	PROPN
bjpt-78750	2	17	association	association	NOUN
bjpt-78750	2	18	of	of	ADP
bjpt-78750	2	19	plant	plant	NOUN
bjpt-78750	2	20	taxonomists	taxonomist	NOUN
bjpt-78750	2	21	genomic	genomic	ADJ
bjpt-78750	2	22	analysis	analysis	NOUN
bjpt-78750	2	23	made	make	VERB
bjpt-78750	2	24	easy	easy	ADJ
bjpt-78750	2	25	(	(	PUNCT
bjpt-78750	2	26	game	game	NOUN
bjpt-78750	2	27	v1	v1	NOUN
bjpt-78750	2	28	):	):	PUNCT
bjpt-78750	2	29	an	an	DET
bjpt-78750	2	30	automated	automate	VERB
bjpt-78750	2	31	software	software	NOUN
bjpt-78750	2	32	for	for	ADP
bjpt-78750	2	33	plant	plant	NOUN
bjpt-78750	2	34	genome	genome	NOUN
bjpt-78750	2	35	assembly	assembly	NOUN
bjpt-78750	2	36	and	and	CCONJ
bjpt-78750	2	37	annotation	annotation	NOUN
bjpt-78750	2	38	from	from	ADP
bjpt-78750	2	39	illumina	illumina	PROPN
bjpt-78750	2	40	sequencing	sequence	VERB
bjpt-78750	2	41	mohammad	mohammad	PROPN
bjpt-78750	2	42	ajmal	ajmal	PROPN
bjpt-78750	2	43	ali1	ali1	PROPN
bjpt-78750	2	44	,	,	PUNCT
bjpt-78750	2	45	*	*	SYM
bjpt-78750	2	46	,	,	PUNCT
bjpt-78750	2	47	rajesh	rajesh	PROPN
bjpt-78750	2	48	mahato2	mahato2	PROPN
bjpt-78750	2	49	and	and	CCONJ
bjpt-78750	2	50	joongku	joongku	PROPN
bjpt-78750	2	51	lee	lee	PROPN
bjpt-78750	2	52	3	3	PROPN
bjpt-78750	2	53	1department	1department	NUM
bjpt-78750	2	54	of	of	ADP
bjpt-78750	2	55	botany	botany	NOUN
bjpt-78750	2	56	and	and	CCONJ
bjpt-78750	2	57	microbiology	microbiology	NOUN
bjpt-78750	2	58	,	,	PUNCT
bjpt-78750	2	59	college	college	NOUN
bjpt-78750	2	60	of	of	ADP
bjpt-78750	2	61	science	science	NOUN
bjpt-78750	2	62	,	,	PUNCT
bjpt-78750	2	63	king	king	PROPN
bjpt-78750	2	64	saud	saud	PROPN
bjpt-78750	2	65	university	university	PROPN
bjpt-78750	2	66	,	,	PUNCT
bjpt-78750	2	67	riyadh	riyadh	PROPN
bjpt-78750	2	68	11451	11451	NUM
bjpt-78750	2	69	,	,	PUNCT
bjpt-78750	2	70	saudi	saudi	PROPN
bjpt-78750	2	71	arabia	arabia	PROPN
bjpt-78750	2	72	.	.	PUNCT
bjpt-78750	3	1	2arraygen	2arraygen	NUM
bjpt-78750	3	2	technologies	technology	NOUN
bjpt-78750	3	3	private	private	ADJ
bjpt-78750	3	4	limited	limited	ADJ
bjpt-78750	3	5	,	,	PUNCT
bjpt-78750	3	6	undri	undri	ADJ
bjpt-78750	3	7	,	,	PUNCT
bjpt-78750	3	8	pune-411060	pune-411060	NOUN
bjpt-78750	3	9	,	,	PUNCT
bjpt-78750	3	10	maharashtra	maharashtra	PROPN
bjpt-78750	3	11	,	,	PUNCT
bjpt-78750	3	12	india	india	PROPN
bjpt-78750	3	13	.	.	PUNCT
bjpt-78750	4	1	3department	3department	NUM
bjpt-78750	4	2	of	of	ADP
bjpt-78750	4	3	environment	environment	NOUN
bjpt-78750	4	4	and	and	CCONJ
bjpt-78750	4	5	forest	forest	NOUN
bjpt-78750	4	6	resources	resource	NOUN
bjpt-78750	4	7	,	,	PUNCT
bjpt-78750	4	8	college	college	NOUN
bjpt-78750	4	9	of	of	ADP
bjpt-78750	4	10	agricultural	agricultural	ADJ
bjpt-78750	4	11	life	life	NOUN
bjpt-78750	4	12	science	science	NOUN
bjpt-78750	4	13	,	,	PUNCT
bjpt-78750	4	14	chungnam	chungnam	NOUN
bjpt-78750	4	15	national	national	PROPN
bjpt-78750	4	16	university	university	PROPN
bjpt-78750	4	17	,	,	PUNCT
bjpt-78750	4	18	daejeon	daejeon	NOUN
bjpt-78750	4	19	,	,	PUNCT
bjpt-78750	4	20	south	south	PROPN
bjpt-78750	4	21	korea	korea	PROPN
bjpt-78750	4	22	.	.	PUNCT
bjpt-78750	5	1	keywords	keyword	NOUN
bjpt-78750	5	2	:	:	PUNCT
bjpt-78750	5	3	game	game	NOUN
bjpt-78750	5	4	v1	v1	NOUN
bjpt-78750	5	5	;	;	PUNCT
bjpt-78750	5	6	python	python	NOUN
bjpt-78750	5	7	;	;	PUNCT
bjpt-78750	5	8	short	short	ADJ
bjpt-78750	5	9	reads	read	NOUN
bjpt-78750	5	10	;	;	PUNCT
bjpt-78750	5	11	plant	plant	NOUN
bjpt-78750	5	12	genome	genome	NOUN
bjpt-78750	5	13	;	;	PUNCT
bjpt-78750	5	14	assembly	assembly	NOUN
bjpt-78750	5	15	;	;	PUNCT
bjpt-78750	5	16	annotation	annotation	NOUN
bjpt-78750	5	17	.	.	PUNCT
bjpt-78750	6	1	abstract	abstract	ADJ
bjpt-78750	6	2	the	the	DET
bjpt-78750	6	3	recent	recent	ADJ
bjpt-78750	6	4	development	development	NOUN
bjpt-78750	6	5	and	and	CCONJ
bjpt-78750	6	6	affordable	affordable	ADJ
bjpt-78750	6	7	accessibility	accessibility	NOUN
bjpt-78750	6	8	of	of	ADP
bjpt-78750	6	9	the	the	DET
bjpt-78750	6	10	next	next	ADJ
bjpt-78750	6	11	-	-	PUNCT
bjpt-78750	6	12	generation	generation	NOUN
bjpt-78750	6	13	highthroughput	highthroughput	NOUN
bjpt-78750	6	14	sequencing	sequence	VERB
bjpt-78750	6	15	technology	technology	NOUN
bjpt-78750	6	16	and	and	CCONJ
bjpt-78750	6	17	artificial	artificial	ADJ
bjpt-78750	6	18	intelligence	intelligence	NOUN
bjpt-78750	6	19	have	have	AUX
bjpt-78750	6	20	propelled	propel	VERB
bjpt-78750	6	21	more	more	ADJ
bjpt-78750	6	22	researchers	researcher	NOUN
bjpt-78750	6	23	to	to	PART
bjpt-78750	6	24	get	get	AUX
bjpt-78750	6	25	involved	involve	VERB
bjpt-78750	6	26	in	in	ADP
bjpt-78750	6	27	genomics	genomic	NOUN
bjpt-78750	6	28	and	and	CCONJ
bjpt-78750	6	29	to	to	ADP
bjpt-78750	6	30	the	the	DET
bjpt-78750	6	31	threshold	threshold	NOUN
bjpt-78750	6	32	of	of	ADP
bjpt-78750	6	33	a	a	DET
bjpt-78750	6	34	new	new	ADJ
bjpt-78750	6	35	beginning	beginning	NOUN
bjpt-78750	6	36	in	in	ADP
bjpt-78750	6	37	understanding	understanding	NOUN
bjpt-78750	6	38	,	,	PUNCT
bjpt-78750	6	39	utilizing	utilizing	NOUN
bjpt-78750	6	40	,	,	PUNCT
bjpt-78750	6	41	and	and	CCONJ
bjpt-78750	6	42	conserving	conserve	VERB
bjpt-78750	6	43	the	the	DET
bjpt-78750	6	44	biodiversity	biodiversity	NOUN
bjpt-78750	6	45	.	.	PUNCT
bjpt-78750	7	1	however	however	ADV
bjpt-78750	7	2	,	,	PUNCT
bjpt-78750	7	3	one	one	NUM
bjpt-78750	7	4	of	of	ADP
bjpt-78750	7	5	the	the	DET
bjpt-78750	7	6	biggest	big	ADJ
bjpt-78750	7	7	challenges	challenge	NOUN
bjpt-78750	7	8	for	for	ADP
bjpt-78750	7	9	the	the	DET
bjpt-78750	7	10	analysis	analysis	NOUN
bjpt-78750	7	11	of	of	ADP
bjpt-78750	7	12	high	high	ADJ
bjpt-78750	7	13	-	-	PUNCT
bjpt-78750	7	14	throughput	throughput	NOUN
bjpt-78750	7	15	sequencing	sequence	VERB
bjpt-78750	7	16	reads	read	NOUN
bjpt-78750	7	17	is	be	AUX
bjpt-78750	7	18	the	the	DET
bjpt-78750	7	19	whole	whole	ADJ
bjpt-78750	7	20	genome	genome	NOUN
bjpt-78750	7	21	assembly	assembly	NOUN
bjpt-78750	7	22	and	and	CCONJ
bjpt-78750	7	23	annotation	annotation	NOUN
bjpt-78750	7	24	.	.	PUNCT
bjpt-78750	8	1	availability	availability	NOUN
bjpt-78750	8	2	of	of	ADP
bjpt-78750	8	3	user	user	NOUN
bjpt-78750	8	4	-	-	PUNCT
bjpt-78750	8	5	friendly	friendly	ADJ
bjpt-78750	8	6	free	free	ADJ
bjpt-78750	8	7	software	software	NOUN
bjpt-78750	8	8	that	that	PRON
bjpt-78750	8	9	manages	manage	VERB
bjpt-78750	8	10	all	all	DET
bjpt-78750	8	11	types	type	NOUN
bjpt-78750	8	12	of	of	ADP
bjpt-78750	8	13	sequenced	sequence	VERB
bjpt-78750	8	14	dna	dna	NOUN
bjpt-78750	8	15	to	to	PART
bjpt-78750	8	16	be	be	AUX
bjpt-78750	8	17	used	use	VERB
bjpt-78750	8	18	in	in	ADP
bjpt-78750	8	19	a	a	DET
bjpt-78750	8	20	local	local	ADJ
bjpt-78750	8	21	environment	environment	NOUN
bjpt-78750	8	22	is	be	AUX
bjpt-78750	8	23	lacking	lack	VERB
bjpt-78750	8	24	.	.	PUNCT
bjpt-78750	9	1	hence	hence	ADV
bjpt-78750	9	2	,	,	PUNCT
bjpt-78750	9	3	the	the	DET
bjpt-78750	9	4	genomic	genomic	ADJ
bjpt-78750	9	5	analysis	analysis	NOUN
bjpt-78750	9	6	made	make	VERB
bjpt-78750	9	7	easy	easy	ADJ
bjpt-78750	9	8	(	(	PUNCT
bjpt-78750	9	9	game	game	NOUN
bjpt-78750	9	10	v1	v1	NOUN
bjpt-78750	9	11	)	)	PUNCT
bjpt-78750	9	12	software	software	NOUN
bjpt-78750	9	13	has	have	AUX
bjpt-78750	9	14	been	be	AUX
bjpt-78750	9	15	developed	develop	VERB
bjpt-78750	9	16	using	use	VERB
bjpt-78750	9	17	python	python	NOUN
bjpt-78750	9	18	to	to	PART
bjpt-78750	9	19	provide	provide	VERB
bjpt-78750	9	20	a	a	DET
bjpt-78750	9	21	user	user	NOUN
bjpt-78750	9	22	-	-	PUNCT
bjpt-78750	9	23	friendly	friendly	ADJ
bjpt-78750	9	24	,	,	PUNCT
bjpt-78750	9	25	fast	fast	ADJ
bjpt-78750	9	26	,	,	PUNCT
bjpt-78750	9	27	free	free	ADJ
bjpt-78750	9	28	,	,	PUNCT
bjpt-78750	9	29	and	and	CCONJ
bjpt-78750	9	30	automated	automate	VERB
bjpt-78750	9	31	gui	gui	NOUN
bjpt-78750	9	32	-	-	PUNCT
bjpt-78750	9	33	based	base	VERB
bjpt-78750	9	34	solution	solution	NOUN
bjpt-78750	9	35	for	for	ADP
bjpt-78750	9	36	plant	plant	NOUN
bjpt-78750	9	37	genome	genome	NOUN
bjpt-78750	9	38	assembly	assembly	NOUN
bjpt-78750	9	39	and	and	CCONJ
bjpt-78750	9	40	annotation	annotation	NOUN
bjpt-78750	9	41	.	.	PUNCT
bjpt-78750	10	1	the	the	DET
bjpt-78750	10	2	software	software	NOUN
bjpt-78750	10	3	performs	perform	VERB
bjpt-78750	10	4	on	on	ADP
bjpt-78750	10	5	a	a	DET
bjpt-78750	10	6	linux	linux	NOUN
bjpt-78750	10	7	-	-	PUNCT
bjpt-78750	10	8	based	base	VERB
bjpt-78750	10	9	operating	operating	NOUN
bjpt-78750	10	10	environment	environment	NOUN
bjpt-78750	10	11	with	with	ADP
bjpt-78750	10	12	a	a	DET
bjpt-78750	10	13	minimum	minimum	NOUN
bjpt-78750	10	14	of	of	ADP
bjpt-78750	10	15	16	16	NUM
bjpt-78750	10	16	gb	gb	NOUN
bjpt-78750	10	17	ram	ram	NOUN
bjpt-78750	10	18	and	and	CCONJ
bjpt-78750	10	19	100	100	NUM
bjpt-78750	10	20	gb	gb	NOUN
bjpt-78750	10	21	disc	disc	NOUN
bjpt-78750	10	22	space	space	NOUN
bjpt-78750	10	23	,	,	PUNCT
bjpt-78750	10	24	fully	fully	ADV
bjpt-78750	10	25	automated	automate	VERB
bjpt-78750	10	26	from	from	ADP
bjpt-78750	10	27	the	the	DET
bjpt-78750	10	28	installation	installation	NOUN
bjpt-78750	10	29	to	to	ADP
bjpt-78750	10	30	execution	execution	NOUN
bjpt-78750	10	31	,	,	PUNCT
bjpt-78750	10	32	thus	thus	ADV
bjpt-78750	10	33	requiring	require	VERB
bjpt-78750	10	34	minimal	minimal	ADJ
bjpt-78750	10	35	bioinformatics	bioinformatics	NOUN
bjpt-78750	10	36	expertise	expertise	NOUN
bjpt-78750	10	37	for	for	ADP
bjpt-78750	10	38	the	the	DET
bjpt-78750	10	39	execution	execution	NOUN
bjpt-78750	10	40	.	.	PUNCT
bjpt-78750	11	1	the	the	DET
bjpt-78750	11	2	game	game	NOUN
bjpt-78750	11	3	v1	v1	NOUN
bjpt-78750	11	4	generates	generate	VERB
bjpt-78750	11	5	detailed	detailed	ADJ
bjpt-78750	11	6	quality	quality	NOUN
bjpt-78750	11	7	reports	report	NOUN
bjpt-78750	11	8	of	of	ADP
bjpt-78750	11	9	the	the	DET
bjpt-78750	11	10	raw	raw	ADJ
bjpt-78750	11	11	reads	read	NOUN
bjpt-78750	11	12	,	,	PUNCT
bjpt-78750	11	13	genomescope	genomescope	NOUN
bjpt-78750	11	14	heterozygosity	heterozygosity	NOUN
bjpt-78750	11	15	report	report	NOUN
bjpt-78750	11	16	,	,	PUNCT
bjpt-78750	11	17	quast	quast	NOUN
bjpt-78750	11	18	contigs	contig	NOUN
bjpt-78750	11	19	and	and	CCONJ
bjpt-78750	11	20	scaffolds	scaffold	VERB
bjpt-78750	11	21	results	result	NOUN
bjpt-78750	11	22	,	,	PUNCT
bjpt-78750	11	23	busco	busco	PROPN
bjpt-78750	11	24	summary	summary	PROPN
bjpt-78750	11	25	plot	plot	NOUN
bjpt-78750	11	26	,	,	PUNCT
bjpt-78750	11	27	cog	cog	PROPN
bjpt-78750	11	28	functional	functional	ADJ
bjpt-78750	11	29	annotation	annotation	NOUN
bjpt-78750	11	30	chart	chart	PROPN
bjpt-78750	11	31	,	,	PUNCT
bjpt-78750	11	32	go	go	VERB
bjpt-78750	11	33	chart	chart	NOUN
bjpt-78750	11	34	,	,	PUNCT
bjpt-78750	11	35	ncbi	ncbi	PROPN
bjpt-78750	11	36	and	and	CCONJ
bjpt-78750	11	37	uniprot	uniprot	ADJ
bjpt-78750	11	38	annotations	annotation	NOUN
bjpt-78750	11	39	,	,	PUNCT
bjpt-78750	11	40	kegg	kegg	NOUN
bjpt-78750	11	41	pathway	pathway	NOUN
bjpt-78750	11	42	distribution	distribution	NOUN
bjpt-78750	11	43	graph	graph	NOUN
bjpt-78750	11	44	,	,	PUNCT
bjpt-78750	11	45	and	and	CCONJ
bjpt-78750	11	46	repeatmasker	repeatmasker	PROPN
bjpt-78750	11	47	plots	plot	NOUN
bjpt-78750	11	48	.	.	PUNCT
bjpt-78750	12	1	the	the	DET
bjpt-78750	12	2	nuclear	nuclear	ADJ
bjpt-78750	12	3	genome	genome	NOUN
bjpt-78750	12	4	of	of	ADP
bjpt-78750	12	5	chenopodium	chenopodium	NOUN
bjpt-78750	12	6	pallidicaule	pallidicaule	NOUN
bjpt-78750	12	7	retrieved	retrieve	VERB
bjpt-78750	12	8	from	from	ADP
bjpt-78750	12	9	ncbi	ncbi	PROPN
bjpt-78750	12	10	was	be	AUX
bjpt-78750	12	11	assembled	assemble	VERB
bjpt-78750	12	12	and	and	CCONJ
bjpt-78750	12	13	annotated	annotate	VERB
bjpt-78750	12	14	successfully	successfully	ADV
bjpt-78750	12	15	using	use	VERB
bjpt-78750	12	16	game	game	NOUN
bjpt-78750	12	17	v1	v1	NOUN
bjpt-78750	12	18	,	,	PUNCT
bjpt-78750	12	19	revealing	reveal	VERB
bjpt-78750	12	20	preliminary	preliminary	ADJ
bjpt-78750	12	21	genome	genome	NOUN
bjpt-78750	12	22	size	size	NOUN
bjpt-78750	12	23	estimate	estimate	NOUN
bjpt-78750	12	24	of	of	ADP
bjpt-78750	12	25	around	around	ADP
bjpt-78750	12	26	419.54	419.54	NUM
bjpt-78750	12	27	mb	mb	ADP
bjpt-78750	12	28	based	base	VERB
bjpt-78750	12	29	on	on	ADP
bjpt-78750	12	30	genomescope	genomescope	NOUN
bjpt-78750	12	31	analysis	analysis	NOUN
bjpt-78750	12	32	prior	prior	ADV
bjpt-78750	12	33	to	to	ADP
bjpt-78750	12	34	assembly	assembly	NOUN
bjpt-78750	12	35	.	.	PUNCT
bjpt-78750	13	1	the	the	DET
bjpt-78750	13	2	final	final	ADJ
bjpt-78750	13	3	assembly	assembly	NOUN
bjpt-78750	13	4	,	,	PUNCT
bjpt-78750	13	5	as	as	SCONJ
bjpt-78750	13	6	assessed	assess	VERB
bjpt-78750	13	7	by	by	ADP
bjpt-78750	13	8	quast	quast	NOUN
bjpt-78750	13	9	,	,	PUNCT
bjpt-78750	13	10	unveiled	unveil	VERB
bjpt-78750	13	11	a	a	DET
bjpt-78750	13	12	total	total	ADJ
bjpt-78750	13	13	length	length	NOUN
bjpt-78750	13	14	of	of	ADP
bjpt-78750	13	15	285.85	285.85	NUM
bjpt-78750	13	16	mb	mb	NOUN
bjpt-78750	13	17	(	(	PUNCT
bjpt-78750	13	18	0.29	0.29	NUM
bjpt-78750	13	19	gb	gb	NOUN
bjpt-78750	13	20	)	)	PUNCT
bjpt-78750	13	21	containing	contain	VERB
bjpt-78750	13	22	23,806	23,806	NUM
bjpt-78750	13	23	genes	gene	NOUN
bjpt-78750	13	24	.	.	PUNCT
bjpt-78750	14	1	this	this	DET
bjpt-78750	14	2	automated	automate	VERB
bjpt-78750	14	3	solution	solution	NOUN
bjpt-78750	14	4	will	will	AUX
bjpt-78750	14	5	facilitate	facilitate	VERB
bjpt-78750	14	6	plant	plant	NOUN
bjpt-78750	14	7	genomics	genomic	NOUN
bjpt-78750	14	8	research	research	NOUN
bjpt-78750	14	9	by	by	ADP
bjpt-78750	14	10	revealing	reveal	VERB
bjpt-78750	14	11	the	the	DET
bjpt-78750	14	12	underlying	underlie	VERB
bjpt-78750	14	13	insights	insight	NOUN
bjpt-78750	14	14	of	of	ADP
bjpt-78750	14	15	draft	draft	NOUN
bjpt-78750	14	16	nuclear	nuclear	ADJ
bjpt-78750	14	17	genomes	genome	NOUN
bjpt-78750	14	18	.	.	PUNCT
bjpt-78750	15	1	the	the	DET
bjpt-78750	15	2	software	software	NOUN
bjpt-78750	15	3	is	be	AUX
bjpt-78750	15	4	available	available	ADJ
bjpt-78750	15	5	at	at	ADP
bjpt-78750	15	6	https://arraygen.com/game	https://arraygen.com/game	PROPN
bjpt-78750	15	7	introduction	introduction	NOUN
bjpt-78750	15	8	the	the	DET
bjpt-78750	15	9	time	time	NOUN
bjpt-78750	15	10	-	-	PUNCT
bjpt-78750	15	11	scale	scale	NOUN
bjpt-78750	15	12	has	have	AUX
bjpt-78750	15	13	witnessed	witness	VERB
bjpt-78750	15	14	tremendous	tremendous	ADJ
bjpt-78750	15	15	changes	change	NOUN
bjpt-78750	15	16	in	in	ADP
bjpt-78750	15	17	nucleic	nucleic	ADJ
bjpt-78750	15	18	acid	acid	NOUN
bjpt-78750	15	19	sequencing	sequence	VERB
bjpt-78750	15	20	technology	technology	NOUN
bjpt-78750	15	21	,	,	PUNCT
bjpt-78750	15	22	moving	move	VERB
bjpt-78750	15	23	from	from	ADP
bjpt-78750	15	24	first	first	ADJ
bjpt-78750	15	25	generation	generation	NOUN
bjpt-78750	15	26	of	of	ADP
bjpt-78750	15	27	sequencing	sequence	VERB
bjpt-78750	15	28	used	use	VERB
bjpt-78750	15	29	for	for	ADP
bjpt-78750	15	30	sequencing	sequence	VERB
bjpt-78750	15	31	of	of	ADP
bjpt-78750	15	32	a	a	DET
bjpt-78750	15	33	short	short	ADJ
bjpt-78750	15	34	oligonucleotides	oligonucleotide	NOUN
bjpt-78750	15	35	to	to	ADP
bjpt-78750	15	36	next	next	ADJ
bjpt-78750	15	37	generation	generation	NOUN
bjpt-78750	15	38	high	high	ADJ
bjpt-78750	15	39	-	-	PUNCT
bjpt-78750	15	40	throughput	throughput	NOUN
bjpt-78750	15	41	sequencing	sequencing	NOUN
bjpt-78750	15	42	used	use	VERB
bjpt-78750	15	43	for	for	ADP
bjpt-78750	15	44	the	the	DET
bjpt-78750	15	45	whole	whole	ADJ
bjpt-78750	15	46	genome	genome	NOUN
bjpt-78750	15	47	and	and	CCONJ
bjpt-78750	15	48	transcriptome	transcriptome	ADJ
bjpt-78750	15	49	analysis	analysis	NOUN
bjpt-78750	15	50	(	(	PUNCT
bjpt-78750	15	51	satam	satam	PROPN
bjpt-78750	15	52	et	et	PROPN
bjpt-78750	15	53	al	al	PROPN
bjpt-78750	15	54	.	.	PROPN
bjpt-78750	15	55	,	,	PUNCT
bjpt-78750	15	56	2023	2023	NUM
bjpt-78750	15	57	)	)	PUNCT
bjpt-78750	15	58	.	.	PUNCT
bjpt-78750	16	1	advances	advance	NOUN
bjpt-78750	16	2	in	in	ADP
bjpt-78750	16	3	high	high	ADJ
bjpt-78750	16	4	-	-	PUNCT
bjpt-78750	16	5	throughput	throughput	NOUN
bjpt-78750	16	6	sequencing	sequence	VERB
bjpt-78750	16	7	technologies	technology	NOUN
bjpt-78750	16	8	,	,	PUNCT
bjpt-78750	16	9	including	include	VERB
bjpt-78750	16	10	long	long	ADV
bjpt-78750	16	11	-	-	PUNCT
bjpt-78750	16	12	read	read	NOUN
bjpt-78750	16	13	platforms	platform	NOUN
bjpt-78750	16	14	like	like	ADP
bjpt-78750	16	15	oxford	oxford	PROPN
bjpt-78750	16	16	nanopore	nanopore	ADV
bjpt-78750	16	17	and	and	CCONJ
bjpt-78750	16	18	pacific	pacific	ADJ
bjpt-78750	16	19	biosciences	bioscience	NOUN
bjpt-78750	16	20	,	,	PUNCT
bjpt-78750	16	21	as	as	ADV
bjpt-78750	16	22	well	well	ADV
bjpt-78750	16	23	as	as	ADP
bjpt-78750	16	24	cost	cost	NOUN
bjpt-78750	16	25	-	-	PUNCT
bjpt-78750	16	26	effective	effective	ADJ
bjpt-78750	16	27	short	short	ADJ
bjpt-78750	16	28	-	-	PUNCT
bjpt-78750	16	29	read	read	NOUN
bjpt-78750	16	30	platforms	platform	NOUN
bjpt-78750	16	31	like	like	ADP
bjpt-78750	16	32	illumina	illumina	NOUN
bjpt-78750	16	33	sequencing	sequencing	NOUN
bjpt-78750	16	34	,	,	PUNCT
bjpt-78750	16	35	have	have	AUX
bjpt-78750	16	36	significantly	significantly	ADV
bjpt-78750	16	37	accelerated	accelerate	VERB
bjpt-78750	16	38	genome	genome	NOUN
bjpt-78750	16	39	sequencing	sequence	VERB
bjpt-78750	16	40	efforts	effort	NOUN
bjpt-78750	16	41	over	over	ADP
bjpt-78750	16	42	the	the	DET
bjpt-78750	16	43	past	past	ADJ
bjpt-78750	16	44	decade	decade	NOUN
bjpt-78750	16	45	.	.	PUNCT
bjpt-78750	17	1	these	these	DET
bjpt-78750	17	2	advancements	advancement	NOUN
bjpt-78750	17	3	have	have	AUX
bjpt-78750	17	4	been	be	AUX
bjpt-78750	17	5	complemented	complement	VERB
bjpt-78750	17	6	by	by	ADP
bjpt-78750	17	7	the	the	DET
bjpt-78750	17	8	development	development	NOUN
bjpt-78750	17	9	of	of	ADP
bjpt-78750	17	10	sophisticated	sophisticated	ADJ
bjpt-78750	17	11	computational	computational	ADJ
bjpt-78750	17	12	tools	tool	NOUN
bjpt-78750	17	13	(	(	PUNCT
bjpt-78750	17	14	tian	tian	PROPN
bjpt-78750	17	15	et	et	PROPN
bjpt-78750	17	16	al	al	PROPN
bjpt-78750	17	17	.	.	PROPN
bjpt-78750	17	18	,	,	PUNCT
bjpt-78750	17	19	2024	2024	NUM
bjpt-78750	17	20	)	)	PUNCT
bjpt-78750	17	21	,	,	PUNCT
bjpt-78750	17	22	the	the	DET
bjpt-78750	17	23	integration	integration	NOUN
bjpt-78750	17	24	of	of	ADP
bjpt-78750	17	25	automation	automation	NOUN
bjpt-78750	17	26	and	and	CCONJ
bjpt-78750	17	27	artificial	artificial	ADJ
bjpt-78750	17	28	intelligence	intelligence	NOUN
bjpt-78750	17	29	(	(	PUNCT
bjpt-78750	17	30	caudai	caudai	NOUN
bjpt-78750	17	31	et	et	PROPN
bjpt-78750	17	32	al	al	PROPN
bjpt-78750	17	33	.	.	PROPN
bjpt-78750	17	34	,	,	PUNCT
bjpt-78750	17	35	2021	2021	NUM
bjpt-78750	17	36	)	)	PUNCT
bjpt-78750	17	37	,	,	PUNCT
bjpt-78750	17	38	and	and	CCONJ
bjpt-78750	17	39	the	the	DET
bjpt-78750	17	40	enhanced	enhanced	ADJ
bjpt-78750	17	41	availability	availability	NOUN
bjpt-78750	17	42	of	of	ADP
bjpt-78750	17	43	high	high	ADJ
bjpt-78750	17	44	-	-	PUNCT
bjpt-78750	17	45	quality	quality	NOUN
bjpt-78750	17	46	genomic	genomic	ADJ
bjpt-78750	17	47	resources	resource	NOUN
bjpt-78750	17	48	,	,	PUNCT
bjpt-78750	17	49	such	such	ADJ
bjpt-78750	17	50	as	as	ADP
bjpt-78750	17	51	chromosome	chromosome	NOUN
bjpt-78750	17	52	-	-	PUNCT
bjpt-78750	17	53	level	level	NOUN
bjpt-78750	17	54	de	de	X
bjpt-78750	17	55	novo	novo	NOUN
bjpt-78750	17	56	genome	genome	NOUN
bjpt-78750	17	57	assemblies	assembly	NOUN
bjpt-78750	17	58	(	(	PUNCT
bjpt-78750	17	59	shirasawa	shirasawa	PROPN
bjpt-78750	17	60	et	et	PROPN
bjpt-78750	17	61	al	al	PROPN
bjpt-78750	17	62	.	.	PROPN
bjpt-78750	17	63	,	,	PUNCT
bjpt-78750	17	64	2021	2021	NUM
bjpt-78750	17	65	)	)	PUNCT
bjpt-78750	17	66	and	and	CCONJ
bjpt-78750	17	67	detailed	detailed	ADJ
bjpt-78750	17	68	genome	genome	NOUN
bjpt-78750	17	69	annotations	annotation	NOUN
bjpt-78750	17	70	(	(	PUNCT
bjpt-78750	17	71	ejigu	ejigu	PROPN
bjpt-78750	17	72	et	et	PROPN
bjpt-78750	17	73	al	al	PROPN
bjpt-78750	17	74	.	.	PROPN
bjpt-78750	17	75	,	,	PUNCT
bjpt-78750	17	76	2020	2020	NUM
bjpt-78750	17	77	)	)	PUNCT
bjpt-78750	17	78	.	.	PUNCT
bjpt-78750	18	1	*	*	PUNCT
bjpt-78750	18	2	corresponding	correspond	VERB
bjpt-78750	18	3	author	author	NOUN
bjpt-78750	18	4	:	:	PUNCT
bjpt-78750	18	5	alimohammad@ksu.edu.sa	alimohammad@ksu.edu.sa	NOUN
bjpt-78750	18	6	https://doi.org/10.3329/bjpt.v31i2.78750	https://doi.org/10.3329/bjpt.v31i2.78750	X
bjpt-78750	18	7	https://arraygen.com/game	https://arraygen.com/game	PROPN
bjpt-78750	18	8	mailto:alimohammad@ksu.edu.sa	mailto:alimohammad@ksu.edu.sa	PROPN
bjpt-78750	18	9	226	226	NUM
bjpt-78750	18	10	ali	ali	PROPN
bjpt-78750	18	11	et	et	PROPN
bjpt-78750	18	12	al	al	PROPN
bjpt-78750	18	13	.	.	PUNCT
bjpt-78750	19	1	together	together	ADV
bjpt-78750	19	2	,	,	PUNCT
bjpt-78750	19	3	these	these	DET
bjpt-78750	19	4	innovations	innovation	NOUN
bjpt-78750	19	5	have	have	AUX
bjpt-78750	19	6	ushered	usher	VERB
bjpt-78750	19	7	in	in	ADP
bjpt-78750	19	8	a	a	DET
bjpt-78750	19	9	new	new	ADJ
bjpt-78750	19	10	era	era	NOUN
bjpt-78750	19	11	of	of	ADP
bjpt-78750	19	12	genomics	genomic	NOUN
bjpt-78750	19	13	,	,	PUNCT
bjpt-78750	19	14	enabling	enable	VERB
bjpt-78750	19	15	ambitious	ambitious	ADJ
bjpt-78750	19	16	projects	project	NOUN
bjpt-78750	19	17	like	like	ADP
bjpt-78750	19	18	the	the	DET
bjpt-78750	19	19	open	open	ADJ
bjpt-78750	19	20	green	green	ADJ
bjpt-78750	19	21	genomes	genome	NOUN
bjpt-78750	19	22	initiative	initiative	NOUN
bjpt-78750	19	23	(	(	PUNCT
bjpt-78750	19	24	https://phytozome-next.jgi.doe.gov/	https://phytozome-next.jgi.doe.gov/	X
bjpt-78750	19	25	)	)	PUNCT
bjpt-78750	19	26	and	and	CCONJ
bjpt-78750	19	27	the	the	DET
bjpt-78750	19	28	earth	earth	NOUN
bjpt-78750	19	29	biogenome	biogenome	NOUN
bjpt-78750	19	30	project	project	NOUN
bjpt-78750	19	31	(	(	PUNCT
bjpt-78750	19	32	https://www.earthbiogenome.org/	https://www.earthbiogenome.org/	NOUN
bjpt-78750	19	33	)	)	PUNCT
bjpt-78750	19	34	to	to	PART
bjpt-78750	19	35	sequence	sequence	VERB
bjpt-78750	19	36	the	the	DET
bjpt-78750	19	37	genomes	genome	NOUN
bjpt-78750	19	38	of	of	ADP
bjpt-78750	19	39	all	all	DET
bjpt-78750	19	40	complex	complex	ADJ
bjpt-78750	19	41	life	life	NOUN
bjpt-78750	19	42	on	on	ADP
bjpt-78750	19	43	earth	earth	NOUN
bjpt-78750	19	44	.	.	PUNCT
bjpt-78750	20	1	in	in	ADP
bjpt-78750	20	2	genomics	genomic	NOUN
bjpt-78750	20	3	,	,	PUNCT
bjpt-78750	20	4	generating	generate	VERB
bjpt-78750	20	5	high	high	ADJ
bjpt-78750	20	6	-	-	PUNCT
bjpt-78750	20	7	quality	quality	NOUN
bjpt-78750	20	8	genome	genome	NOUN
bjpt-78750	20	9	assemblies	assembly	NOUN
bjpt-78750	20	10	and	and	CCONJ
bjpt-78750	20	11	annotations	annotation	NOUN
bjpt-78750	20	12	has	have	AUX
bjpt-78750	20	13	become	become	VERB
bjpt-78750	20	14	essential	essential	ADJ
bjpt-78750	20	15	for	for	ADP
bjpt-78750	20	16	understanding	understand	VERB
bjpt-78750	20	17	the	the	DET
bjpt-78750	20	18	biology	biology	NOUN
bjpt-78750	20	19	of	of	ADP
bjpt-78750	20	20	any	any	DET
bjpt-78750	20	21	species	specie	NOUN
bjpt-78750	20	22	(	(	PUNCT
bjpt-78750	20	23	jung	jung	PROPN
bjpt-78750	20	24	et	et	PROPN
bjpt-78750	20	25	al	al	PROPN
bjpt-78750	20	26	.	.	PROPN
bjpt-78750	20	27	,	,	PUNCT
bjpt-78750	20	28	2020	2020	NUM
bjpt-78750	20	29	)	)	PUNCT
bjpt-78750	20	30	.	.	PUNCT
bjpt-78750	21	1	however	however	ADV
bjpt-78750	21	2	,	,	PUNCT
bjpt-78750	21	3	existing	exist	VERB
bjpt-78750	21	4	software	software	NOUN
bjpt-78750	21	5	for	for	ADP
bjpt-78750	21	6	genome	genome	NOUN
bjpt-78750	21	7	assembly	assembly	NOUN
bjpt-78750	21	8	and	and	CCONJ
bjpt-78750	21	9	annotation	annotation	NOUN
bjpt-78750	21	10	often	often	ADV
bjpt-78750	21	11	demands	demand	VERB
bjpt-78750	21	12	high	high	ADJ
bjpt-78750	21	13	-	-	PUNCT
bjpt-78750	21	14	performance	performance	NOUN
bjpt-78750	21	15	hardware	hardware	NOUN
bjpt-78750	21	16	(	(	PUNCT
bjpt-78750	21	17	kathiresan	kathiresan	PROPN
bjpt-78750	21	18	et	et	PROPN
bjpt-78750	21	19	al	al	PROPN
bjpt-78750	21	20	.	.	PROPN
bjpt-78750	21	21	,	,	PUNCT
bjpt-78750	21	22	2017	2017	NUM
bjpt-78750	21	23	)	)	PUNCT
bjpt-78750	21	24	,	,	PUNCT
bjpt-78750	21	25	advanced	advanced	ADJ
bjpt-78750	21	26	bioinformatics	bioinformatics	NOUN
bjpt-78750	21	27	expertise	expertise	NOUN
bjpt-78750	21	28	(	(	PUNCT
bjpt-78750	21	29	helmy	helmy	INTJ
bjpt-78750	21	30	et	et	PROPN
bjpt-78750	21	31	al	al	PROPN
bjpt-78750	21	32	.	.	PROPN
bjpt-78750	21	33	,	,	PUNCT
bjpt-78750	21	34	2016	2016	NUM
bjpt-78750	21	35	)	)	PUNCT
bjpt-78750	21	36	,	,	PUNCT
bjpt-78750	21	37	and	and	CCONJ
bjpt-78750	21	38	costly	costly	ADJ
bjpt-78750	21	39	subscriptions	subscription	NOUN
bjpt-78750	21	40	(	(	PUNCT
bjpt-78750	21	41	el	el	NOUN
bjpt-78750	21	42	-	-	PROPN
bjpt-78750	21	43	metwally	metwally	ADV
bjpt-78750	21	44	et	et	PROPN
bjpt-78750	21	45	al	al	PROPN
bjpt-78750	21	46	.	.	PROPN
bjpt-78750	21	47	,	,	PUNCT
bjpt-78750	21	48	2013	2013	NUM
bjpt-78750	21	49	)	)	PUNCT
bjpt-78750	21	50	.	.	PUNCT
bjpt-78750	22	1	each	each	DET
bjpt-78750	22	2	tool	tool	NOUN
bjpt-78750	22	3	has	have	VERB
bjpt-78750	22	4	its	its	PRON
bjpt-78750	22	5	unique	unique	ADJ
bjpt-78750	22	6	strengths	strength	NOUN
bjpt-78750	22	7	and	and	CCONJ
bjpt-78750	22	8	limitations	limitation	NOUN
bjpt-78750	22	9	depending	depend	VERB
bjpt-78750	22	10	on	on	ADP
bjpt-78750	22	11	the	the	DET
bjpt-78750	22	12	specific	specific	ADJ
bjpt-78750	22	13	application	application	NOUN
bjpt-78750	22	14	(	(	PUNCT
bjpt-78750	22	15	rice	rice	NOUN
bjpt-78750	22	16	and	and	CCONJ
bjpt-78750	22	17	green	green	NOUN
bjpt-78750	22	18	,	,	PUNCT
bjpt-78750	22	19	2019	2019	NUM
bjpt-78750	22	20	)	)	PUNCT
bjpt-78750	22	21	.	.	PUNCT
bjpt-78750	23	1	despite	despite	SCONJ
bjpt-78750	23	2	this	this	PRON
bjpt-78750	23	3	,	,	PUNCT
bjpt-78750	23	4	selecting	select	VERB
bjpt-78750	23	5	open	open	ADJ
bjpt-78750	23	6	-	-	PUNCT
bjpt-78750	23	7	access	access	NOUN
bjpt-78750	23	8	computational	computational	ADJ
bjpt-78750	23	9	tools	tool	NOUN
bjpt-78750	23	10	capable	capable	ADJ
bjpt-78750	23	11	of	of	ADP
bjpt-78750	23	12	managing	manage	VERB
bjpt-78750	23	13	diverse	diverse	ADJ
bjpt-78750	23	14	dna	dna	NOUN
bjpt-78750	23	15	sequence	sequence	NOUN
bjpt-78750	23	16	types	type	NOUN
bjpt-78750	23	17	in	in	ADP
bjpt-78750	23	18	local	local	ADJ
bjpt-78750	23	19	environments	environment	NOUN
bjpt-78750	23	20	with	with	ADP
bjpt-78750	23	21	minimal	minimal	ADJ
bjpt-78750	23	22	hardware	hardware	NOUN
bjpt-78750	23	23	requirements	requirement	NOUN
bjpt-78750	23	24	and	and	CCONJ
bjpt-78750	23	25	reduced	reduced	ADJ
bjpt-78750	23	26	execution	execution	NOUN
bjpt-78750	23	27	times	time	NOUN
bjpt-78750	23	28	remains	remain	VERB
bjpt-78750	23	29	a	a	DET
bjpt-78750	23	30	significant	significant	ADJ
bjpt-78750	23	31	challenge	challenge	NOUN
bjpt-78750	23	32	(	(	PUNCT
bjpt-78750	23	33	kathiresan	kathiresan	PROPN
bjpt-78750	23	34	et	et	PROPN
bjpt-78750	23	35	al	al	PROPN
bjpt-78750	23	36	.	.	PROPN
bjpt-78750	23	37	,	,	PUNCT
bjpt-78750	23	38	2017	2017	NUM
bjpt-78750	23	39	)	)	PUNCT
bjpt-78750	23	40	.	.	PUNCT
bjpt-78750	24	1	this	this	DET
bjpt-78750	24	2	issue	issue	NOUN
bjpt-78750	24	3	is	be	AUX
bjpt-78750	24	4	particularly	particularly	ADV
bjpt-78750	24	5	pronounced	pronounce	VERB
bjpt-78750	24	6	for	for	ADP
bjpt-78750	24	7	scientists	scientist	NOUN
bjpt-78750	24	8	in	in	ADP
bjpt-78750	24	9	developing	develop	VERB
bjpt-78750	24	10	countries	country	NOUN
bjpt-78750	24	11	,	,	PUNCT
bjpt-78750	24	12	where	where	SCONJ
bjpt-78750	24	13	limited	limited	ADJ
bjpt-78750	24	14	computational	computational	ADJ
bjpt-78750	24	15	resources	resource	NOUN
bjpt-78750	24	16	hinder	hinder	VERB
bjpt-78750	24	17	participation	participation	NOUN
bjpt-78750	24	18	in	in	ADP
bjpt-78750	24	19	the	the	DET
bjpt-78750	24	20	genomic	genomic	NOUN
bjpt-78750	24	21	revolution	revolution	NOUN
bjpt-78750	24	22	(	(	PUNCT
bjpt-78750	24	23	helmy	helmy	INTJ
bjpt-78750	24	24	et	et	PROPN
bjpt-78750	24	25	al	al	PROPN
bjpt-78750	24	26	.	.	PROPN
bjpt-78750	24	27	,	,	PUNCT
bjpt-78750	24	28	2016	2016	NUM
bjpt-78750	24	29	)	)	PUNCT
bjpt-78750	24	30	.	.	PUNCT
bjpt-78750	25	1	to	to	PART
bjpt-78750	25	2	address	address	VERB
bjpt-78750	25	3	these	these	DET
bjpt-78750	25	4	barriers	barrier	NOUN
bjpt-78750	25	5	,	,	PUNCT
bjpt-78750	25	6	genomic	genomic	ADJ
bjpt-78750	25	7	analysis	analysis	NOUN
bjpt-78750	25	8	made	make	VERB
bjpt-78750	25	9	easy	easy	ADJ
bjpt-78750	25	10	(	(	PUNCT
bjpt-78750	25	11	game	game	NOUN
bjpt-78750	25	12	v1	v1	NOUN
bjpt-78750	25	13	)	)	PUNCT
bjpt-78750	25	14	has	have	AUX
bjpt-78750	25	15	been	be	AUX
bjpt-78750	25	16	developed	develop	VERB
bjpt-78750	25	17	.	.	PUNCT
bjpt-78750	26	1	game	game	NOUN
bjpt-78750	26	2	v1	v1	NOUN
bjpt-78750	26	3	is	be	AUX
bjpt-78750	26	4	an	an	DET
bjpt-78750	26	5	innovative	innovative	ADJ
bjpt-78750	26	6	,	,	PUNCT
bjpt-78750	26	7	user	user	NOUN
bjpt-78750	26	8	-	-	PUNCT
bjpt-78750	26	9	friendly	friendly	ADJ
bjpt-78750	26	10	,	,	PUNCT
bjpt-78750	26	11	and	and	CCONJ
bjpt-78750	26	12	fully	fully	ADV
bjpt-78750	26	13	automated	automate	VERB
bjpt-78750	26	14	gui	gui	NOUN
bjpt-78750	26	15	-	-	PUNCT
bjpt-78750	26	16	based	base	VERB
bjpt-78750	26	17	software	software	NOUN
bjpt-78750	26	18	designed	design	VERB
bjpt-78750	26	19	to	to	PART
bjpt-78750	26	20	simplify	simplify	VERB
bjpt-78750	26	21	the	the	DET
bjpt-78750	26	22	complex	complex	ADJ
bjpt-78750	26	23	and	and	CCONJ
bjpt-78750	26	24	resource	resource	NOUN
bjpt-78750	26	25	-	-	PUNCT
bjpt-78750	26	26	intensive	intensive	ADJ
bjpt-78750	26	27	process	process	NOUN
bjpt-78750	26	28	of	of	ADP
bjpt-78750	26	29	plant	plant	NOUN
bjpt-78750	26	30	genome	genome	NOUN
bjpt-78750	26	31	assembly	assembly	NOUN
bjpt-78750	26	32	and	and	CCONJ
bjpt-78750	26	33	annotation	annotation	NOUN
bjpt-78750	26	34	.	.	PUNCT
bjpt-78750	27	1	built	build	VERB
bjpt-78750	27	2	using	use	VERB
bjpt-78750	27	3	python	python	NOUN
bjpt-78750	27	4	,	,	PUNCT
bjpt-78750	27	5	game	game	NOUN
bjpt-78750	27	6	v1	v1	NOUN
bjpt-78750	27	7	combines	combine	VERB
bjpt-78750	27	8	speed	speed	NOUN
bjpt-78750	27	9	,	,	PUNCT
bjpt-78750	27	10	efficiency	efficiency	NOUN
bjpt-78750	27	11	,	,	PUNCT
bjpt-78750	27	12	and	and	CCONJ
bjpt-78750	27	13	accessibility	accessibility	NOUN
bjpt-78750	27	14	,	,	PUNCT
bjpt-78750	27	15	making	make	VERB
bjpt-78750	27	16	it	it	PRON
bjpt-78750	27	17	an	an	DET
bjpt-78750	27	18	ideal	ideal	ADJ
bjpt-78750	27	19	tool	tool	NOUN
bjpt-78750	27	20	for	for	ADP
bjpt-78750	27	21	researchers	researcher	NOUN
bjpt-78750	27	22	with	with	ADP
bjpt-78750	27	23	limited	limited	ADJ
bjpt-78750	27	24	computational	computational	ADJ
bjpt-78750	27	25	resources	resource	NOUN
bjpt-78750	27	26	or	or	CCONJ
bjpt-78750	27	27	bioinformatics	bioinformatics	NOUN
bjpt-78750	27	28	expertise	expertise	NOUN
bjpt-78750	27	29	.	.	PUNCT
bjpt-78750	28	1	by	by	ADP
bjpt-78750	28	2	integrating	integrate	VERB
bjpt-78750	28	3	multiple	multiple	ADJ
bjpt-78750	28	4	steps	step	NOUN
bjpt-78750	28	5	into	into	ADP
bjpt-78750	28	6	a	a	DET
bjpt-78750	28	7	single	single	ADJ
bjpt-78750	28	8	streamlined	streamlined	ADJ
bjpt-78750	28	9	workflow	workflow	NOUN
bjpt-78750	28	10	,	,	PUNCT
bjpt-78750	28	11	the	the	DET
bjpt-78750	28	12	software	software	NOUN
bjpt-78750	28	13	minimizes	minimize	VERB
bjpt-78750	28	14	the	the	DET
bjpt-78750	28	15	technical	technical	ADJ
bjpt-78750	28	16	challenges	challenge	NOUN
bjpt-78750	28	17	typically	typically	ADV
bjpt-78750	28	18	associated	associate	VERB
bjpt-78750	28	19	with	with	ADP
bjpt-78750	28	20	genome	genome	NOUN
bjpt-78750	28	21	analysis	analysis	NOUN
bjpt-78750	28	22	.	.	PUNCT
bjpt-78750	29	1	game	game	NOUN
bjpt-78750	29	2	v1	v1	NOUN
bjpt-78750	29	3	is	be	AUX
bjpt-78750	29	4	available	available	ADJ
bjpt-78750	29	5	for	for	ADP
bjpt-78750	29	6	free	free	ADJ
bjpt-78750	29	7	,	,	PUNCT
bjpt-78750	29	8	ensuring	ensure	VERB
bjpt-78750	29	9	that	that	SCONJ
bjpt-78750	29	10	scientists	scientist	NOUN
bjpt-78750	29	11	,	,	PUNCT
bjpt-78750	29	12	particularly	particularly	ADV
bjpt-78750	29	13	having	have	VERB
bjpt-78750	29	14	resource	resource	NOUN
bjpt-78750	29	15	-	-	PUNCT
bjpt-78750	29	16	constrained	constrain	VERB
bjpt-78750	29	17	settings	setting	NOUN
bjpt-78750	29	18	,	,	PUNCT
bjpt-78750	29	19	can	can	AUX
bjpt-78750	29	20	actively	actively	ADV
bjpt-78750	29	21	participate	participate	VERB
bjpt-78750	29	22	in	in	ADP
bjpt-78750	29	23	cuttingedge	cuttingedge	ADJ
bjpt-78750	29	24	genomic	genomic	ADJ
bjpt-78750	29	25	research	research	NOUN
bjpt-78750	29	26	without	without	ADP
bjpt-78750	29	27	the	the	DET
bjpt-78750	29	28	need	need	NOUN
bjpt-78750	29	29	for	for	ADP
bjpt-78750	29	30	expensive	expensive	ADJ
bjpt-78750	29	31	hardware	hardware	NOUN
bjpt-78750	29	32	or	or	CCONJ
bjpt-78750	29	33	paid	pay	VERB
bjpt-78750	29	34	subscriptions	subscription	NOUN
bjpt-78750	29	35	.	.	PUNCT
bjpt-78750	30	1	with	with	ADP
bjpt-78750	30	2	its	its	PRON
bjpt-78750	30	3	intuitive	intuitive	ADJ
bjpt-78750	30	4	interface	interface	NOUN
bjpt-78750	30	5	and	and	CCONJ
bjpt-78750	30	6	robust	robust	ADJ
bjpt-78750	30	7	performance	performance	NOUN
bjpt-78750	30	8	,	,	PUNCT
bjpt-78750	30	9	game	game	NOUN
bjpt-78750	30	10	v1	v1	NOUN
bjpt-78750	30	11	empowers	empower	VERB
bjpt-78750	30	12	researchers	researcher	NOUN
bjpt-78750	30	13	to	to	PART
bjpt-78750	30	14	focus	focus	VERB
bjpt-78750	30	15	on	on	ADP
bjpt-78750	30	16	scientific	scientific	ADJ
bjpt-78750	30	17	discovery	discovery	NOUN
bjpt-78750	30	18	while	while	SCONJ
bjpt-78750	30	19	democratizing	democratize	VERB
bjpt-78750	30	20	access	access	NOUN
bjpt-78750	30	21	to	to	ADP
bjpt-78750	30	22	advanced	advanced	ADJ
bjpt-78750	30	23	genomic	genomic	NOUN
bjpt-78750	30	24	tools	tool	NOUN
bjpt-78750	30	25	.	.	PUNCT
bjpt-78750	31	1	materials	material	NOUN
bjpt-78750	31	2	and	and	CCONJ
bjpt-78750	31	3	methods	method	NOUN
bjpt-78750	31	4	game	game	NOUN
bjpt-78750	31	5	v1	v1	NOUN
bjpt-78750	31	6	was	be	AUX
bjpt-78750	31	7	developed	develop	VERB
bjpt-78750	31	8	on	on	ADP
bjpt-78750	31	9	a	a	DET
bjpt-78750	31	10	linux	linux	NOUN
bjpt-78750	31	11	platform	platform	NOUN
bjpt-78750	31	12	using	use	VERB
bjpt-78750	31	13	python	python	NOUN
bjpt-78750	31	14	to	to	PART
bjpt-78750	31	15	create	create	VERB
bjpt-78750	31	16	an	an	DET
bjpt-78750	31	17	automated	automate	VERB
bjpt-78750	31	18	,	,	PUNCT
bjpt-78750	31	19	userfriendly	userfriendly	ADV
bjpt-78750	31	20	pipeline	pipeline	NOUN
bjpt-78750	31	21	for	for	ADP
bjpt-78750	31	22	plant	plant	NOUN
bjpt-78750	31	23	genome	genome	NOUN
bjpt-78750	31	24	assembly	assembly	NOUN
bjpt-78750	31	25	and	and	CCONJ
bjpt-78750	31	26	annotation	annotation	NOUN
bjpt-78750	31	27	from	from	ADP
bjpt-78750	31	28	illumina	illumina	ADJ
bjpt-78750	31	29	sequencing	sequence	VERB
bjpt-78750	31	30	data	datum	NOUN
bjpt-78750	31	31	.	.	PUNCT
bjpt-78750	32	1	it	it	PRON
bjpt-78750	32	2	integrates	integrate	VERB
bjpt-78750	32	3	numerous	numerous	ADJ
bjpt-78750	32	4	bioinformatics	bioinformatics	NOUN
bjpt-78750	32	5	tools	tool	NOUN
bjpt-78750	32	6	to	to	PART
bjpt-78750	32	7	streamline	streamline	VERB
bjpt-78750	32	8	complex	complex	ADJ
bjpt-78750	32	9	genomic	genomic	ADJ
bjpt-78750	32	10	workflows	workflow	NOUN
bjpt-78750	32	11	.	.	PUNCT
bjpt-78750	33	1	the	the	DET
bjpt-78750	33	2	apt	apt	ADJ
bjpt-78750	33	3	and	and	CCONJ
bjpt-78750	33	4	pip3	pip3	NOUN
bjpt-78750	33	5	packages	package	NOUN
bjpt-78750	33	6	ensure	ensure	VERB
bjpt-78750	33	7	seamless	seamless	ADJ
bjpt-78750	33	8	installation	installation	NOUN
bjpt-78750	33	9	and	and	CCONJ
bjpt-78750	33	10	management	management	NOUN
bjpt-78750	33	11	of	of	ADP
bjpt-78750	33	12	dependencies	dependency	NOUN
bjpt-78750	33	13	,	,	PUNCT
bjpt-78750	33	14	while	while	SCONJ
bjpt-78750	33	15	java	java	PROPN
bjpt-78750	33	16	facilitates	facilitate	VERB
bjpt-78750	33	17	the	the	DET
bjpt-78750	33	18	execution	execution	NOUN
bjpt-78750	33	19	of	of	ADP
bjpt-78750	33	20	cross	cross	ADJ
bjpt-78750	33	21	-	-	ADJ
bjpt-78750	33	22	platform	platform	ADJ
bjpt-78750	33	23	tools	tool	NOUN
bjpt-78750	33	24	used	use	VERB
bjpt-78750	33	25	in	in	ADP
bjpt-78750	33	26	various	various	ADJ
bjpt-78750	33	27	pipeline	pipeline	NOUN
bjpt-78750	33	28	stages	stage	NOUN
bjpt-78750	33	29	.	.	PUNCT
bjpt-78750	34	1	for	for	ADP
bjpt-78750	34	2	sequence	sequence	NOUN
bjpt-78750	34	3	quality	quality	NOUN
bjpt-78750	34	4	assessment	assessment	NOUN
bjpt-78750	34	5	and	and	CCONJ
bjpt-78750	34	6	preprocessing	preprocessing	NOUN
bjpt-78750	34	7	,	,	PUNCT
bjpt-78750	34	8	fastqc	fastqc	ADJ
bjpt-78750	34	9	evaluates	evaluate	VERB
bjpt-78750	34	10	raw	raw	ADJ
bjpt-78750	34	11	read	read	NOUN
bjpt-78750	34	12	quality	quality	NOUN
bjpt-78750	34	13	,	,	PUNCT
bjpt-78750	34	14	and	and	CCONJ
bjpt-78750	34	15	fastp	fastp	NOUN
bjpt-78750	34	16	performs	perform	VERB
bjpt-78750	34	17	adapter	adapter	NOUN
bjpt-78750	34	18	trimming	trimming	NOUN
bjpt-78750	34	19	and	and	CCONJ
bjpt-78750	34	20	quality	quality	NOUN
bjpt-78750	34	21	filtering	filtering	NOUN
bjpt-78750	34	22	to	to	PART
bjpt-78750	34	23	ensure	ensure	VERB
bjpt-78750	34	24	high	high	ADJ
bjpt-78750	34	25	-	-	PUNCT
bjpt-78750	34	26	quality	quality	NOUN
bjpt-78750	34	27	inputs	input	NOUN
bjpt-78750	34	28	for	for	ADP
bjpt-78750	34	29	assembly	assembly	NOUN
bjpt-78750	34	30	(	(	PUNCT
bjpt-78750	34	31	jung	jung	PROPN
bjpt-78750	34	32	et	et	PROPN
bjpt-78750	34	33	al	al	PROPN
bjpt-78750	34	34	.	.	PROPN
bjpt-78750	34	35	,	,	PUNCT
bjpt-78750	34	36	2020	2020	NUM
bjpt-78750	34	37	)	)	PUNCT
bjpt-78750	34	38	.	.	PUNCT
bjpt-78750	35	1	the	the	DET
bjpt-78750	35	2	gatb	gatb	PROPN
bjpt-78750	35	3	minia	minia	NOUN
bjpt-78750	35	4	pipeline	pipeline	NOUN
bjpt-78750	35	5	was	be	AUX
bjpt-78750	35	6	chosen	choose	VERB
bjpt-78750	35	7	as	as	ADP
bjpt-78750	35	8	the	the	DET
bjpt-78750	35	9	primary	primary	ADJ
bjpt-78750	35	10	genome	genome	NOUN
bjpt-78750	35	11	assembler	assembler	NOUN
bjpt-78750	35	12	due	due	ADP
bjpt-78750	35	13	to	to	ADP
bjpt-78750	35	14	its	its	PRON
bjpt-78750	35	15	high	high	ADJ
bjpt-78750	35	16	performance	performance	NOUN
bjpt-78750	35	17	with	with	ADP
bjpt-78750	35	18	low	low	ADJ
bjpt-78750	35	19	-	-	PUNCT
bjpt-78750	35	20	memory	memory	NOUN
bjpt-78750	35	21	requirements	requirement	NOUN
bjpt-78750	35	22	,	,	PUNCT
bjpt-78750	35	23	making	make	VERB
bjpt-78750	35	24	it	it	PRON
bjpt-78750	35	25	particularly	particularly	ADV
bjpt-78750	35	26	suitable	suitable	ADJ
bjpt-78750	35	27	for	for	ADP
bjpt-78750	35	28	resourceconstrained	resourceconstraine	VERB
bjpt-78750	35	29	environments	environment	NOUN
bjpt-78750	35	30	(	(	PUNCT
bjpt-78750	35	31	drezen	drezen	NOUN
bjpt-78750	35	32	et	et	NOUN
bjpt-78750	35	33	al	al	PROPN
bjpt-78750	35	34	.	.	PROPN
bjpt-78750	35	35	,	,	PUNCT
bjpt-78750	35	36	2014	2014	NUM
bjpt-78750	35	37	)	)	PUNCT
bjpt-78750	35	38	.	.	PUNCT
bjpt-78750	36	1	while	while	SCONJ
bjpt-78750	36	2	assemblers	assembler	NOUN
bjpt-78750	36	3	such	such	ADJ
bjpt-78750	36	4	as	as	ADP
bjpt-78750	36	5	masurca	masurca	NOUN
bjpt-78750	36	6	or	or	CCONJ
bjpt-78750	36	7	spades	spade	NOUN
bjpt-78750	36	8	offer	offer	VERB
bjpt-78750	36	9	robust	robust	ADJ
bjpt-78750	36	10	assembly	assembly	NOUN
bjpt-78750	36	11	capabilities	capability	NOUN
bjpt-78750	36	12	,	,	PUNCT
bjpt-78750	36	13	their	their	PRON
bjpt-78750	36	14	higher	high	ADJ
bjpt-78750	36	15	computational	computational	ADJ
bjpt-78750	36	16	demands	demand	NOUN
bjpt-78750	36	17	and	and	CCONJ
bjpt-78750	36	18	memory	memory	NOUN
bjpt-78750	36	19	footprints	footprint	NOUN
bjpt-78750	36	20	can	can	AUX
bjpt-78750	36	21	be	be	AUX
bjpt-78750	36	22	prohibitive	prohibitive	ADJ
bjpt-78750	36	23	for	for	ADP
bjpt-78750	36	24	researchers	researcher	NOUN
bjpt-78750	36	25	with	with	ADP
bjpt-78750	36	26	limited	limited	ADJ
bjpt-78750	36	27	hardware	hardware	NOUN
bjpt-78750	36	28	resources	resource	NOUN
bjpt-78750	36	29	.	.	PUNCT
bjpt-78750	37	1	gatb	gatb	PROPN
bjpt-78750	37	2	minia	minia	NOUN
bjpt-78750	37	3	excels	excel	NOUN
bjpt-78750	37	4	in	in	ADP
bjpt-78750	37	5	efficiently	efficiently	ADV
bjpt-78750	37	6	assembling	assemble	VERB
bjpt-78750	37	7	genomes	genome	NOUN
bjpt-78750	37	8	from	from	ADP
bjpt-78750	37	9	large	large	ADJ
bjpt-78750	37	10	illumina	illumina	ADJ
bjpt-78750	37	11	datasets	dataset	NOUN
bjpt-78750	37	12	,	,	PUNCT
bjpt-78750	37	13	aligning	align	VERB
bjpt-78750	37	14	with	with	ADP
bjpt-78750	37	15	the	the	DET
bjpt-78750	37	16	objectives	objective	NOUN
bjpt-78750	37	17	of	of	ADP
bjpt-78750	37	18	game	game	NOUN
bjpt-78750	37	19	v1	v1	NOUN
bjpt-78750	37	20	to	to	PART
bjpt-78750	37	21	provide	provide	VERB
bjpt-78750	37	22	a	a	DET
bjpt-78750	37	23	lightweight	lightweight	ADJ
bjpt-78750	37	24	and	and	CCONJ
bjpt-78750	37	25	accessible	accessible	ADJ
bjpt-78750	37	26	solution	solution	NOUN
bjpt-78750	37	27	(	(	PUNCT
bjpt-78750	37	28	https://github.com/gatb/gatb-minia-pipeline	https://github.com/gatb/gatb-minia-pipeline	X
bjpt-78750	37	29	)	)	PUNCT
bjpt-78750	37	30	.	.	PUNCT
bjpt-78750	38	1	tools	tool	NOUN
bjpt-78750	38	2	like	like	ADP
bjpt-78750	38	3	kmergenie	kmergenie	NOUN
bjpt-78750	38	4	optimize	optimize	PROPN
bjpt-78750	38	5	k	k	PROPN
bjpt-78750	38	6	-	-	PUNCT
bjpt-78750	38	7	mer	mer	NOUN
bjpt-78750	38	8	selection	selection	NOUN
bjpt-78750	38	9	,	,	PUNCT
bjpt-78750	38	10	a	a	DET
bjpt-78750	38	11	critical	critical	ADJ
bjpt-78750	38	12	step	step	NOUN
bjpt-78750	38	13	in	in	ADP
bjpt-78750	38	14	improving	improve	VERB
bjpt-78750	38	15	assembly	assembly	NOUN
bjpt-78750	38	16	accuracy	accuracy	NOUN
bjpt-78750	38	17	,	,	PUNCT
bjpt-78750	38	18	and	and	CCONJ
bjpt-78750	38	19	quast	quast	NOUN
bjpt-78750	38	20	evaluates	evaluate	VERB
bjpt-78750	38	21	the	the	DET
bjpt-78750	38	22	quality	quality	NOUN
bjpt-78750	38	23	of	of	ADP
bjpt-78750	38	24	assembled	assemble	VERB
bjpt-78750	38	25	contigs	contig	NOUN
bjpt-78750	38	26	through	through	ADP
bjpt-78750	38	27	metrics	metric	NOUN
bjpt-78750	38	28	such	such	ADJ
bjpt-78750	38	29	as	as	ADP
bjpt-78750	38	30	n50	n50	NOUN
bjpt-78750	38	31	and	and	CCONJ
bjpt-78750	38	32	misassemblies	misassemblie	NOUN
bjpt-78750	38	33	(	(	PUNCT
bjpt-78750	38	34	gurevich	gurevich	PROPN
bjpt-78750	38	35	et	et	PROPN
bjpt-78750	38	36	al	al	PROPN
bjpt-78750	38	37	.	.	PROPN
bjpt-78750	38	38	,	,	PUNCT
bjpt-78750	38	39	2013	2013	NUM
bjpt-78750	38	40	)	)	PUNCT
bjpt-78750	38	41	.	.	PUNCT
bjpt-78750	39	1	for	for	ADP
bjpt-78750	39	2	sequence	sequence	NOUN
bjpt-78750	39	3	alignment	alignment	NOUN
bjpt-78750	39	4	,	,	PUNCT
bjpt-78750	39	5	bwa	bwa	PROPN
bjpt-78750	39	6	maps	map	NOUN
bjpt-78750	39	7	reads	read	VERB
bjpt-78750	39	8	to	to	PART
bjpt-78750	39	9	reference	reference	VERB
bjpt-78750	39	10	sequences	sequence	NOUN
bjpt-78750	39	11	,	,	PUNCT
bjpt-78750	39	12	supporting	support	VERB
bjpt-78750	39	13	downstream	downstream	ADJ
bjpt-78750	39	14	analysis	analysis	NOUN
bjpt-78750	39	15	.	.	PUNCT
bjpt-78750	40	1	functional	functional	ADJ
bjpt-78750	40	2	annotation	annotation	NOUN
bjpt-78750	40	3	is	be	AUX
bjpt-78750	40	4	carried	carry	VERB
bjpt-78750	40	5	out	out	ADP
bjpt-78750	40	6	using	use	VERB
bjpt-78750	40	7	prodigal	prodigal	ADJ
bjpt-78750	40	8	for	for	ADP
bjpt-78750	40	9	gene	gene	NOUN
bjpt-78750	40	10	prediction	prediction	NOUN
bjpt-78750	40	11	,	,	PUNCT
bjpt-78750	40	12	augustus	augustus	PROPN
bjpt-78750	40	13	for	for	ADP
bjpt-78750	40	14	advanced	advanced	ADJ
bjpt-78750	40	15	gene	gene	NOUN
bjpt-78750	40	16	model	model	NOUN
bjpt-78750	40	17	prediction	prediction	NOUN
bjpt-78750	40	18	,	,	PUNCT
bjpt-78750	40	19	and	and	CCONJ
bjpt-78750	40	20	busco	busco	PROPN
bjpt-78750	40	21	,	,	PUNCT
bjpt-78750	40	22	which	which	PRON
bjpt-78750	40	23	assesses	assess	VERB
bjpt-78750	40	24	https://phytozome-next.jgi.doe.gov/	https://phytozome-next.jgi.doe.gov/	PRON
bjpt-78750	40	25	)	)	PUNCT
bjpt-78750	40	26	https://www.earthbiogenome.org/	https://www.earthbiogenome.org/	NOUN
bjpt-78750	40	27	)	)	PUNCT
bjpt-78750	40	28	https://github.com/gatb/gatb-minia-pipeline	https://github.com/gatb/gatb-minia-pipeline	PROPN
bjpt-78750	40	29	)	)	PUNCT
bjpt-78750	40	30	.	.	PUNCT
bjpt-78750	41	1	genomic	genomic	ADJ
bjpt-78750	41	2	analysis	analysis	NOUN
bjpt-78750	41	3	made	make	VERB
bjpt-78750	41	4	easy	easy	ADJ
bjpt-78750	41	5	(	(	PUNCT
bjpt-78750	41	6	game	game	NOUN
bjpt-78750	41	7	v1	v1	NOUN
bjpt-78750	41	8	):	):	PUNCT
bjpt-78750	41	9	an	an	DET
bjpt-78750	41	10	automated	automate	VERB
bjpt-78750	41	11	software	software	NOUN
bjpt-78750	41	12	227	227	NUM
bjpt-78750	41	13	the	the	DET
bjpt-78750	41	14	completeness	completeness	NOUN
bjpt-78750	41	15	of	of	ADP
bjpt-78750	41	16	genome	genome	NOUN
bjpt-78750	41	17	assemblies	assembly	NOUN
bjpt-78750	41	18	based	base	VERB
bjpt-78750	41	19	on	on	ADP
bjpt-78750	41	20	conserved	conserve	VERB
bjpt-78750	41	21	single	single	ADJ
bjpt-78750	41	22	-	-	PUNCT
bjpt-78750	41	23	copy	copy	NOUN
bjpt-78750	41	24	orthologs	ortholog	NOUN
bjpt-78750	41	25	(	(	PUNCT
bjpt-78750	41	26	simão	simão	PROPN
bjpt-78750	41	27	et	et	PROPN
bjpt-78750	41	28	al	al	PROPN
bjpt-78750	41	29	.	.	PROPN
bjpt-78750	41	30	,	,	PUNCT
bjpt-78750	41	31	2015	2015	NUM
bjpt-78750	41	32	)	)	PUNCT
bjpt-78750	41	33	.	.	PUNCT
bjpt-78750	42	1	repeatmasker	repeatmasker	PROPN
bjpt-78750	42	2	identifies	identifie	NOUN
bjpt-78750	42	3	and	and	CCONJ
bjpt-78750	42	4	masks	mask	NOUN
bjpt-78750	42	5	repetitive	repetitive	ADJ
bjpt-78750	42	6	dna	dna	NOUN
bjpt-78750	42	7	elements	element	NOUN
bjpt-78750	42	8	,	,	PUNCT
bjpt-78750	42	9	improving	improve	VERB
bjpt-78750	42	10	the	the	DET
bjpt-78750	42	11	annotation	annotation	NOUN
bjpt-78750	42	12	process	process	NOUN
bjpt-78750	42	13	(	(	PUNCT
bjpt-78750	42	14	tarailo‐graovac	tarailo‐graovac	ADP
bjpt-78750	42	15	and	and	CCONJ
bjpt-78750	42	16	chen	chen	PROPN
bjpt-78750	42	17	,	,	PUNCT
bjpt-78750	42	18	2009	2009	NUM
bjpt-78750	42	19	)	)	PUNCT
bjpt-78750	42	20	.	.	PUNCT
bjpt-78750	43	1	for	for	ADP
bjpt-78750	43	2	homology	homology	NOUN
bjpt-78750	43	3	-	-	PUNCT
bjpt-78750	43	4	based	base	VERB
bjpt-78750	43	5	functional	functional	ADJ
bjpt-78750	43	6	annotation	annotation	NOUN
bjpt-78750	43	7	,	,	PUNCT
bjpt-78750	43	8	diamond	diamond	NOUN
bjpt-78750	43	9	,	,	PUNCT
bjpt-78750	43	10	hmmer	hmmer	NOUN
bjpt-78750	43	11	(	(	PUNCT
bjpt-78750	43	12	hmmscan	hmmscan	PROPN
bjpt-78750	43	13	)	)	PUNCT
bjpt-78750	43	14	,	,	PUNCT
bjpt-78750	43	15	and	and	CCONJ
bjpt-78750	43	16	metaeuk	metaeuk	NOUN
bjpt-78750	43	17	enable	enable	VERB
bjpt-78750	43	18	rapid	rapid	ADJ
bjpt-78750	43	19	and	and	CCONJ
bjpt-78750	43	20	sensitive	sensitive	ADJ
bjpt-78750	43	21	protein	protein	NOUN
bjpt-78750	43	22	sequence	sequence	NOUN
bjpt-78750	43	23	comparisons	comparison	NOUN
bjpt-78750	43	24	.	.	PUNCT
bjpt-78750	44	1	visualization	visualization	NOUN
bjpt-78750	44	2	and	and	CCONJ
bjpt-78750	44	3	statistical	statistical	ADJ
bjpt-78750	44	4	analysis	analysis	NOUN
bjpt-78750	44	5	are	be	AUX
bjpt-78750	44	6	conducted	conduct	VERB
bjpt-78750	44	7	using	use	VERB
bjpt-78750	44	8	ggplot2	ggplot2	PROPN
bjpt-78750	44	9	in	in	ADP
bjpt-78750	44	10	r	r	PROPN
bjpt-78750	44	11	,	,	PUNCT
bjpt-78750	44	12	which	which	PRON
bjpt-78750	44	13	generates	generate	VERB
bjpt-78750	44	14	highquality	highquality	NOUN
bjpt-78750	44	15	plots	plot	NOUN
bjpt-78750	44	16	for	for	ADP
bjpt-78750	44	17	gene	gene	NOUN
bjpt-78750	44	18	ontology	ontology	NOUN
bjpt-78750	44	19	(	(	PUNCT
bjpt-78750	44	20	go	go	VERB
bjpt-78750	44	21	)	)	PUNCT
bjpt-78750	44	22	and	and	CCONJ
bjpt-78750	44	23	kegg	kegg	NOUN
bjpt-78750	44	24	(	(	PUNCT
bjpt-78750	44	25	kyoto	kyoto	PROPN
bjpt-78750	44	26	encyclopedia	encyclopedia	NOUN
bjpt-78750	44	27	of	of	ADP
bjpt-78750	44	28	genes	gene	NOUN
bjpt-78750	44	29	and	and	CCONJ
bjpt-78750	44	30	genomes	genome	NOUN
bjpt-78750	44	31	)	)	PUNCT
bjpt-78750	44	32	pathway	pathway	NOUN
bjpt-78750	44	33	enrichment	enrichment	NOUN
bjpt-78750	44	34	analyses	analysis	NOUN
bjpt-78750	44	35	,	,	PUNCT
bjpt-78750	44	36	providing	provide	VERB
bjpt-78750	44	37	functional	functional	ADJ
bjpt-78750	44	38	insights	insight	NOUN
bjpt-78750	44	39	(	(	PUNCT
bjpt-78750	44	40	wickham	wickham	PROPN
bjpt-78750	44	41	,	,	PUNCT
bjpt-78750	44	42	2011	2011	NUM
bjpt-78750	44	43	)	)	PUNCT
bjpt-78750	44	44	.	.	PUNCT
bjpt-78750	45	1	supporting	support	VERB
bjpt-78750	45	2	tools	tool	NOUN
bjpt-78750	45	3	like	like	ADP
bjpt-78750	45	4	git	git	NOUN
bjpt-78750	45	5	ensure	ensure	VERB
bjpt-78750	45	6	version	version	NOUN
bjpt-78750	45	7	control	control	NOUN
bjpt-78750	45	8	and	and	CCONJ
bjpt-78750	45	9	collaboration	collaboration	NOUN
bjpt-78750	45	10	during	during	ADP
bjpt-78750	45	11	software	software	NOUN
bjpt-78750	45	12	development	development	NOUN
bjpt-78750	45	13	,	,	PUNCT
bjpt-78750	45	14	while	while	SCONJ
bjpt-78750	45	15	cmake	cmake	NOUN
bjpt-78750	45	16	automates	automate	VERB
bjpt-78750	45	17	the	the	DET
bjpt-78750	45	18	compilation	compilation	NOUN
bjpt-78750	45	19	and	and	CCONJ
bjpt-78750	45	20	build	build	VERB
bjpt-78750	45	21	process	process	NOUN
bjpt-78750	45	22	for	for	ADP
bjpt-78750	45	23	integrated	integrated	ADJ
bjpt-78750	45	24	tools	tool	NOUN
bjpt-78750	45	25	(	(	PUNCT
bjpt-78750	45	26	perez	perez	PROPN
bjpt-78750	45	27	-	-	PUNCT
bjpt-78750	45	28	riverol	riverol	NOUN
bjpt-78750	45	29	et	et	PROPN
bjpt-78750	45	30	al	al	PROPN
bjpt-78750	45	31	.	.	PROPN
bjpt-78750	45	32	,	,	PUNCT
bjpt-78750	45	33	2016	2016	NUM
bjpt-78750	45	34	)	)	PUNCT
bjpt-78750	45	35	.	.	PUNCT
bjpt-78750	46	1	utilities	utility	NOUN
bjpt-78750	46	2	like	like	ADP
bjpt-78750	46	3	gzip	gzip	NOUN
bjpt-78750	46	4	and	and	CCONJ
bjpt-78750	46	5	curl	curl	NOUN
bjpt-78750	46	6	handle	handle	NOUN
bjpt-78750	46	7	data	datum	NOUN
bjpt-78750	46	8	compression	compression	NOUN
bjpt-78750	46	9	and	and	CCONJ
bjpt-78750	46	10	retrieval	retrieval	NOUN
bjpt-78750	46	11	,	,	PUNCT
bjpt-78750	46	12	facilitating	facilitate	VERB
bjpt-78750	46	13	efficient	efficient	ADJ
bjpt-78750	46	14	processing	processing	NOUN
bjpt-78750	46	15	of	of	ADP
bjpt-78750	46	16	large	large	ADJ
bjpt-78750	46	17	genomic	genomic	ADJ
bjpt-78750	46	18	datasets	dataset	NOUN
bjpt-78750	46	19	.	.	PUNCT
bjpt-78750	47	1	blastn	blastn	NOUN
bjpt-78750	47	2	performs	perform	VERB
bjpt-78750	47	3	nucleotide	nucleotide	ADJ
bjpt-78750	47	4	sequence	sequence	NOUN
bjpt-78750	47	5	similarity	similarity	NOUN
bjpt-78750	47	6	searches	search	NOUN
bjpt-78750	47	7	.	.	PUNCT
bjpt-78750	48	1	validated	validate	VERB
bjpt-78750	48	2	with	with	ADP
bjpt-78750	48	3	chenopodium	chenopodium	NOUN
bjpt-78750	48	4	pallidicaule	pallidicaule	NOUN
bjpt-78750	48	5	aellen	aellen	PROPN
bjpt-78750	48	6	(	(	PUNCT
bjpt-78750	48	7	srr4425239	srr4425239	NOUN
bjpt-78750	48	8	)	)	PUNCT
bjpt-78750	48	9	as	as	ADP
bjpt-78750	48	10	a	a	DET
bjpt-78750	48	11	test	test	NOUN
bjpt-78750	48	12	case	case	NOUN
bjpt-78750	48	13	,	,	PUNCT
bjpt-78750	48	14	game	game	NOUN
bjpt-78750	48	15	v1	v1	NOUN
bjpt-78750	48	16	integrates	integrate	VERB
bjpt-78750	48	17	these	these	DET
bjpt-78750	48	18	tools	tool	NOUN
bjpt-78750	48	19	into	into	ADP
bjpt-78750	48	20	a	a	DET
bjpt-78750	48	21	single	single	ADJ
bjpt-78750	48	22	pipeline	pipeline	NOUN
bjpt-78750	48	23	,	,	PUNCT
bjpt-78750	48	24	reducing	reduce	VERB
bjpt-78750	48	25	computational	computational	ADJ
bjpt-78750	48	26	barriers	barrier	NOUN
bjpt-78750	48	27	and	and	CCONJ
bjpt-78750	48	28	enabling	enable	VERB
bjpt-78750	48	29	assembly	assembly	NOUN
bjpt-78750	48	30	and	and	CCONJ
bjpt-78750	48	31	annotation	annotation	NOUN
bjpt-78750	48	32	of	of	ADP
bjpt-78750	48	33	plant	plant	NOUN
bjpt-78750	48	34	genomes	genome	NOUN
bjpt-78750	48	35	efficiently	efficiently	ADV
bjpt-78750	48	36	,	,	PUNCT
bjpt-78750	48	37	regardless	regardless	ADV
bjpt-78750	48	38	of	of	ADP
bjpt-78750	48	39	prior	prior	ADJ
bjpt-78750	48	40	bioinformatics	bioinformatics	NOUN
bjpt-78750	48	41	expertise	expertise	NOUN
bjpt-78750	48	42	.	.	PUNCT
bjpt-78750	49	1	the	the	DET
bjpt-78750	49	2	debian	debian	ADJ
bjpt-78750	49	3	package	package	NOUN
bjpt-78750	49	4	file	file	NOUN
bjpt-78750	49	5	of	of	ADP
bjpt-78750	49	6	the	the	DET
bjpt-78750	49	7	software	software	NOUN
bjpt-78750	49	8	can	can	AUX
bjpt-78750	49	9	be	be	AUX
bjpt-78750	49	10	download	download	NOUN
bjpt-78750	49	11	from	from	ADP
bjpt-78750	49	12	https://arraygen.com/game	https://arraygen.com/game	PROPN
bjpt-78750	49	13	,	,	PUNCT
bjpt-78750	49	14	and	and	CCONJ
bjpt-78750	49	15	extracted	extract	VERB
bjpt-78750	49	16	followed	follow	VERB
bjpt-78750	49	17	by	by	ADP
bjpt-78750	49	18	command	command	NOUN
bjpt-78750	49	19	“	"	PUNCT
bjpt-78750	49	20	sudo	sudo	VERB
bjpt-78750	49	21	dpkg	dpkg	NOUN
bjpt-78750	49	22	-i	-i	PUNCT
bjpt-78750	49	23	game.deb	game.deb	PROPN
bjpt-78750	49	24	”	"	PUNCT
bjpt-78750	49	25	in	in	ADP
bjpt-78750	49	26	a	a	DET
bjpt-78750	49	27	new	new	ADJ
bjpt-78750	49	28	terminal	terminal	NOUN
bjpt-78750	49	29	to	to	PART
bjpt-78750	49	30	install	install	VERB
bjpt-78750	49	31	.	.	PUNCT
bjpt-78750	50	1	the	the	DET
bjpt-78750	50	2	installation	installation	NOUN
bjpt-78750	50	3	time	time	NOUN
bjpt-78750	50	4	depends	depend	VERB
bjpt-78750	50	5	on	on	ADP
bjpt-78750	50	6	the	the	DET
bjpt-78750	50	7	speed	speed	NOUN
bjpt-78750	50	8	of	of	ADP
bjpt-78750	50	9	the	the	DET
bjpt-78750	50	10	internet	internet	NOUN
bjpt-78750	50	11	.	.	PUNCT
bjpt-78750	51	1	results	result	NOUN
bjpt-78750	51	2	and	and	CCONJ
bjpt-78750	51	3	discussion	discussion	VERB
bjpt-78750	51	4	the	the	DET
bjpt-78750	51	5	minimum	minimum	ADJ
bjpt-78750	51	6	system	system	NOUN
bjpt-78750	51	7	requirements	requirement	NOUN
bjpt-78750	51	8	for	for	ADP
bjpt-78750	51	9	running	run	VERB
bjpt-78750	51	10	game	game	NOUN
bjpt-78750	51	11	v1	v1	NOUN
bjpt-78750	51	12	include	include	VERB
bjpt-78750	51	13	ubuntu	ubuntu	PROPN
bjpt-78750	51	14	22.04.4	22.04.4	NUM
bjpt-78750	51	15	lts	lts	PROPN
bjpt-78750	51	16	operating	operating	NOUN
bjpt-78750	51	17	system	system	NOUN
bjpt-78750	51	18	(	(	PUNCT
bjpt-78750	51	19	64	64	NUM
bjpt-78750	51	20	-	-	PUNCT
bjpt-78750	51	21	bit	bit	NOUN
bjpt-78750	51	22	)	)	PUNCT
bjpt-78750	51	23	,	,	PUNCT
bjpt-78750	51	24	16	16	NUM
bjpt-78750	51	25	gb	gb	NOUN
bjpt-78750	51	26	of	of	ADP
bjpt-78750	51	27	ram	ram	NOUN
bjpt-78750	51	28	,	,	PUNCT
bjpt-78750	51	29	a	a	DET
bjpt-78750	51	30	processor	processor	NOUN
bjpt-78750	51	31	with	with	ADP
bjpt-78750	51	32	at	at	ADV
bjpt-78750	51	33	least	least	ADV
bjpt-78750	51	34	4	4	NUM
bjpt-78750	51	35	cores	core	NOUN
bjpt-78750	51	36	,	,	PUNCT
bjpt-78750	51	37	and	and	CCONJ
bjpt-78750	51	38	a	a	DET
bjpt-78750	51	39	minimum	minimum	NOUN
bjpt-78750	51	40	of	of	ADP
bjpt-78750	51	41	2.0	2.0	NUM
bjpt-78750	51	42	tb	tb	ADP
bjpt-78750	51	43	hard	hard	ADJ
bjpt-78750	51	44	disk	disk	NOUN
bjpt-78750	51	45	space	space	NOUN
bjpt-78750	51	46	.	.	PUNCT
bjpt-78750	52	1	however	however	ADV
bjpt-78750	52	2	,	,	PUNCT
bjpt-78750	52	3	these	these	DET
bjpt-78750	52	4	requirements	requirement	NOUN
bjpt-78750	52	5	may	may	AUX
bjpt-78750	52	6	increase	increase	VERB
bjpt-78750	52	7	based	base	VERB
bjpt-78750	52	8	on	on	ADP
bjpt-78750	52	9	the	the	DET
bjpt-78750	52	10	size	size	NOUN
bjpt-78750	52	11	of	of	ADP
bjpt-78750	52	12	the	the	DET
bjpt-78750	52	13	raw	raw	ADJ
bjpt-78750	52	14	data	datum	NOUN
bjpt-78750	52	15	being	be	AUX
bjpt-78750	52	16	processed	process	VERB
bjpt-78750	52	17	.	.	PUNCT
bjpt-78750	53	1	larger	large	ADJ
bjpt-78750	53	2	datasets	dataset	NOUN
bjpt-78750	53	3	(	(	PUNCT
bjpt-78750	53	4	raw	raw	ADJ
bjpt-78750	53	5	data	data	NOUN
bjpt-78750	53	6	)	)	PUNCT
bjpt-78750	53	7	demand	demand	VERB
bjpt-78750	53	8	additional	additional	ADJ
bjpt-78750	53	9	ram	ram	NOUN
bjpt-78750	53	10	and	and	CCONJ
bjpt-78750	53	11	disk	disk	NOUN
bjpt-78750	53	12	space	space	NOUN
bjpt-78750	53	13	to	to	PART
bjpt-78750	53	14	ensure	ensure	VERB
bjpt-78750	53	15	optimal	optimal	ADJ
bjpt-78750	53	16	execution	execution	NOUN
bjpt-78750	53	17	by	by	ADP
bjpt-78750	53	18	game	game	NOUN
bjpt-78750	53	19	v1	v1	NOUN
bjpt-78750	53	20	.	.	PUNCT
bjpt-78750	54	1	installation	installation	NOUN
bjpt-78750	54	2	and	and	CCONJ
bjpt-78750	54	3	testing	testing	NOUN
bjpt-78750	54	4	were	be	AUX
bjpt-78750	54	5	conducted	conduct	VERB
bjpt-78750	54	6	on	on	ADP
bjpt-78750	54	7	a	a	DET
bjpt-78750	54	8	lenovo	lenovo	PROPN
bjpt-78750	54	9	thinkstation	thinkstation	PROPN
bjpt-78750	54	10	c30	c30	PROPN
bjpt-78750	54	11	equipped	equip	VERB
bjpt-78750	54	12	with	with	ADP
bjpt-78750	54	13	an	an	DET
bjpt-78750	54	14	intel	intel	PROPN
bjpt-78750	54	15	®	®	NOUN
bjpt-78750	54	16	xeon	xeon	PROPN
bjpt-78750	54	17	®	®	PROPN
bjpt-78750	54	18	e5	e5	PROPN
bjpt-78750	54	19	-	-	PUNCT
bjpt-78750	54	20	2620	2620	NUM
bjpt-78750	54	21	cpu	cpu	NOUN
bjpt-78750	54	22	@	@	ADP
bjpt-78750	54	23	2.00	2.00	NUM
bjpt-78750	54	24	ghz	ghz	NOUN
bjpt-78750	54	25	(	(	PUNCT
bjpt-78750	54	26	12	12	NUM
bjpt-78750	54	27	cores	core	NOUN
bjpt-78750	54	28	)	)	PUNCT
bjpt-78750	54	29	,	,	PUNCT
bjpt-78750	54	30	128	128	NUM
bjpt-78750	54	31	gb	gb	NOUN
bjpt-78750	54	32	of	of	ADP
bjpt-78750	54	33	ram	ram	NOUN
bjpt-78750	54	34	,	,	PUNCT
bjpt-78750	54	35	an	an	DET
bjpt-78750	54	36	8.0	8.0	NUM
bjpt-78750	54	37	tb	tb	ADP
bjpt-78750	54	38	disk	disk	NOUN
bjpt-78750	54	39	,	,	PUNCT
bjpt-78750	54	40	and	and	CCONJ
bjpt-78750	54	41	nv106	nv106	NOUN
bjpt-78750	54	42	graphics	graphic	NOUN
bjpt-78750	54	43	,	,	PUNCT
bjpt-78750	54	44	running	run	VERB
bjpt-78750	54	45	ubuntu	ubuntu	ADJ
bjpt-78750	54	46	22.04.4	22.04.4	NUM
bjpt-78750	54	47	lts	lts	NOUN
bjpt-78750	54	48	(	(	PUNCT
bjpt-78750	54	49	gnome	gnome	VERB
bjpt-78750	54	50	version	version	NOUN
bjpt-78750	54	51	42.9	42.9	NUM
bjpt-78750	54	52	)	)	PUNCT
bjpt-78750	54	53	with	with	ADP
bjpt-78750	54	54	the	the	DET
bjpt-78750	54	55	wayland	wayland	PROPN
bjpt-78750	54	56	windowing	windowing	NOUN
bjpt-78750	54	57	system	system	NOUN
bjpt-78750	54	58	.	.	PUNCT
bjpt-78750	55	1	under	under	ADP
bjpt-78750	55	2	these	these	DET
bjpt-78750	55	3	conditions	condition	NOUN
bjpt-78750	55	4	,	,	PUNCT
bjpt-78750	55	5	installation	installation	NOUN
bjpt-78750	55	6	of	of	ADP
bjpt-78750	55	7	the	the	DET
bjpt-78750	55	8	software	software	NOUN
bjpt-78750	55	9	and	and	CCONJ
bjpt-78750	55	10	all	all	DET
bjpt-78750	55	11	dependencies	dependency	NOUN
bjpt-78750	55	12	over	over	ADP
bjpt-78750	55	13	a	a	DET
bjpt-78750	55	14	100	100	NUM
bjpt-78750	55	15	mbps	mbps	NOUN
bjpt-78750	55	16	internet	internet	NOUN
bjpt-78750	55	17	connection	connection	NOUN
bjpt-78750	55	18	required	require	VERB
bjpt-78750	55	19	approximately	approximately	ADV
bjpt-78750	55	20	two	two	NUM
bjpt-78750	55	21	hours	hour	NOUN
bjpt-78750	55	22	.	.	PUNCT
bjpt-78750	56	1	the	the	DET
bjpt-78750	56	2	successful	successful	ADJ
bjpt-78750	56	3	operation	operation	NOUN
bjpt-78750	56	4	of	of	ADP
bjpt-78750	56	5	game	game	NOUN
bjpt-78750	56	6	v1	v1	NOUN
bjpt-78750	56	7	is	be	AUX
bjpt-78750	56	8	contingent	contingent	ADJ
bjpt-78750	56	9	upon	upon	SCONJ
bjpt-78750	56	10	the	the	DET
bjpt-78750	56	11	proper	proper	ADJ
bjpt-78750	56	12	installation	installation	NOUN
bjpt-78750	56	13	of	of	ADP
bjpt-78750	56	14	all	all	DET
bjpt-78750	56	15	dependent	dependent	ADJ
bjpt-78750	56	16	tools	tool	NOUN
bjpt-78750	56	17	,	,	PUNCT
bjpt-78750	56	18	including	include	VERB
bjpt-78750	56	19	those	those	PRON
bjpt-78750	56	20	necessary	necessary	ADJ
bjpt-78750	56	21	for	for	ADP
bjpt-78750	56	22	genome	genome	NOUN
bjpt-78750	56	23	assembly	assembly	NOUN
bjpt-78750	56	24	,	,	PUNCT
bjpt-78750	56	25	annotation	annotation	NOUN
bjpt-78750	56	26	,	,	PUNCT
bjpt-78750	56	27	and	and	CCONJ
bjpt-78750	56	28	downstream	downstream	ADJ
bjpt-78750	56	29	analyses	analysis	NOUN
bjpt-78750	56	30	.	.	PUNCT
bjpt-78750	57	1	once	once	SCONJ
bjpt-78750	57	2	installation	installation	NOUN
bjpt-78750	57	3	is	be	AUX
bjpt-78750	57	4	complete	complete	ADJ
bjpt-78750	57	5	,	,	PUNCT
bjpt-78750	57	6	users	user	NOUN
bjpt-78750	57	7	can	can	AUX
bjpt-78750	57	8	launch	launch	VERB
bjpt-78750	57	9	game	game	NOUN
bjpt-78750	57	10	v1	v1	NOUN
bjpt-78750	57	11	by	by	ADP
bjpt-78750	57	12	specifying	specify	VERB
bjpt-78750	57	13	the	the	DET
bjpt-78750	57	14	project	project	NOUN
bjpt-78750	57	15	path	path	NOUN
bjpt-78750	57	16	and	and	CCONJ
bjpt-78750	57	17	entering	enter	VERB
bjpt-78750	57	18	the	the	DET
bjpt-78750	57	19	desired	desire	VERB
bjpt-78750	57	20	project	project	NOUN
bjpt-78750	57	21	name	name	NOUN
bjpt-78750	57	22	in	in	ADP
bjpt-78750	57	23	the	the	DET
bjpt-78750	57	24	intuitive	intuitive	ADJ
bjpt-78750	57	25	welcome	welcome	ADJ
bjpt-78750	57	26	interface	interface	NOUN
bjpt-78750	57	27	(	(	PUNCT
bjpt-78750	57	28	fig	fig	NOUN
bjpt-78750	57	29	.	.	PUNCT
bjpt-78750	58	1	1a	1a	NOUN
bjpt-78750	58	2	)	)	PUNCT
bjpt-78750	58	3	.	.	PUNCT
bjpt-78750	59	1	this	this	DET
bjpt-78750	59	2	streamlined	streamlined	ADJ
bjpt-78750	59	3	setup	setup	NOUN
bjpt-78750	59	4	ensures	ensure	VERB
bjpt-78750	59	5	a	a	DET
bjpt-78750	59	6	seamless	seamless	ADJ
bjpt-78750	59	7	start	start	NOUN
bjpt-78750	59	8	to	to	PART
bjpt-78750	59	9	genome	genome	NOUN
bjpt-78750	59	10	analysis	analysis	NOUN
bjpt-78750	59	11	workflows	workflow	NOUN
bjpt-78750	59	12	,	,	PUNCT
bjpt-78750	59	13	and	and	CCONJ
bjpt-78750	59	14	generates	generate	VERB
bjpt-78750	59	15	detailed	detailed	ADJ
bjpt-78750	59	16	quality	quality	NOUN
bjpt-78750	59	17	reports	report	NOUN
bjpt-78750	59	18	of	of	ADP
bjpt-78750	59	19	the	the	DET
bjpt-78750	59	20	raw	raw	ADJ
bjpt-78750	59	21	reads	read	NOUN
bjpt-78750	59	22	,	,	PUNCT
bjpt-78750	59	23	genomescope	genomescope	NOUN
bjpt-78750	59	24	heterozygosity	heterozygosity	NOUN
bjpt-78750	59	25	report	report	NOUN
bjpt-78750	59	26	,	,	PUNCT
bjpt-78750	59	27	quast	quast	NOUN
bjpt-78750	59	28	contigs	contig	NOUN
bjpt-78750	59	29	and	and	CCONJ
bjpt-78750	59	30	scaffolds	scaffold	VERB
bjpt-78750	59	31	results	result	NOUN
bjpt-78750	59	32	,	,	PUNCT
bjpt-78750	59	33	busco	busco	PROPN
bjpt-78750	59	34	summary	summary	PROPN
bjpt-78750	59	35	plot	plot	NOUN
bjpt-78750	59	36	,	,	PUNCT
bjpt-78750	59	37	cog	cog	PROPN
bjpt-78750	59	38	functional	functional	ADJ
bjpt-78750	59	39	annotation	annotation	NOUN
bjpt-78750	59	40	chart	chart	PROPN
bjpt-78750	59	41	,	,	PUNCT
bjpt-78750	59	42	go	go	VERB
bjpt-78750	59	43	chart	chart	NOUN
bjpt-78750	59	44	,	,	PUNCT
bjpt-78750	59	45	ncbi	ncbi	PROPN
bjpt-78750	59	46	and	and	CCONJ
bjpt-78750	59	47	uniprot	uniprot	ADJ
bjpt-78750	59	48	annotations	annotation	NOUN
bjpt-78750	59	49	,	,	PUNCT
bjpt-78750	59	50	kegg	kegg	NOUN
bjpt-78750	59	51	pathway	pathway	NOUN
bjpt-78750	59	52	distribution	distribution	NOUN
bjpt-78750	59	53	graph	graph	NOUN
bjpt-78750	59	54	,	,	PUNCT
bjpt-78750	59	55	and	and	CCONJ
bjpt-78750	59	56	repeatmasker	repeatmasker	PROPN
bjpt-78750	59	57	plots	plot	NOUN
bjpt-78750	59	58	.	.	PUNCT
bjpt-78750	60	1	a	a	DET
bjpt-78750	60	2	total	total	NOUN
bjpt-78750	60	3	of	of	ADP
bjpt-78750	60	4	46.1	46.1	NUM
bjpt-78750	60	5	gb	gb	NOUN
bjpt-78750	60	6	of	of	ADP
bjpt-78750	60	7	paired	pair	VERB
bjpt-78750	60	8	-	-	PUNCT
bjpt-78750	60	9	end	end	NOUN
bjpt-78750	60	10	short	short	ADJ
bjpt-78750	60	11	-	-	PUNCT
bjpt-78750	60	12	read	read	NOUN
bjpt-78750	60	13	data	datum	NOUN
bjpt-78750	60	14	(	(	PUNCT
bjpt-78750	60	15	c.	c.	PROPN
bjpt-78750	60	16	pallidicaule	pallidicaule	PROPN
bjpt-78750	60	17	,	,	PUNCT
bjpt-78750	60	18	srr4425239	srr4425239	NOUN
bjpt-78750	60	19	)	)	PUNCT
bjpt-78750	60	20	was	be	AUX
bjpt-78750	60	21	retrieved	retrieve	VERB
bjpt-78750	60	22	from	from	ADP
bjpt-78750	60	23	the	the	DET
bjpt-78750	60	24	ncbi	ncbi	PROPN
bjpt-78750	60	25	sra	sra	PROPN
bjpt-78750	60	26	database	database	PROPN
bjpt-78750	60	27	.	.	PUNCT
bjpt-78750	61	1	the	the	DET
bjpt-78750	61	2	fastq	fastq	ADJ
bjpt-78750	61	3	files	file	NOUN
bjpt-78750	61	4	,	,	PUNCT
bjpt-78750	61	5	containing	contain	VERB
bjpt-78750	61	6	forward	forward	ADV
bjpt-78750	61	7	and	and	CCONJ
bjpt-78750	61	8	reverse	reverse	ADJ
bjpt-78750	61	9	reads	read	NOUN
bjpt-78750	61	10	,	,	PUNCT
bjpt-78750	61	11	were	be	AUX
bjpt-78750	61	12	seamlessly	seamlessly	ADV
bjpt-78750	61	13	uploaded	upload	VERB
bjpt-78750	61	14	into	into	ADP
bjpt-78750	61	15	game	game	NOUN
bjpt-78750	61	16	v1	v1	NOUN
bjpt-78750	61	17	using	use	VERB
bjpt-78750	61	18	the	the	DET
bjpt-78750	61	19	software	software	NOUN
bjpt-78750	61	20	's	's	PART
bjpt-78750	61	21	"	"	PUNCT
bjpt-78750	61	22	browse	browse	NOUN
bjpt-78750	61	23	"	"	PUNCT
bjpt-78750	61	24	option	option	NOUN
bjpt-78750	61	25	,	,	PUNCT
bjpt-78750	61	26	enabling	enable	VERB
bjpt-78750	61	27	efficient	efficient	ADJ
bjpt-78750	61	28	integration	integration	NOUN
bjpt-78750	61	29	into	into	ADP
bjpt-78750	61	30	the	the	DET
bjpt-78750	61	31	genome	genome	NOUN
bjpt-78750	61	32	assembly	assembly	NOUN
bjpt-78750	61	33	workflow	workflow	NOUN
bjpt-78750	61	34	(	(	PUNCT
bjpt-78750	61	35	fig	fig	NOUN
bjpt-78750	61	36	.	.	PUNCT
bjpt-78750	61	37	1b	1b	NUM
bjpt-78750	61	38	)	)	PUNCT
bjpt-78750	61	39	,	,	PUNCT
bjpt-78750	61	40	and	and	CCONJ
bjpt-78750	61	41	it	it	PRON
bjpt-78750	61	42	was	be	AUX
bjpt-78750	61	43	executed	execute	VERB
bjpt-78750	61	44	with	with	ADP
bjpt-78750	61	45	the	the	DET
bjpt-78750	61	46	tool	tool	NOUN
bjpt-78750	61	47	setting	setting	NOUN
bjpt-78750	61	48	(	(	PUNCT
bjpt-78750	61	49	fig	fig	NOUN
bjpt-78750	61	50	.	.	PUNCT
bjpt-78750	62	1	1c	1c	NOUN
bjpt-78750	62	2	)	)	PUNCT
bjpt-78750	62	3	.	.	PUNCT
bjpt-78750	63	1	under	under	ADP
bjpt-78750	63	2	the	the	DET
bjpt-78750	63	3	tools	tool	NOUN
bjpt-78750	63	4	setting	set	VERB
bjpt-78750	63	5	,	,	PUNCT
bjpt-78750	63	6	the	the	DET
bjpt-78750	63	7	number	number	NOUN
bjpt-78750	63	8	of	of	ADP
bjpt-78750	63	9	threads	thread	NOUN
bjpt-78750	63	10	were	be	AUX
bjpt-78750	63	11	provided	provide	VERB
bjpt-78750	63	12	according	accord	VERB
bjpt-78750	63	13	to	to	ADP
bjpt-78750	63	14	10	10	NUM
bjpt-78750	63	15	available	available	ADJ
bjpt-78750	63	16	threads	thread	NOUN
bjpt-78750	63	17	in	in	ADP
bjpt-78750	63	18	the	the	DET
bjpt-78750	63	19	cpu	cpu	NOUN
bjpt-78750	63	20	(	(	PUNCT
bjpt-78750	63	21	fig	fig	NOUN
bjpt-78750	63	22	.	.	PUNCT
bjpt-78750	64	1	1c	1c	NOUN
bjpt-78750	64	2	)	)	PUNCT
bjpt-78750	64	3	.	.	PUNCT
bjpt-78750	65	1	on	on	ADP
bjpt-78750	65	2	execution	execution	NOUN
bjpt-78750	65	3	,	,	PUNCT
bjpt-78750	65	4	the	the	DET
bjpt-78750	65	5	software	software	NOUN
bjpt-78750	65	6	first	first	ADV
bjpt-78750	65	7	checked	check	VERB
bjpt-78750	65	8	the	the	DET
bjpt-78750	65	9	installation	installation	NOUN
bjpt-78750	65	10	of	of	ADP
bjpt-78750	65	11	the	the	DET
bjpt-78750	65	12	dependent	dependent	ADJ
bjpt-78750	65	13	tools	tool	NOUN
bjpt-78750	65	14	.	.	PUNCT
bjpt-78750	66	1	the	the	DET
bjpt-78750	66	2	successful	successful	ADJ
bjpt-78750	66	3	execution	execution	NOUN
bjpt-78750	66	4	competed	compete	VERB
bjpt-78750	66	5	in	in	ADP
bjpt-78750	66	6	17	17	NUM
bjpt-78750	66	7	hours	hour	NOUN
bjpt-78750	66	8	,	,	PUNCT
bjpt-78750	66	9	and	and	CCONJ
bjpt-78750	66	10	generated	generate	VERB
bjpt-78750	66	11	all	all	DET
bjpt-78750	66	12	the	the	DET
bjpt-78750	66	13	results	result	NOUN
bjpt-78750	66	14	in	in	ADP
bjpt-78750	66	15	various	various	ADJ
bjpt-78750	66	16	html	html	NOUN
bjpt-78750	66	17	,	,	PUNCT
bjpt-78750	66	18	pdf	pdf	NOUN
bjpt-78750	66	19	and	and	CCONJ
bjpt-78750	66	20	excel	excel	VERB
bjpt-78750	66	21	files	file	NOUN
bjpt-78750	66	22	.	.	PUNCT
bjpt-78750	67	1	the	the	DET
bjpt-78750	67	2	results	result	NOUN
bjpt-78750	67	3	of	of	ADP
bjpt-78750	67	4	quality	quality	NOUN
bjpt-78750	67	5	control	control	NOUN
bjpt-78750	67	6	analysis	analysis	NOUN
bjpt-78750	67	7	are	be	AUX
bjpt-78750	67	8	shown	show	VERB
bjpt-78750	67	9	in	in	ADP
bjpt-78750	67	10	table	table	NOUN
bjpt-78750	67	11	1	1	NUM
bjpt-78750	67	12	.	.	PUNCT
bjpt-78750	67	13	before	before	ADP
bjpt-78750	67	14	filtering	filter	VERB
bjpt-78750	67	15	,	,	PUNCT
bjpt-78750	67	16	the	the	DET
bjpt-78750	67	17	dataset	dataset	NOUN
bjpt-78750	67	18	comprised	comprise	VERB
bjpt-78750	67	19	389.56	389.56	NUM
bjpt-78750	67	20	million	million	NUM
bjpt-78750	67	21	reads	read	NOUN
bjpt-78750	67	22	totaling	total	VERB
bjpt-78750	67	23	38.96	38.96	NUM
bjpt-78750	67	24	billion	billion	NUM
bjpt-78750	67	25	bases	basis	NOUN
bjpt-78750	67	26	,	,	PUNCT
bjpt-78750	67	27	with	with	ADP
bjpt-78750	67	28	96.86	96.86	NUM
bjpt-78750	67	29	%	%	NOUN
bjpt-78750	67	30	of	of	ADP
bjpt-78750	67	31	bases	basis	NOUN
bjpt-78750	67	32	having	have	VERB
bjpt-78750	67	33	a	a	DET
bjpt-78750	67	34	quality	quality	NOUN
bjpt-78750	67	35	score	score	NOUN
bjpt-78750	67	36	of	of	ADP
bjpt-78750	67	37	q20	q20	NOUN
bjpt-78750	67	38	or	or	CCONJ
bjpt-78750	67	39	higher	high	ADJ
bjpt-78750	67	40	and	and	CCONJ
bjpt-78750	67	41	90.72	90.72	NUM
bjpt-78750	67	42	%	%	NOUN
bjpt-78750	67	43	achieving	achieve	VERB
bjpt-78750	67	44	q30	q30	NOUN
bjpt-78750	67	45	or	or	CCONJ
bjpt-78750	67	46	higher	high	ADJ
bjpt-78750	67	47	.	.	PUNCT
bjpt-78750	68	1	https://arraygen.com/game	https://arraygen.com/game	PROPN
bjpt-78750	68	2	,	,	PUNCT
bjpt-78750	68	3	228	228	NUM
bjpt-78750	68	4	ali	ali	PROPN
bjpt-78750	68	5	et	et	PROPN
bjpt-78750	68	6	al	al	PROPN
bjpt-78750	68	7	.	.	PUNCT
bjpt-78750	69	1	the	the	DET
bjpt-78750	69	2	gc	gc	PROPN
bjpt-78750	69	3	content	content	NOUN
bjpt-78750	69	4	of	of	ADP
bjpt-78750	69	5	the	the	DET
bjpt-78750	69	6	raw	raw	ADJ
bjpt-78750	69	7	data	datum	NOUN
bjpt-78750	69	8	was	be	AUX
bjpt-78750	69	9	38.53	38.53	NUM
bjpt-78750	69	10	%	%	NOUN
bjpt-78750	69	11	.	.	PUNCT
bjpt-78750	70	1	after	after	ADP
bjpt-78750	70	2	filtering	filter	VERB
bjpt-78750	70	3	,	,	PUNCT
bjpt-78750	70	4	the	the	DET
bjpt-78750	70	5	dataset	dataset	NOUN
bjpt-78750	70	6	was	be	AUX
bjpt-78750	70	7	reduced	reduce	VERB
bjpt-78750	70	8	to	to	ADP
bjpt-78750	70	9	350.65	350.65	NUM
bjpt-78750	70	10	million	million	NUM
bjpt-78750	70	11	reads	read	NOUN
bjpt-78750	70	12	with	with	ADP
bjpt-78750	70	13	35.03	35.03	NUM
bjpt-78750	70	14	billion	billion	NUM
bjpt-78750	70	15	bases	basis	NOUN
bjpt-78750	70	16	,	,	PUNCT
bjpt-78750	70	17	indicating	indicate	VERB
bjpt-78750	70	18	the	the	DET
bjpt-78750	70	19	removal	removal	NOUN
bjpt-78750	70	20	of	of	ADP
bjpt-78750	70	21	low	low	ADJ
bjpt-78750	70	22	-	-	PUNCT
bjpt-78750	70	23	quality	quality	NOUN
bjpt-78750	70	24	reads	read	NOUN
bjpt-78750	70	25	and	and	CCONJ
bjpt-78750	70	26	adapters	adapter	NOUN
bjpt-78750	70	27	.	.	PUNCT
bjpt-78750	71	1	the	the	DET
bjpt-78750	71	2	proportion	proportion	NOUN
bjpt-78750	71	3	of	of	ADP
bjpt-78750	71	4	q20	q20	NOUN
bjpt-78750	71	5	bases	basis	NOUN
bjpt-78750	71	6	increased	increase	VERB
bjpt-78750	71	7	to	to	ADP
bjpt-78750	71	8	98.82	98.82	NUM
bjpt-78750	71	9	%	%	NOUN
bjpt-78750	71	10	,	,	PUNCT
bjpt-78750	71	11	while	while	SCONJ
bjpt-78750	71	12	q30	q30	PROPN
bjpt-78750	71	13	bases	basis	NOUN
bjpt-78750	71	14	rose	rise	VERB
bjpt-78750	71	15	to	to	ADP
bjpt-78750	71	16	94.55	94.55	NUM
bjpt-78750	71	17	%	%	NOUN
bjpt-78750	71	18	,	,	PUNCT
bjpt-78750	71	19	reflecting	reflect	VERB
bjpt-78750	71	20	a	a	DET
bjpt-78750	71	21	significant	significant	ADJ
bjpt-78750	71	22	improvement	improvement	NOUN
bjpt-78750	71	23	in	in	ADP
bjpt-78750	71	24	overall	overall	ADJ
bjpt-78750	71	25	sequence	sequence	NOUN
bjpt-78750	71	26	quality	quality	NOUN
bjpt-78750	71	27	.	.	PUNCT
bjpt-78750	72	1	the	the	DET
bjpt-78750	72	2	gc	gc	PROPN
bjpt-78750	72	3	content	content	PROPN
bjpt-78750	72	4	post	post	PROPN
bjpt-78750	72	5	-	-	ADJ
bjpt-78750	72	6	filtering	filtering	ADJ
bjpt-78750	72	7	was	be	AUX
bjpt-78750	72	8	slightly	slightly	ADV
bjpt-78750	72	9	reduced	reduce	VERB
bjpt-78750	72	10	to	to	ADP
bjpt-78750	72	11	38.21	38.21	NUM
bjpt-78750	72	12	%	%	NOUN
bjpt-78750	72	13	,	,	PUNCT
bjpt-78750	72	14	indicating	indicate	VERB
bjpt-78750	72	15	the	the	DET
bjpt-78750	72	16	maintenance	maintenance	NOUN
bjpt-78750	72	17	of	of	ADP
bjpt-78750	72	18	sequence	sequence	NOUN
bjpt-78750	72	19	composition	composition	NOUN
bjpt-78750	72	20	integrity	integrity	NOUN
bjpt-78750	72	21	.	.	PUNCT
bjpt-78750	73	1	fig	fig	NOUN
bjpt-78750	73	2	.	.	PUNCT
bjpt-78750	74	1	1	1	X
bjpt-78750	74	2	.	.	X
bjpt-78750	74	3	game	game	NOUN
bjpt-78750	74	4	v1	v1	PROPN
bjpt-78750	74	5	welcome	welcome	ADJ
bjpt-78750	74	6	interface	interface	NOUN
bjpt-78750	74	7	and	and	CCONJ
bjpt-78750	74	8	tools	tool	NOUN
bjpt-78750	74	9	setting	set	VERB
bjpt-78750	74	10	.	.	PUNCT
bjpt-78750	75	1	a.	a.	NOUN
bjpt-78750	75	2	interface	interface	NOUN
bjpt-78750	75	3	of	of	ADP
bjpt-78750	75	4	the	the	DET
bjpt-78750	75	5	game	game	NOUN
bjpt-78750	75	6	v1	v1	NOUN
bjpt-78750	75	7	.	.	PUNCT
bjpt-78750	76	1	b.	b.	PROPN
bjpt-78750	76	2	uploading	uploading	NOUN
bjpt-78750	76	3	of	of	ADP
bjpt-78750	76	4	the	the	DET
bjpt-78750	76	5	sequence	sequence	NOUN
bjpt-78750	76	6	data	datum	NOUN
bjpt-78750	76	7	.	.	PUNCT
bjpt-78750	77	1	c.	c.	NOUN
bjpt-78750	77	2	details	detail	NOUN
bjpt-78750	77	3	of	of	ADP
bjpt-78750	77	4	the	the	DET
bjpt-78750	77	5	tools	tool	NOUN
bjpt-78750	77	6	setting	set	VERB
bjpt-78750	77	7	.	.	PUNCT
bjpt-78750	78	1	a	a	DET
bjpt-78750	78	2	b	b	NOUN
bjpt-78750	78	3	c	c	NOUN
bjpt-78750	78	4	genomic	genomic	NOUN
bjpt-78750	78	5	analysis	analysis	NOUN
bjpt-78750	78	6	made	make	VERB
bjpt-78750	78	7	easy	easy	ADJ
bjpt-78750	78	8	(	(	PUNCT
bjpt-78750	78	9	game	game	NOUN
bjpt-78750	78	10	v1	v1	NOUN
bjpt-78750	78	11	):	):	PUNCT
bjpt-78750	78	12	an	an	DET
bjpt-78750	78	13	automated	automate	VERB
bjpt-78750	78	14	software	software	NOUN
bjpt-78750	78	15	229	229	NUM
bjpt-78750	78	16	these	these	DET
bjpt-78750	78	17	results	result	NOUN
bjpt-78750	78	18	demonstrate	demonstrate	VERB
bjpt-78750	78	19	the	the	DET
bjpt-78750	78	20	efficiency	efficiency	NOUN
bjpt-78750	78	21	of	of	ADP
bjpt-78750	78	22	fastp	fastp	NOUN
bjpt-78750	78	23	in	in	ADP
bjpt-78750	78	24	enhancing	enhance	VERB
bjpt-78750	78	25	data	datum	NOUN
bjpt-78750	78	26	quality	quality	NOUN
bjpt-78750	78	27	for	for	ADP
bjpt-78750	78	28	downstream	downstream	ADJ
bjpt-78750	78	29	genome	genome	NOUN
bjpt-78750	78	30	assembly	assembly	NOUN
bjpt-78750	78	31	and	and	CCONJ
bjpt-78750	78	32	analysis	analysis	NOUN
bjpt-78750	78	33	.	.	PUNCT
bjpt-78750	79	1	the	the	DET
bjpt-78750	79	2	filtering	filter	VERB
bjpt-78750	79	3	process	process	NOUN
bjpt-78750	79	4	retained	retain	VERB
bjpt-78750	79	5	350.65	350.65	NUM
bjpt-78750	79	6	million	million	NUM
bjpt-78750	79	7	reads	read	NOUN
bjpt-78750	79	8	,	,	PUNCT
bjpt-78750	79	9	accounting	account	VERB
bjpt-78750	79	10	for	for	ADP
bjpt-78750	79	11	90.01	90.01	NUM
bjpt-78750	79	12	%	%	NOUN
bjpt-78750	79	13	of	of	ADP
bjpt-78750	79	14	the	the	DET
bjpt-78750	79	15	total	total	ADJ
bjpt-78750	79	16	input	input	NOUN
bjpt-78750	79	17	reads	read	NOUN
bjpt-78750	79	18	,	,	PUNCT
bjpt-78750	79	19	ensuring	ensure	VERB
bjpt-78750	79	20	a	a	DET
bjpt-78750	79	21	high	high	ADJ
bjpt-78750	79	22	-	-	PUNCT
bjpt-78750	79	23	quality	quality	NOUN
bjpt-78750	79	24	dataset	dataset	NOUN
bjpt-78750	79	25	for	for	ADP
bjpt-78750	79	26	downstream	downstream	ADJ
bjpt-78750	79	27	analysis	analysis	NOUN
bjpt-78750	79	28	.	.	PUNCT
bjpt-78750	80	1	a	a	DET
bjpt-78750	80	2	total	total	NOUN
bjpt-78750	80	3	of	of	ADP
bjpt-78750	80	4	38.90	38.90	NUM
bjpt-78750	80	5	million	million	NUM
bjpt-78750	80	6	reads	read	NOUN
bjpt-78750	80	7	(	(	PUNCT
bjpt-78750	80	8	9.99	9.99	NUM
bjpt-78750	80	9	%	%	NOUN
bjpt-78750	80	10	)	)	PUNCT
bjpt-78750	80	11	were	be	AUX
bjpt-78750	80	12	removed	remove	VERB
bjpt-78750	80	13	due	due	ADP
bjpt-78750	80	14	to	to	ADP
bjpt-78750	80	15	low	low	ADJ
bjpt-78750	80	16	quality	quality	NOUN
bjpt-78750	80	17	,	,	PUNCT
bjpt-78750	80	18	while	while	SCONJ
bjpt-78750	80	19	9,220	9,220	NUM
bjpt-78750	80	20	reads	read	NOUN
bjpt-78750	80	21	(	(	PUNCT
bjpt-78750	80	22	0.0024	0.0024	NUM
bjpt-78750	80	23	%	%	NOUN
bjpt-78750	80	24	)	)	PUNCT
bjpt-78750	80	25	were	be	AUX
bjpt-78750	80	26	excluded	exclude	VERB
bjpt-78750	80	27	because	because	SCONJ
bjpt-78750	80	28	they	they	PRON
bjpt-78750	80	29	contained	contain	VERB
bjpt-78750	80	30	excessive	excessive	ADJ
bjpt-78750	80	31	ambiguous	ambiguous	ADJ
bjpt-78750	80	32	bases	basis	NOUN
bjpt-78750	80	33	(	(	PUNCT
bjpt-78750	80	34	ns	ns	ADJ
bjpt-78750	80	35	)	)	PUNCT
bjpt-78750	80	36	.	.	PUNCT
bjpt-78750	81	1	notably	notably	ADV
bjpt-78750	81	2	,	,	PUNCT
bjpt-78750	81	3	no	no	DET
bjpt-78750	81	4	reads	read	NOUN
bjpt-78750	81	5	were	be	AUX
bjpt-78750	81	6	discarded	discard	VERB
bjpt-78750	81	7	for	for	ADP
bjpt-78750	81	8	being	be	AUX
bjpt-78750	81	9	too	too	ADV
bjpt-78750	81	10	short	short	ADJ
bjpt-78750	81	11	,	,	PUNCT
bjpt-78750	81	12	reflecting	reflect	VERB
bjpt-78750	81	13	the	the	DET
bjpt-78750	81	14	robustness	robustness	NOUN
bjpt-78750	81	15	of	of	ADP
bjpt-78750	81	16	the	the	DET
bjpt-78750	81	17	dataset	dataset	NOUN
bjpt-78750	81	18	's	's	PART
bjpt-78750	81	19	original	original	ADJ
bjpt-78750	81	20	length	length	NOUN
bjpt-78750	81	21	distribution	distribution	NOUN
bjpt-78750	81	22	.	.	PUNCT
bjpt-78750	82	1	these	these	DET
bjpt-78750	82	2	results	result	NOUN
bjpt-78750	82	3	highlight	highlight	VERB
bjpt-78750	82	4	the	the	DET
bjpt-78750	82	5	effectiveness	effectiveness	NOUN
bjpt-78750	82	6	of	of	ADP
bjpt-78750	82	7	the	the	DET
bjpt-78750	82	8	filtering	filtering	NOUN
bjpt-78750	82	9	process	process	NOUN
bjpt-78750	82	10	in	in	ADP
bjpt-78750	82	11	maintaining	maintain	VERB
bjpt-78750	82	12	high	high	ADJ
bjpt-78750	82	13	-	-	PUNCT
bjpt-78750	82	14	quality	quality	NOUN
bjpt-78750	82	15	reads	read	NOUN
bjpt-78750	82	16	while	while	SCONJ
bjpt-78750	82	17	minimizing	minimize	VERB
bjpt-78750	82	18	data	datum	NOUN
bjpt-78750	82	19	loss	loss	NOUN
bjpt-78750	82	20	.	.	PUNCT
bjpt-78750	83	1	table	table	NOUN
bjpt-78750	83	2	1	1	NUM
bjpt-78750	83	3	.	.	PUNCT
bjpt-78750	84	1	quality	quality	NOUN
bjpt-78750	84	2	control	control	NOUN
bjpt-78750	84	3	analysis	analysis	NOUN
bjpt-78750	84	4	of	of	ADP
bjpt-78750	84	5	the	the	DET
bjpt-78750	84	6	paired	pair	VERB
bjpt-78750	84	7	-	-	PUNCT
bjpt-78750	84	8	end	end	NOUN
bjpt-78750	84	9	illumina	illumina	PROPN
bjpt-78750	84	10	reads	read	NOUN
bjpt-78750	84	11	generated	generate	VERB
bjpt-78750	84	12	by	by	ADP
bjpt-78750	84	13	fastp	fastp	ADJ
bjpt-78750	84	14	tool	tool	NOUN
bjpt-78750	84	15	prebuilt	prebuilt	VERB
bjpt-78750	84	16	in	in	ADP
bjpt-78750	84	17	game	game	NOUN
bjpt-78750	84	18	v1	v1	NOUN
bjpt-78750	84	19	.	.	PUNCT
bjpt-78750	85	1	qc	qc	PROPN
bjpt-78750	85	2	analysis	analysis	PROPN
bjpt-78750	85	3	fastp	fastp	PROPN
bjpt-78750	85	4	report	report	PROPN
bjpt-78750	85	5	summary	summary	NOUN
bjpt-78750	85	6	fastp	fastp	VERB
bjpt-78750	85	7	version	version	NOUN
bjpt-78750	85	8	0.20.1	0.20.1	PRON
bjpt-78750	85	9	(	(	PUNCT
bjpt-78750	85	10	https://github.com/opengene/fastp	https://github.com/opengene/fastp	ADJ
bjpt-78750	85	11	)	)	PUNCT
bjpt-78750	85	12	sequencing	sequence	VERB
bjpt-78750	85	13	paired	pair	VERB
bjpt-78750	85	14	end	end	NOUN
bjpt-78750	85	15	(	(	PUNCT
bjpt-78750	85	16	100	100	NUM
bjpt-78750	85	17	cycles	cycle	NOUN
bjpt-78750	85	18	+	+	CCONJ
bjpt-78750	85	19	100	100	NUM
bjpt-78750	85	20	cycles	cycle	NOUN
bjpt-78750	85	21	)	)	PUNCT
bjpt-78750	86	1	mean	mean	VERB
bjpt-78750	86	2	length	length	NOUN
bjpt-78750	86	3	before	before	ADP
bjpt-78750	86	4	filtering	filter	VERB
bjpt-78750	86	5	99bp	99bp	NOUN
bjpt-78750	86	6	,	,	PUNCT
bjpt-78750	86	7	99bp	99bp	NOUN
bjpt-78750	86	8	mean	mean	NOUN
bjpt-78750	86	9	length	length	NOUN
bjpt-78750	86	10	after	after	ADP
bjpt-78750	86	11	filtering	filter	VERB
bjpt-78750	86	12	99bp	99bp	NUM
bjpt-78750	86	13	,	,	PUNCT
bjpt-78750	86	14	99bp	99bp	ADJ
bjpt-78750	86	15	duplication	duplication	NOUN
bjpt-78750	86	16	rate	rate	NOUN
bjpt-78750	86	17	3.636400	3.636400	NUM
bjpt-78750	86	18	%	%	NOUN
bjpt-78750	86	19	insert	insert	NOUN
bjpt-78750	86	20	size	size	NOUN
bjpt-78750	86	21	peak	peak	NOUN
bjpt-78750	86	22	169	169	NUM
bjpt-78750	86	23	before	before	SCONJ
bjpt-78750	86	24	filtering	filter	VERB
bjpt-78750	86	25	total	total	NOUN
bjpt-78750	86	26	reads	read	VERB
bjpt-78750	86	27	389.563646	389.563646	NUM
bjpt-78750	86	28	m	m	NOUN
bjpt-78750	86	29	total	total	ADJ
bjpt-78750	86	30	bases	basis	NOUN
bjpt-78750	86	31	38.955270	38.955270	NUM
bjpt-78750	86	32	g	g	PROPN
bjpt-78750	86	33	q20	q20	NOUN
bjpt-78750	86	34	bases	base	VERB
bjpt-78750	86	35	37.732166	37.732166	NUM
bjpt-78750	86	36	g	g	NOUN
bjpt-78750	86	37	(	(	PUNCT
bjpt-78750	86	38	96.860233	96.860233	NUM
bjpt-78750	86	39	%	%	NOUN
bjpt-78750	86	40	)	)	PUNCT
bjpt-78750	86	41	q30	q30	PROPN
bjpt-78750	86	42	bases	basis	NOUN
bjpt-78750	86	43	35.338756	35.338756	NUM
bjpt-78750	86	44	g	g	NOUN
bjpt-78750	86	45	(	(	PUNCT
bjpt-78750	86	46	90.716238	90.716238	NUM
bjpt-78750	86	47	%	%	NOUN
bjpt-78750	86	48	)	)	PUNCT
bjpt-78750	86	49	gc	gc	PROPN
bjpt-78750	86	50	content	content	NOUN
bjpt-78750	86	51	38.531857	38.531857	NUM
bjpt-78750	86	52	%	%	NOUN
bjpt-78750	86	53	after	after	ADP
bjpt-78750	86	54	filtering	filter	VERB
bjpt-78750	86	55	total	total	ADJ
bjpt-78750	86	56	reads	read	NOUN
bjpt-78750	86	57	350.650934	350.650934	NUM
bjpt-78750	86	58	m	m	NOUN
bjpt-78750	86	59	total	total	ADJ
bjpt-78750	86	60	bases	basis	NOUN
bjpt-78750	86	61	35.031077	35.031077	NUM
bjpt-78750	86	62	g	g	PROPN
bjpt-78750	86	63	q20	q20	PROPN
bjpt-78750	86	64	bases	basis	NOUN
bjpt-78750	86	65	34.616826	34.616826	NUM
bjpt-78750	86	66	g	g	NOUN
bjpt-78750	86	67	(	(	PUNCT
bjpt-78750	86	68	98.817475	98.817475	NUM
bjpt-78750	86	69	%	%	NOUN
bjpt-78750	86	70	)	)	PUNCT
bjpt-78750	86	71	q30	q30	PROPN
bjpt-78750	86	72	bases	basis	NOUN
bjpt-78750	86	73	33.120725	33.120725	NUM
bjpt-78750	86	74	g	g	NOUN
bjpt-78750	86	75	(	(	PUNCT
bjpt-78750	86	76	94.546695	94.546695	NUM
bjpt-78750	86	77	%	%	NOUN
bjpt-78750	86	78	)	)	PUNCT
bjpt-78750	86	79	gc	gc	PROPN
bjpt-78750	86	80	content	content	NOUN
bjpt-78750	86	81	38.210978	38.210978	NUM
bjpt-78750	86	82	%	%	NOUN
bjpt-78750	86	83	filtering	filtering	NOUN
bjpt-78750	86	84	result	result	NOUN
bjpt-78750	86	85	reads	read	NOUN
bjpt-78750	86	86	passed	pass	VERB
bjpt-78750	86	87	filters	filter	NOUN
bjpt-78750	86	88	350.650934	350.650934	NUM
bjpt-78750	86	89	m	m	NOUN
bjpt-78750	86	90	(	(	PUNCT
bjpt-78750	86	91	90.011206	90.011206	NUM
bjpt-78750	86	92	%	%	NOUN
bjpt-78750	86	93	)	)	PUNCT
bjpt-78750	86	94	reads	read	VERB
bjpt-78750	86	95	with	with	ADP
bjpt-78750	86	96	low	low	ADJ
bjpt-78750	86	97	quality	quality	NOUN
bjpt-78750	86	98	38.903492	38.903492	NUM
bjpt-78750	86	99	m	m	NOUN
bjpt-78750	86	100	(	(	PUNCT
bjpt-78750	86	101	9.986428	9.986428	NUM
bjpt-78750	86	102	%	%	NOUN
bjpt-78750	86	103	)	)	PUNCT
bjpt-78750	86	104	reads	read	VERB
bjpt-78750	86	105	with	with	ADP
bjpt-78750	86	106	too	too	ADV
bjpt-78750	86	107	many	many	ADJ
bjpt-78750	86	108	n	n	NUM
bjpt-78750	86	109	9.220000	9.220000	NUM
bjpt-78750	86	110	k	k	X
bjpt-78750	86	111	(	(	PUNCT
bjpt-78750	86	112	0.002367	0.002367	NUM
bjpt-78750	86	113	%	%	NOUN
bjpt-78750	86	114	)	)	PUNCT
bjpt-78750	86	115	reads	read	VERB
bjpt-78750	86	116	too	too	ADV
bjpt-78750	86	117	short	short	ADJ
bjpt-78750	86	118	0	0	NUM
bjpt-78750	87	1	(	(	PUNCT
bjpt-78750	87	2	0.000000	0.000000	NUM
bjpt-78750	87	3	%	%	NOUN
bjpt-78750	87	4	)	)	PUNCT
bjpt-78750	87	5	the	the	DET
bjpt-78750	87	6	genomic	genomic	ADJ
bjpt-78750	87	7	properties	property	NOUN
bjpt-78750	87	8	of	of	ADP
bjpt-78750	87	9	c.	c.	PROPN
bjpt-78750	87	10	pallidicaule	pallidicaule	PROPN
bjpt-78750	87	11	were	be	AUX
bjpt-78750	87	12	assessed	assess	VERB
bjpt-78750	87	13	using	use	VERB
bjpt-78750	87	14	the	the	DET
bjpt-78750	87	15	genomescope	genomescope	NOUN
bjpt-78750	87	16	model	model	NOUN
bjpt-78750	87	17	with	with	ADP
bjpt-78750	87	18	a	a	DET
bjpt-78750	87	19	k	k	PROPN
bjpt-78750	87	20	-	-	PUNCT
bjpt-78750	87	21	mer	mer	NOUN
bjpt-78750	87	22	size	size	NOUN
bjpt-78750	87	23	of	of	ADP
bjpt-78750	87	24	83	83	NUM
bjpt-78750	87	25	,	,	PUNCT
bjpt-78750	87	26	following	follow	VERB
bjpt-78750	87	27	trimming	trim	VERB
bjpt-78750	87	28	of	of	ADP
bjpt-78750	87	29	forward	forward	ADJ
bjpt-78750	87	30	reads	read	NOUN
bjpt-78750	87	31	to	to	PART
bjpt-78750	87	32	remove	remove	VERB
bjpt-78750	87	33	adapter	adapter	NOUN
bjpt-78750	87	34	sequences	sequence	NOUN
bjpt-78750	87	35	and	and	CCONJ
bjpt-78750	87	36	poly	poly	ADJ
bjpt-78750	87	37	-	-	PUNCT
bjpt-78750	87	38	g	g	NOUN
bjpt-78750	87	39	artifacts	artifact	NOUN
bjpt-78750	87	40	.	.	PUNCT
bjpt-78750	88	1	the	the	DET
bjpt-78750	88	2	analysis	analysis	NOUN
bjpt-78750	88	3	revealed	reveal	VERB
bjpt-78750	88	4	a	a	DET
bjpt-78750	88	5	low	low	ADJ
bjpt-78750	88	6	heterozygosity	heterozygosity	NOUN
bjpt-78750	88	7	rate	rate	NOUN
bjpt-78750	88	8	,	,	PUNCT
bjpt-78750	88	9	ranging	range	VERB
bjpt-78750	88	10	from	from	ADP
bjpt-78750	88	11	0.0642	0.0642	NUM
bjpt-78750	88	12	%	%	NOUN
bjpt-78750	88	13	to	to	ADP
bjpt-78750	88	14	0.0660	0.0660	NUM
bjpt-78750	88	15	%	%	NOUN
bjpt-78750	88	16	,	,	PUNCT
bjpt-78750	88	17	suggesting	suggest	VERB
bjpt-78750	88	18	that	that	SCONJ
bjpt-78750	88	19	the	the	DET
bjpt-78750	88	20	genome	genome	NOUN
bjpt-78750	88	21	is	be	AUX
bjpt-78750	88	22	predominantly	predominantly	ADV
bjpt-78750	88	23	homozygous	homozygous	ADJ
bjpt-78750	88	24	(	(	PUNCT
bjpt-78750	88	25	table	table	NOUN
bjpt-78750	88	26	2	2	NUM
bjpt-78750	88	27	,	,	PUNCT
bjpt-78750	88	28	fig	fig	NOUN
bjpt-78750	88	29	.	.	PUNCT
bjpt-78750	89	1	2	2	NUM
bjpt-78750	89	2	)	)	PUNCT
bjpt-78750	89	3	.	.	PUNCT
bjpt-78750	90	1	such	such	ADJ
bjpt-78750	90	2	low	low	ADJ
bjpt-78750	90	3	heterozygosity	heterozygosity	NOUN
bjpt-78750	90	4	levels	level	NOUN
bjpt-78750	90	5	often	often	ADV
bjpt-78750	90	6	indicate	indicate	VERB
bjpt-78750	90	7	a	a	DET
bjpt-78750	90	8	history	history	NOUN
bjpt-78750	90	9	of	of	ADP
bjpt-78750	90	10	inbreeding	inbreede	VERB
bjpt-78750	90	11	,	,	PUNCT
bjpt-78750	90	12	which	which	PRON
bjpt-78750	90	13	can	can	AUX
bjpt-78750	90	14	arise	arise	VERB
bjpt-78750	90	15	due	due	ADP
bjpt-78750	90	16	to	to	ADP
bjpt-78750	90	17	self	self	NOUN
bjpt-78750	90	18	-	-	PUNCT
bjpt-78750	90	19	pollination	pollination	NOUN
bjpt-78750	90	20	,	,	PUNCT
bjpt-78750	90	21	small	small	ADJ
bjpt-78750	90	22	population	population	NOUN
bjpt-78750	90	23	size	size	NOUN
bjpt-78750	90	24	,	,	PUNCT
bjpt-78750	90	25	or	or	CCONJ
bjpt-78750	90	26	geographic	geographic	ADJ
bjpt-78750	90	27	isolation	isolation	NOUN
bjpt-78750	90	28	.	.	PUNCT
bjpt-78750	91	1	alternatively	alternatively	ADV
bjpt-78750	91	2	,	,	PUNCT
bjpt-78750	91	3	it	it	PRON
bjpt-78750	91	4	may	may	AUX
bjpt-78750	91	5	signify	signify	VERB
bjpt-78750	91	6	strong	strong	ADJ
bjpt-78750	91	7	selective	selective	ADJ
bjpt-78750	91	8	pressures	pressure	NOUN
bjpt-78750	91	9	that	that	PRON
bjpt-78750	91	10	favor	favor	VERB
bjpt-78750	91	11	genomic	genomic	ADJ
bjpt-78750	91	12	stability	stability	NOUN
bjpt-78750	91	13	by	by	ADP
bjpt-78750	91	14	purging	purge	VERB
bjpt-78750	91	15	deleterious	deleterious	ADJ
bjpt-78750	91	16	alleles	allele	NOUN
bjpt-78750	91	17	and	and	CCONJ
bjpt-78750	91	18	conserving	conserve	VERB
bjpt-78750	91	19	adaptive	adaptive	ADJ
bjpt-78750	91	20	traits	trait	NOUN
bjpt-78750	91	21	.	.	PUNCT
bjpt-78750	92	1	https://github.com/opengene/fastp	https://github.com/opengene/fastp	PROPN
bjpt-78750	92	2	)	)	PUNCT
bjpt-78750	92	3	230	230	NUM
bjpt-78750	92	4	ali	ali	X
bjpt-78750	92	5	et	et	PROPN
bjpt-78750	92	6	al	al	PROPN
bjpt-78750	92	7	.	.	PUNCT
bjpt-78750	93	1	this	this	DET
bjpt-78750	93	2	genetic	genetic	ADJ
bjpt-78750	93	3	uniformity	uniformity	NOUN
bjpt-78750	93	4	could	could	AUX
bjpt-78750	93	5	enhance	enhance	VERB
bjpt-78750	93	6	the	the	DET
bjpt-78750	93	7	species	specie	NOUN
bjpt-78750	93	8	'	'	PART
bjpt-78750	93	9	fitness	fitness	NOUN
bjpt-78750	93	10	in	in	ADP
bjpt-78750	93	11	its	its	PRON
bjpt-78750	93	12	specific	specific	ADJ
bjpt-78750	93	13	ecological	ecological	ADJ
bjpt-78750	93	14	niche	niche	NOUN
bjpt-78750	93	15	.	.	PUNCT
bjpt-78750	94	1	it	it	PRON
bjpt-78750	94	2	may	may	AUX
bjpt-78750	94	3	also	also	ADV
bjpt-78750	94	4	reduce	reduce	VERB
bjpt-78750	94	5	its	its	PRON
bjpt-78750	94	6	ability	ability	NOUN
bjpt-78750	94	7	to	to	PART
bjpt-78750	94	8	adapt	adapt	VERB
bjpt-78750	94	9	to	to	ADP
bjpt-78750	94	10	rapidly	rapidly	ADV
bjpt-78750	94	11	changing	change	VERB
bjpt-78750	94	12	environmental	environmental	ADJ
bjpt-78750	94	13	conditions	condition	NOUN
bjpt-78750	94	14	or	or	CCONJ
bjpt-78750	94	15	emerging	emerge	VERB
bjpt-78750	94	16	stressors	stressor	NOUN
bjpt-78750	94	17	.	.	PUNCT
bjpt-78750	95	1	understanding	understand	VERB
bjpt-78750	95	2	heterozygosity	heterozygosity	NOUN
bjpt-78750	95	3	is	be	AUX
bjpt-78750	95	4	thus	thus	ADV
bjpt-78750	95	5	crucial	crucial	ADJ
bjpt-78750	95	6	for	for	ADP
bjpt-78750	95	7	conservation	conservation	NOUN
bjpt-78750	95	8	strategies	strategy	NOUN
bjpt-78750	95	9	and	and	CCONJ
bjpt-78750	95	10	for	for	ADP
bjpt-78750	95	11	elucidating	elucidate	VERB
bjpt-78750	95	12	the	the	DET
bjpt-78750	95	13	evolutionary	evolutionary	ADJ
bjpt-78750	95	14	processes	process	NOUN
bjpt-78750	95	15	shaping	shape	VERB
bjpt-78750	95	16	the	the	DET
bjpt-78750	95	17	genetic	genetic	ADJ
bjpt-78750	95	18	makeup	makeup	NOUN
bjpt-78750	95	19	of	of	ADP
bjpt-78750	95	20	c.	c.	PROPN
bjpt-78750	95	21	pallidicaule	pallidicaule	PROPN
bjpt-78750	95	22	(	(	PUNCT
bjpt-78750	95	23	ellestad	ellestad	NOUN
bjpt-78750	95	24	et	et	PROPN
bjpt-78750	95	25	al	al	PROPN
bjpt-78750	95	26	.	.	PROPN
bjpt-78750	95	27	,	,	PUNCT
bjpt-78750	95	28	2022	2022	NUM
bjpt-78750	95	29	)	)	PUNCT
bjpt-78750	95	30	.	.	PUNCT
bjpt-78750	96	1	the	the	DET
bjpt-78750	96	2	estimated	estimate	VERB
bjpt-78750	96	3	haploid	haploid	NOUN
bjpt-78750	96	4	genome	genome	NOUN
bjpt-78750	96	5	length	length	NOUN
bjpt-78750	96	6	was	be	AUX
bjpt-78750	96	7	approximately	approximately	ADV
bjpt-78750	96	8	419.33	419.33	NUM
bjpt-78750	96	9	to	to	ADP
bjpt-78750	96	10	419.54	419.54	NUM
bjpt-78750	96	11	mb	mb	NOUN
bjpt-78750	96	12	,	,	PUNCT
bjpt-78750	96	13	with	with	ADP
bjpt-78750	96	14	a	a	DET
bjpt-78750	96	15	repeat	repeat	NOUN
bjpt-78750	96	16	length	length	NOUN
bjpt-78750	96	17	ranging	range	VERB
bjpt-78750	96	18	from	from	ADP
bjpt-78750	96	19	102.62	102.62	NUM
bjpt-78750	96	20	to	to	ADP
bjpt-78750	96	21	102.67	102.67	NUM
bjpt-78750	96	22	mb	mb	NOUN
bjpt-78750	96	23	,	,	PUNCT
bjpt-78750	96	24	highlighting	highlight	VERB
bjpt-78750	96	25	the	the	DET
bjpt-78750	96	26	repetitive	repetitive	ADJ
bjpt-78750	96	27	regions	region	NOUN
bjpt-78750	96	28	that	that	PRON
bjpt-78750	96	29	play	play	VERB
bjpt-78750	96	30	a	a	DET
bjpt-78750	96	31	key	key	ADJ
bjpt-78750	96	32	role	role	NOUN
bjpt-78750	96	33	in	in	ADP
bjpt-78750	96	34	structural	structural	ADJ
bjpt-78750	96	35	and	and	CCONJ
bjpt-78750	96	36	functional	functional	ADJ
bjpt-78750	96	37	aspects	aspect	NOUN
bjpt-78750	96	38	of	of	ADP
bjpt-78750	96	39	the	the	DET
bjpt-78750	96	40	genome	genome	NOUN
bjpt-78750	96	41	.	.	PUNCT
bjpt-78750	97	1	the	the	DET
bjpt-78750	97	2	unique	unique	ADJ
bjpt-78750	97	3	genome	genome	NOUN
bjpt-78750	97	4	length	length	NOUN
bjpt-78750	97	5	,	,	PUNCT
bjpt-78750	97	6	spanning	span	VERB
bjpt-78750	97	7	316.71	316.71	NUM
bjpt-78750	97	8	to	to	ADP
bjpt-78750	97	9	316.87	316.87	NUM
bjpt-78750	97	10	mb	mb	NOUN
bjpt-78750	97	11	,	,	PUNCT
bjpt-78750	97	12	provides	provide	VERB
bjpt-78750	97	13	a	a	DET
bjpt-78750	97	14	measure	measure	NOUN
bjpt-78750	97	15	of	of	ADP
bjpt-78750	97	16	the	the	DET
bjpt-78750	97	17	non	non	ADJ
bjpt-78750	97	18	-	-	ADJ
bjpt-78750	97	19	redundant	redundant	ADJ
bjpt-78750	97	20	regions	region	NOUN
bjpt-78750	97	21	that	that	PRON
bjpt-78750	97	22	are	be	AUX
bjpt-78750	97	23	essential	essential	ADJ
bjpt-78750	97	24	for	for	ADP
bjpt-78750	97	25	understanding	understand	VERB
bjpt-78750	97	26	the	the	DET
bjpt-78750	97	27	functional	functional	ADJ
bjpt-78750	97	28	genomics	genomic	NOUN
bjpt-78750	97	29	of	of	ADP
bjpt-78750	97	30	this	this	DET
bjpt-78750	97	31	species	specie	NOUN
bjpt-78750	97	32	.	.	PUNCT
bjpt-78750	98	1	these	these	DET
bjpt-78750	98	2	unique	unique	ADJ
bjpt-78750	98	3	sequences	sequence	NOUN
bjpt-78750	98	4	likely	likely	ADV
bjpt-78750	98	5	encode	encode	ADJ
bjpt-78750	98	6	genes	gene	NOUN
bjpt-78750	98	7	critical	critical	ADJ
bjpt-78750	98	8	for	for	ADP
bjpt-78750	98	9	adaptation	adaptation	NOUN
bjpt-78750	98	10	,	,	PUNCT
bjpt-78750	98	11	stress	stress	NOUN
bjpt-78750	98	12	response	response	NOUN
bjpt-78750	98	13	,	,	PUNCT
bjpt-78750	98	14	and	and	CCONJ
bjpt-78750	98	15	metabolic	metabolic	NOUN
bjpt-78750	98	16	processes	process	NOUN
bjpt-78750	98	17	specific	specific	ADJ
bjpt-78750	98	18	to	to	ADP
bjpt-78750	98	19	c.	c.	NOUN
bjpt-78750	98	20	pallidicaule	pallidicaule	PROPN
bjpt-78750	98	21	.	.	PUNCT
bjpt-78750	99	1	the	the	DET
bjpt-78750	99	2	model	model	NOUN
bjpt-78750	99	3	fit	fit	PROPN
bjpt-78750	99	4	,	,	PUNCT
bjpt-78750	99	5	ranging	range	VERB
bjpt-78750	99	6	from	from	ADP
bjpt-78750	99	7	97.99	97.99	NUM
bjpt-78750	99	8	%	%	NOUN
bjpt-78750	99	9	to	to	ADP
bjpt-78750	99	10	99.35	99.35	NUM
bjpt-78750	99	11	%	%	NOUN
bjpt-78750	99	12	,	,	PUNCT
bjpt-78750	99	13	underscores	underscore	VERB
bjpt-78750	99	14	the	the	DET
bjpt-78750	99	15	robustness	robustness	NOUN
bjpt-78750	99	16	of	of	ADP
bjpt-78750	99	17	the	the	DET
bjpt-78750	99	18	k	k	PROPN
bjpt-78750	99	19	-	-	PUNCT
bjpt-78750	99	20	mer	mer	NOUN
bjpt-78750	99	21	-	-	PUNCT
bjpt-78750	99	22	based	base	VERB
bjpt-78750	99	23	analysis	analysis	NOUN
bjpt-78750	99	24	,	,	PUNCT
bjpt-78750	99	25	ensuring	ensure	VERB
bjpt-78750	99	26	that	that	SCONJ
bjpt-78750	99	27	the	the	DET
bjpt-78750	99	28	genome	genome	NOUN
bjpt-78750	99	29	features	feature	NOUN
bjpt-78750	99	30	are	be	AUX
bjpt-78750	99	31	accurately	accurately	ADV
bjpt-78750	99	32	captured	capture	VERB
bjpt-78750	99	33	.	.	PUNCT
bjpt-78750	100	1	additionally	additionally	ADV
bjpt-78750	100	2	,	,	PUNCT
bjpt-78750	100	3	the	the	DET
bjpt-78750	100	4	extremely	extremely	ADV
bjpt-78750	100	5	low	low	ADJ
bjpt-78750	100	6	read	read	NOUN
bjpt-78750	100	7	error	error	NOUN
bjpt-78750	100	8	rate	rate	NOUN
bjpt-78750	100	9	of	of	ADP
bjpt-78750	100	10	0.1068	0.1068	NUM
bjpt-78750	100	11	%	%	NOUN
bjpt-78750	100	12	reflects	reflect	VERB
bjpt-78750	100	13	the	the	DET
bjpt-78750	100	14	high	high	ADJ
bjpt-78750	100	15	quality	quality	NOUN
bjpt-78750	100	16	of	of	ADP
bjpt-78750	100	17	the	the	DET
bjpt-78750	100	18	input	input	NOUN
bjpt-78750	100	19	sequencing	sequence	VERB
bjpt-78750	100	20	data	datum	NOUN
bjpt-78750	100	21	,	,	PUNCT
bjpt-78750	100	22	further	far	ADV
bjpt-78750	100	23	validating	validate	VERB
bjpt-78750	100	24	the	the	DET
bjpt-78750	100	25	reliability	reliability	NOUN
bjpt-78750	100	26	of	of	ADP
bjpt-78750	100	27	the	the	DET
bjpt-78750	100	28	estimates	estimate	NOUN
bjpt-78750	100	29	.	.	PUNCT
bjpt-78750	101	1	in	in	ADP
bjpt-78750	101	2	a	a	DET
bjpt-78750	101	3	recent	recent	ADJ
bjpt-78750	101	4	study	study	NOUN
bjpt-78750	101	5	,	,	PUNCT
bjpt-78750	101	6	de	de	PROPN
bjpt-78750	101	7	novo	novo	PROPN
bjpt-78750	101	8	assembly	assembly	PROPN
bjpt-78750	101	9	of	of	ADP
bjpt-78750	101	10	gaultheria	gaultheria	PROPN
bjpt-78750	101	11	prostrata	prostrata	PROPN
bjpt-78750	101	12	kalm	kalm	PROPN
bjpt-78750	101	13	ex	ex	X
bjpt-78750	101	14	l.	l.	PROPN
bjpt-78750	101	15	(	(	PUNCT
bjpt-78750	101	16	ericaceae	ericaceae	PROPN
bjpt-78750	101	17	)	)	PUNCT
bjpt-78750	101	18	nuclear	nuclear	ADJ
bjpt-78750	101	19	genome	genome	NOUN
bjpt-78750	101	20	showed	show	VERB
bjpt-78750	101	21	model	model	NOUN
bjpt-78750	101	22	error	error	NOUN
bjpt-78750	101	23	rate	rate	NOUN
bjpt-78750	101	24	of	of	ADP
bjpt-78750	101	25	about	about	ADV
bjpt-78750	101	26	0.493	0.493	NUM
bjpt-78750	101	27	%	%	NOUN
bjpt-78750	101	28	(	(	PUNCT
bjpt-78750	101	29	lin	lin	PROPN
bjpt-78750	101	30	et	et	PROPN
bjpt-78750	101	31	al	al	PROPN
bjpt-78750	101	32	,	,	PUNCT
bjpt-78750	101	33	2024	2024	NUM
bjpt-78750	101	34	)	)	PUNCT
bjpt-78750	101	35	.	.	PUNCT
bjpt-78750	102	1	in	in	ADP
bjpt-78750	102	2	our	our	PRON
bjpt-78750	102	3	study	study	NOUN
bjpt-78750	102	4	,	,	PUNCT
bjpt-78750	102	5	game	game	NOUN
bjpt-78750	102	6	v1	v1	PROPN
bjpt-78750	102	7	successfully	successfully	ADV
bjpt-78750	102	8	executed	execute	VERB
bjpt-78750	102	9	genomescope	genomescope	NOUN
bjpt-78750	102	10	and	and	CCONJ
bjpt-78750	102	11	the	the	DET
bjpt-78750	102	12	model	model	NOUN
bjpt-78750	102	13	error	error	NOUN
bjpt-78750	102	14	rate	rate	NOUN
bjpt-78750	102	15	was	be	AUX
bjpt-78750	102	16	much	much	ADV
bjpt-78750	102	17	lower	low	ADJ
bjpt-78750	102	18	than	than	ADP
bjpt-78750	102	19	that	that	PRON
bjpt-78750	102	20	of	of	ADP
bjpt-78750	102	21	g.	g.	PROPN
bjpt-78750	102	22	prostrata	prostrata	PROPN
bjpt-78750	102	23	,	,	PUNCT
bjpt-78750	102	24	further	far	ADV
bjpt-78750	102	25	validating	validate	VERB
bjpt-78750	102	26	the	the	DET
bjpt-78750	102	27	game	game	NOUN
bjpt-78750	102	28	v1	v1	NOUN
bjpt-78750	102	29	execution	execution	NOUN
bjpt-78750	102	30	protocol	protocol	NOUN
bjpt-78750	102	31	.	.	PUNCT
bjpt-78750	103	1	error	error	NOUN
bjpt-78750	103	2	rates	rate	NOUN
bjpt-78750	103	3	below	below	ADP
bjpt-78750	103	4	0.5	0.5	NUM
bjpt-78750	103	5	%	%	NOUN
bjpt-78750	103	6	are	be	AUX
bjpt-78750	103	7	generally	generally	ADV
bjpt-78750	103	8	regarded	regard	VERB
bjpt-78750	103	9	as	as	ADP
bjpt-78750	103	10	acceptable	acceptable	ADJ
bjpt-78750	103	11	for	for	ADP
bjpt-78750	103	12	large	large	ADJ
bjpt-78750	103	13	genome	genome	NOUN
bjpt-78750	103	14	assemblies	assembly	NOUN
bjpt-78750	103	15	,	,	PUNCT
bjpt-78750	103	16	as	as	SCONJ
bjpt-78750	103	17	they	they	PRON
bjpt-78750	103	18	minimize	minimize	VERB
bjpt-78750	103	19	the	the	DET
bjpt-78750	103	20	risk	risk	NOUN
bjpt-78750	103	21	of	of	ADP
bjpt-78750	103	22	misrepresentation	misrepresentation	NOUN
bjpt-78750	103	23	in	in	ADP
bjpt-78750	103	24	genomic	genomic	ADJ
bjpt-78750	103	25	features	feature	NOUN
bjpt-78750	103	26	such	such	ADJ
bjpt-78750	103	27	as	as	ADP
bjpt-78750	103	28	repetitive	repetitive	ADJ
bjpt-78750	103	29	regions	region	NOUN
bjpt-78750	103	30	or	or	CCONJ
bjpt-78750	103	31	structural	structural	ADJ
bjpt-78750	103	32	variants	variant	NOUN
bjpt-78750	103	33	.	.	PUNCT
bjpt-78750	104	1	our	our	PRON
bjpt-78750	104	2	error	error	NOUN
bjpt-78750	104	3	rate	rate	NOUN
bjpt-78750	104	4	,	,	PUNCT
bjpt-78750	104	5	which	which	PRON
bjpt-78750	104	6	is	be	AUX
bjpt-78750	104	7	nearly	nearly	ADV
bjpt-78750	104	8	five	five	NUM
bjpt-78750	104	9	times	time	NOUN
bjpt-78750	104	10	lower	low	ADJ
bjpt-78750	104	11	,	,	PUNCT
bjpt-78750	104	12	reinforces	reinforce	VERB
bjpt-78750	104	13	the	the	DET
bjpt-78750	104	14	reliability	reliability	NOUN
bjpt-78750	104	15	of	of	ADP
bjpt-78750	104	16	our	our	PRON
bjpt-78750	104	17	assembly	assembly	NOUN
bjpt-78750	104	18	and	and	CCONJ
bjpt-78750	104	19	confirms	confirm	VERB
bjpt-78750	104	20	that	that	SCONJ
bjpt-78750	104	21	it	it	PRON
bjpt-78750	104	22	meets	meet	VERB
bjpt-78750	104	23	,	,	PUNCT
bjpt-78750	104	24	and	and	CCONJ
bjpt-78750	104	25	indeed	indeed	ADV
bjpt-78750	104	26	surpasses	surpasse	NOUN
bjpt-78750	104	27	,	,	PUNCT
bjpt-78750	104	28	industry	industry	NOUN
bjpt-78750	104	29	and	and	CCONJ
bjpt-78750	104	30	research	research	NOUN
bjpt-78750	104	31	standards	standard	NOUN
bjpt-78750	104	32	for	for	ADP
bjpt-78750	104	33	de	de	X
bjpt-78750	104	34	novo	novo	NOUN
bjpt-78750	104	35	genome	genome	NOUN
bjpt-78750	104	36	projects	project	NOUN
bjpt-78750	104	37	(	(	PUNCT
bjpt-78750	104	38	lin	lin	PROPN
bjpt-78750	104	39	et	et	PROPN
bjpt-78750	104	40	al	al	PROPN
bjpt-78750	104	41	.	.	PROPN
bjpt-78750	104	42	,	,	PUNCT
bjpt-78750	104	43	2024	2024	NUM
bjpt-78750	104	44	)	)	PUNCT
bjpt-78750	104	45	.	.	PUNCT
bjpt-78750	105	1	the	the	DET
bjpt-78750	105	2	insights	insight	NOUN
bjpt-78750	105	3	into	into	ADP
bjpt-78750	105	4	heterozygosity	heterozygosity	NOUN
bjpt-78750	105	5	and	and	CCONJ
bjpt-78750	105	6	repeat	repeat	NOUN
bjpt-78750	105	7	content	content	NOUN
bjpt-78750	105	8	may	may	AUX
bjpt-78750	105	9	aid	aid	VERB
bjpt-78750	105	10	in	in	ADP
bjpt-78750	105	11	designing	design	VERB
bjpt-78750	105	12	strategies	strategy	NOUN
bjpt-78750	105	13	for	for	ADP
bjpt-78750	105	14	assembling	assemble	VERB
bjpt-78750	105	15	repetitive	repetitive	ADJ
bjpt-78750	105	16	regions	region	NOUN
bjpt-78750	105	17	and	and	CCONJ
bjpt-78750	105	18	identifying	identify	VERB
bjpt-78750	105	19	potential	potential	ADJ
bjpt-78750	105	20	genomic	genomic	NOUN
bjpt-78750	105	21	markers	marker	NOUN
bjpt-78750	105	22	(	(	PUNCT
bjpt-78750	105	23	dai	dai	PROPN
bjpt-78750	105	24	et	et	PROPN
bjpt-78750	105	25	al	al	PROPN
bjpt-78750	105	26	.	.	PROPN
bjpt-78750	105	27	,	,	PUNCT
bjpt-78750	105	28	2016	2016	NUM
bjpt-78750	105	29	)	)	PUNCT
bjpt-78750	105	30	.	.	PUNCT
bjpt-78750	106	1	fig	fig	NOUN
bjpt-78750	106	2	.	.	PUNCT
bjpt-78750	107	1	2	2	X
bjpt-78750	107	2	.	.	X
bjpt-78750	107	3	genomescope	genomescope	NOUN
bjpt-78750	107	4	profile	profile	NOUN
bjpt-78750	107	5	of	of	ADP
bjpt-78750	107	6	the	the	DET
bjpt-78750	107	7	sequenced	sequence	VERB
bjpt-78750	107	8	illumina	illumina	PROPN
bjpt-78750	107	9	paired	pair	VERB
bjpt-78750	107	10	-	-	PUNCT
bjpt-78750	107	11	end	end	NOUN
bjpt-78750	107	12	reads	read	NOUN
bjpt-78750	107	13	of	of	ADP
bjpt-78750	107	14	c.	c.	PROPN
bjpt-78750	107	15	pallidicaule	pallidicaule	PROPN
bjpt-78750	107	16	.	.	PUNCT
bjpt-78750	108	1	a.	a.	NOUN
bjpt-78750	108	2	k	k	PROPN
bjpt-78750	108	3	-	-	PUNCT
bjpt-78750	108	4	mer	mer	PROPN
bjpt-78750	108	5	frequency	frequency	NOUN
bjpt-78750	108	6	ranging	range	VERB
bjpt-78750	108	7	upto	upto	PROPN
bjpt-78750	108	8	3.0×107	3.0×107	PROPN
bjpt-78750	108	9	.	.	PUNCT
bjpt-78750	108	10	b.	b.	PROPN
bjpt-78750	109	1	k	k	PROPN
bjpt-78750	109	2	-	-	PUNCT
bjpt-78750	109	3	mer	mer	PROPN
bjpt-78750	109	4	frequency	frequency	NOUN
bjpt-78750	109	5	ranging	range	VERB
bjpt-78750	109	6	upto	upto	NOUN
bjpt-78750	109	7	1.0×109	1.0×109	PROPN
bjpt-78750	109	8	.	.	PUNCT
bjpt-78750	109	9	gatb	gatb	PROPN
bjpt-78750	109	10	minia	minia	NOUN
bjpt-78750	109	11	pipeline	pipeline	NOUN
bjpt-78750	109	12	was	be	AUX
bjpt-78750	109	13	able	able	ADJ
bjpt-78750	109	14	to	to	PART
bjpt-78750	109	15	generate	generate	VERB
bjpt-78750	109	16	the	the	DET
bjpt-78750	109	17	assembled	assemble	VERB
bjpt-78750	109	18	contigs	contig	NOUN
bjpt-78750	109	19	and	and	CCONJ
bjpt-78750	109	20	scaffolds	scaffold	VERB
bjpt-78750	109	21	files	file	NOUN
bjpt-78750	109	22	successfully	successfully	ADV
bjpt-78750	109	23	.	.	PUNCT
bjpt-78750	110	1	quast	quast	NOUN
bjpt-78750	110	2	evaluation	evaluation	NOUN
bjpt-78750	110	3	of	of	ADP
bjpt-78750	110	4	the	the	DET
bjpt-78750	110	5	contigs	contig	NOUN
bjpt-78750	110	6	revealed	reveal	VERB
bjpt-78750	110	7	significant	significant	ADJ
bjpt-78750	110	8	insights	insight	NOUN
bjpt-78750	110	9	on	on	ADP
bjpt-78750	110	10	the	the	DET
bjpt-78750	110	11	assembled	assemble	VERB
bjpt-78750	110	12	contigs	contig	NOUN
bjpt-78750	110	13	(	(	PUNCT
bjpt-78750	110	14	table	table	NOUN
bjpt-78750	110	15	3	3	NUM
bjpt-78750	110	16	)	)	PUNCT
bjpt-78750	110	17	.	.	PUNCT
bjpt-78750	111	1	a	a	DET
bjpt-78750	111	2	total	total	NOUN
bjpt-78750	111	3	of	of	ADP
bjpt-78750	111	4	341,893	341,893	NUM
bjpt-78750	111	5	contigs	contig	NOUN
bjpt-78750	111	6	were	be	AUX
bjpt-78750	111	7	generated	generate	VERB
bjpt-78750	111	8	,	,	PUNCT
bjpt-78750	111	9	of	of	ADP
bjpt-78750	111	10	which	which	PRON
bjpt-78750	111	11	58,302	58,302	NUM
bjpt-78750	111	12	contigs	contig	NOUN
bjpt-78750	111	13	were	be	AUX
bjpt-78750	111	14	longer	long	ADJ
bjpt-78750	111	15	genomic	genomic	ADJ
bjpt-78750	111	16	analysis	analysis	NOUN
bjpt-78750	111	17	made	make	VERB
bjpt-78750	111	18	easy	easy	ADJ
bjpt-78750	111	19	(	(	PUNCT
bjpt-78750	111	20	game	game	NOUN
bjpt-78750	111	21	v1	v1	NOUN
bjpt-78750	111	22	):	):	PUNCT
bjpt-78750	111	23	an	an	DET
bjpt-78750	111	24	automated	automate	VERB
bjpt-78750	111	25	software	software	NOUN
bjpt-78750	111	26	231	231	NUM
bjpt-78750	111	27	than	than	ADP
bjpt-78750	111	28	1,000	1,000	NUM
bjpt-78750	111	29	bp	bp	NOUN
bjpt-78750	111	30	,	,	PUNCT
bjpt-78750	111	31	17,041	17,041	NUM
bjpt-78750	111	32	contigs	contig	NOUN
bjpt-78750	111	33	exceeded	exceed	VERB
bjpt-78750	111	34	5,000	5,000	NUM
bjpt-78750	111	35	bp	bp	NOUN
bjpt-78750	111	36	,	,	PUNCT
bjpt-78750	111	37	and	and	CCONJ
bjpt-78750	111	38	5,852	5,852	NUM
bjpt-78750	111	39	contigs	contig	NOUN
bjpt-78750	111	40	were	be	AUX
bjpt-78750	111	41	greater	great	ADJ
bjpt-78750	111	42	than	than	ADP
bjpt-78750	111	43	10,000	10,000	NUM
bjpt-78750	111	44	bp	bp	NOUN
bjpt-78750	111	45	in	in	ADP
bjpt-78750	111	46	length	length	NOUN
bjpt-78750	111	47	.	.	PUNCT
bjpt-78750	112	1	additionally	additionally	ADV
bjpt-78750	112	2	,	,	PUNCT
bjpt-78750	112	3	315	315	NUM
bjpt-78750	112	4	contigs	contig	NOUN
bjpt-78750	112	5	were	be	AUX
bjpt-78750	112	6	longer	long	ADJ
bjpt-78750	112	7	than	than	ADP
bjpt-78750	112	8	25,000	25,000	NUM
bjpt-78750	112	9	bp	bp	NOUN
bjpt-78750	112	10	,	,	PUNCT
bjpt-78750	112	11	and	and	CCONJ
bjpt-78750	112	12	3	3	NUM
bjpt-78750	112	13	contigs	contig	NOUN
bjpt-78750	112	14	exceeded	exceed	VERB
bjpt-78750	112	15	50,000	50,000	NUM
bjpt-78750	112	16	bp	bp	NOUN
bjpt-78750	112	17	.	.	PUNCT
bjpt-78750	113	1	the	the	DET
bjpt-78750	113	2	total	total	ADJ
bjpt-78750	113	3	length	length	NOUN
bjpt-78750	113	4	of	of	ADP
bjpt-78750	113	5	the	the	DET
bjpt-78750	113	6	assembled	assemble	VERB
bjpt-78750	113	7	sequences	sequence	NOUN
bjpt-78750	113	8	was	be	AUX
bjpt-78750	113	9	320,381,369	320,381,369	NUM
bjpt-78750	113	10	bp	bp	NOUN
bjpt-78750	113	11	,	,	PUNCT
bjpt-78750	113	12	with	with	ADP
bjpt-78750	113	13	261,461,981	261,461,981	NUM
bjpt-78750	113	14	bp	bp	NOUN
bjpt-78750	113	15	in	in	ADP
bjpt-78750	113	16	contigs	contig	NOUN
bjpt-78750	113	17	≥	≥	NUM
bjpt-78750	113	18	1,000	1,000	NUM
bjpt-78750	113	19	bp	bp	PROPN
bjpt-78750	113	20	and	and	CCONJ
bjpt-78750	113	21	166,570,318	166,570,318	NUM
bjpt-78750	113	22	bp	bp	PROPN
bjpt-78750	113	23	in	in	ADP
bjpt-78750	113	24	contigs	contig	NOUN
bjpt-78750	113	25	≥	≥	NUM
bjpt-78750	113	26	5,000	5,000	NUM
bjpt-78750	113	27	bp	bp	NOUN
bjpt-78750	113	28	.	.	PUNCT
bjpt-78750	114	1	the	the	DET
bjpt-78750	114	2	largest	large	ADJ
bjpt-78750	114	3	contig	contig	NOUN
bjpt-78750	114	4	assembled	assemble	VERB
bjpt-78750	114	5	was	be	AUX
bjpt-78750	114	6	53,042	53,042	NUM
bjpt-78750	114	7	bp	bp	NOUN
bjpt-78750	114	8	,	,	PUNCT
bjpt-78750	114	9	and	and	CCONJ
bjpt-78750	114	10	the	the	DET
bjpt-78750	114	11	assembly	assembly	NOUN
bjpt-78750	114	12	had	have	VERB
bjpt-78750	114	13	a	a	DET
bjpt-78750	114	14	gc	gc	PROPN
bjpt-78750	114	15	content	content	NOUN
bjpt-78750	114	16	of	of	ADP
bjpt-78750	114	17	36.27	36.27	NUM
bjpt-78750	114	18	%	%	NOUN
bjpt-78750	114	19	.	.	PUNCT
bjpt-78750	115	1	table	table	NOUN
bjpt-78750	115	2	2	2	NUM
bjpt-78750	115	3	.	.	PUNCT
bjpt-78750	116	1	genomic	genomic	ADJ
bjpt-78750	116	2	estimates	estimate	NOUN
bjpt-78750	116	3	of	of	ADP
bjpt-78750	116	4	c.	c.	PROPN
bjpt-78750	116	5	pallidicaule	pallidicaule	PROPN
bjpt-78750	116	6	genome	genome	NOUN
bjpt-78750	116	7	using	use	VERB
bjpt-78750	116	8	genomescope	genomescope	NOUN
bjpt-78750	116	9	module	module	NOUN
bjpt-78750	116	10	of	of	ADP
bjpt-78750	116	11	game	game	NOUN
bjpt-78750	116	12	v1	v1	NOUN
bjpt-78750	116	13	.	.	PUNCT
bjpt-78750	117	1	properties	property	NOUN
bjpt-78750	117	2	minimum	minimum	VERB
bjpt-78750	117	3	maximum	maximum	ADJ
bjpt-78750	117	4	heterozygosity	heterozygosity	NOUN
bjpt-78750	117	5	0.0642223	0.0642223	NUM
bjpt-78750	117	6	%	%	NOUN
bjpt-78750	117	7	0.0659812	0.0659812	NUM
bjpt-78750	117	8	%	%	NOUN
bjpt-78750	117	9	genome	genome	NOUN
bjpt-78750	117	10	haploid	haploid	NOUN
bjpt-78750	117	11	length	length	NOUN
bjpt-78750	117	12	419,333,197	419,333,197	NUM
bjpt-78750	117	13	bp	bp	PROPN
bjpt-78750	117	14	419,543,345	419,543,345	NUM
bjpt-78750	117	15	bp	bp	PROPN
bjpt-78750	117	16	genome	genome	NOUN
bjpt-78750	117	17	repeat	repeat	NOUN
bjpt-78750	117	18	length	length	NOUN
bjpt-78750	117	19	102,622,500	102,622,500	NUM
bjpt-78750	117	20	bp	bp	PROPN
bjpt-78750	117	21	102,673,929	102,673,929	NUM
bjpt-78750	117	22	bp	bp	PROPN
bjpt-78750	117	23	genome	genome	NOUN
bjpt-78750	117	24	unique	unique	ADJ
bjpt-78750	117	25	length	length	NOUN
bjpt-78750	117	26	316,710,697	316,710,697	NUM
bjpt-78750	117	27	bp	bp	PROPN
bjpt-78750	117	28	316,869,415	316,869,415	NUM
bjpt-78750	117	29	bp	bp	PROPN
bjpt-78750	117	30	model	model	NOUN
bjpt-78750	117	31	fit	fit	VERB
bjpt-78750	117	32	97.9918	97.9918	NUM
bjpt-78750	117	33	%	%	NOUN
bjpt-78750	117	34	99.3459	99.3459	NUM
bjpt-78750	117	35	%	%	NOUN
bjpt-78750	117	36	read	read	NOUN
bjpt-78750	117	37	error	error	NOUN
bjpt-78750	117	38	rate	rate	NOUN
bjpt-78750	117	39	0.106822	0.106822	NUM
bjpt-78750	117	40	%	%	NOUN
bjpt-78750	117	41	0.106822	0.106822	NUM
bjpt-78750	117	42	%	%	NOUN
bjpt-78750	117	43	table	table	NOUN
bjpt-78750	117	44	3	3	NUM
bjpt-78750	117	45	.	.	PUNCT
bjpt-78750	117	46	evaluation	evaluation	NOUN
bjpt-78750	117	47	of	of	ADP
bjpt-78750	117	48	contigs	contig	NOUN
bjpt-78750	117	49	and	and	CCONJ
bjpt-78750	117	50	scaffolds	scaffold	NOUN
bjpt-78750	117	51	assembled	assemble	VERB
bjpt-78750	117	52	via	via	ADP
bjpt-78750	117	53	gatb	gatb	NOUN
bjpt-78750	117	54	minia	minia	NOUN
bjpt-78750	117	55	pipeline	pipeline	NOUN
bjpt-78750	117	56	inside	inside	ADP
bjpt-78750	117	57	game	game	NOUN
bjpt-78750	117	58	v1	v1	PROPN
bjpt-78750	117	59	.	.	PUNCT
bjpt-78750	118	1	characteristics	characteristic	NOUN
bjpt-78750	118	2	contigs	contig	NOUN
bjpt-78750	118	3	scaffolds	scaffold	VERB
bjpt-78750	118	4	contigs	contig	NOUN
bjpt-78750	118	5	/	/	SYM
bjpt-78750	118	6	scaffolds	scaffold	NOUN
bjpt-78750	118	7	(	(	PUNCT
bjpt-78750	118	8	≥	≥	NOUN
bjpt-78750	118	9	0	0	NUM
bjpt-78750	118	10	bp	bp	PROPN
bjpt-78750	118	11	)	)	PUNCT
bjpt-78750	118	12	341893	341893	NUM
bjpt-78750	118	13	270380	270380	NUM
bjpt-78750	118	14	contigs	contig	NOUN
bjpt-78750	118	15	/	/	SYM
bjpt-78750	118	16	scaffolds	scaffold	NOUN
bjpt-78750	118	17	(	(	PUNCT
bjpt-78750	118	18	≥	≥	NUM
bjpt-78750	118	19	1000	1000	NUM
bjpt-78750	118	20	bp	bp	PROPN
bjpt-78750	118	21	)	)	PUNCT
bjpt-78750	118	22	58302	58302	NUM
bjpt-78750	118	23	46511	46511	NUM
bjpt-78750	118	24	contigs	contig	NOUN
bjpt-78750	118	25	/	/	SYM
bjpt-78750	118	26	scaffolds	scaffold	NOUN
bjpt-78750	118	27	(	(	PUNCT
bjpt-78750	118	28	≥	≥	NOUN
bjpt-78750	118	29	5000	5000	NUM
bjpt-78750	118	30	bp	bp	PROPN
bjpt-78750	118	31	)	)	PUNCT
bjpt-78750	118	32	17041	17041	NUM
bjpt-78750	118	33	16906	16906	NUM
bjpt-78750	118	34	contigs	contig	NOUN
bjpt-78750	118	35	/	/	SYM
bjpt-78750	118	36	scaffolds	scaffold	NOUN
bjpt-78750	118	37	(	(	PUNCT
bjpt-78750	118	38	≥	≥	NUM
bjpt-78750	118	39	10000	10000	NUM
bjpt-78750	118	40	bp	bp	PROPN
bjpt-78750	118	41	)	)	PUNCT
bjpt-78750	118	42	5852	5852	NUM
bjpt-78750	118	43	7963	7963	NUM
bjpt-78750	118	44	contigs	contig	NOUN
bjpt-78750	118	45	/	/	SYM
bjpt-78750	118	46	scaffolds	scaffold	NOUN
bjpt-78750	118	47	(	(	PUNCT
bjpt-78750	118	48	≥	≥	NOUN
bjpt-78750	118	49	25000	25000	NUM
bjpt-78750	118	50	bp	bp	PROPN
bjpt-78750	118	51	)	)	PUNCT
bjpt-78750	118	52	315	315	NUM
bjpt-78750	118	53	1130	1130	NUM
bjpt-78750	118	54	contigs	contig	NOUN
bjpt-78750	118	55	/	/	SYM
bjpt-78750	118	56	scaffolds	scaffold	NOUN
bjpt-78750	118	57	(	(	PUNCT
bjpt-78750	118	58	≥	≥	NUM
bjpt-78750	118	59	50000	50000	NUM
bjpt-78750	118	60	bp	bp	NOUN
bjpt-78750	118	61	)	)	PUNCT
bjpt-78750	118	62	3	3	NUM
bjpt-78750	118	63	70	70	NUM
bjpt-78750	118	64	total	total	ADJ
bjpt-78750	118	65	length	length	NOUN
bjpt-78750	118	66	(	(	PUNCT
bjpt-78750	118	67	≥	≥	NOUN
bjpt-78750	118	68	0	0	NUM
bjpt-78750	118	69	bp	bp	PROPN
bjpt-78750	118	70	)	)	PUNCT
bjpt-78750	118	71	320381369	320381369	NUM
bjpt-78750	118	72	316150614	316150614	NUM
bjpt-78750	118	73	total	total	ADJ
bjpt-78750	118	74	length	length	NOUN
bjpt-78750	118	75	(	(	PUNCT
bjpt-78750	118	76	≥	≥	NOUN
bjpt-78750	118	77	1000	1000	NUM
bjpt-78750	118	78	bp	bp	PROPN
bjpt-78750	118	79	)	)	PUNCT
bjpt-78750	118	80	261461981	261461981	NUM
bjpt-78750	118	81	272974537	272974537	NUM
bjpt-78750	118	82	total	total	ADJ
bjpt-78750	118	83	length	length	NOUN
bjpt-78750	118	84	(	(	PUNCT
bjpt-78750	118	85	≥	≥	NOUN
bjpt-78750	118	86	5000	5000	NUM
bjpt-78750	118	87	bp	bp	PROPN
bjpt-78750	118	88	)	)	PUNCT
bjpt-78750	118	89	166570318	166570318	NUM
bjpt-78750	118	90	204363590	204363590	NUM
bjpt-78750	118	91	total	total	ADJ
bjpt-78750	118	92	length	length	NOUN
bjpt-78750	118	93	(	(	PUNCT
bjpt-78750	118	94	≥	≥	NOUN
bjpt-78750	118	95	10000	10000	NUM
bjpt-78750	118	96	bp	bp	PROPN
bjpt-78750	118	97	)	)	PUNCT
bjpt-78750	118	98	88104240	88104240	NUM
bjpt-78750	118	99	140718618	140718618	NUM
bjpt-78750	118	100	total	total	ADJ
bjpt-78750	118	101	length	length	NOUN
bjpt-78750	118	102	(	(	PUNCT
bjpt-78750	118	103	≥	≥	NOUN
bjpt-78750	118	104	25000	25000	NUM
bjpt-78750	118	105	bp	bp	PROPN
bjpt-78750	118	106	)	)	PUNCT
bjpt-78750	118	107	9669339	9669339	NUM
bjpt-78750	118	108	38029954	38029954	NUM
bjpt-78750	118	109	total	total	ADJ
bjpt-78750	118	110	length	length	NOUN
bjpt-78750	118	111	(	(	PUNCT
bjpt-78750	118	112	≥	≥	NOUN
bjpt-78750	118	113	50000	50000	NUM
bjpt-78750	118	114	bp	bp	PROPN
bjpt-78750	118	115	)	)	PUNCT
bjpt-78750	118	116	155557	155557	NUM
bjpt-78750	118	117	4196083	4196083	NUM
bjpt-78750	118	118	contigs	contig	NOUN
bjpt-78750	118	119	/	/	SYM
bjpt-78750	118	120	scaffolds	scaffold	NOUN
bjpt-78750	118	121	85317	85317	NUM
bjpt-78750	118	122	64228	64228	NUM
bjpt-78750	119	1	largest	large	ADJ
bjpt-78750	119	2	contig	contig	PROPN
bjpt-78750	119	3	/	/	SYM
bjpt-78750	119	4	scaffold	scaffold	NOUN
bjpt-78750	119	5	53042	53042	NUM
bjpt-78750	119	6	96620	96620	NUM
bjpt-78750	119	7	total	total	ADJ
bjpt-78750	119	8	length	length	NOUN
bjpt-78750	119	9	281042957	281042957	NUM
bjpt-78750	119	10	285845886	285845886	NUM
bjpt-78750	119	11	gc	gc	PROPN
bjpt-78750	119	12	(	(	PUNCT
bjpt-78750	119	13	%	%	INTJ
bjpt-78750	119	14	)	)	PUNCT
bjpt-78750	119	15	36.27	36.27	NUM
bjpt-78750	119	16	36.33	36.33	NUM
bjpt-78750	119	17	n50	n50	NOUN
bjpt-78750	119	18	6394	6394	NUM
bjpt-78750	119	19	9805	9805	NUM
bjpt-78750	120	1	n90	n90	PROPN
bjpt-78750	120	2	1246	1246	NUM
bjpt-78750	120	3	1717	1717	NUM
bjpt-78750	120	4	aun	aun	NOUN
bjpt-78750	120	5	8339.5	8339.5	NUM
bjpt-78750	120	6	12948.7	12948.7	NUM
bjpt-78750	120	7	l50	l50	NOUN
bjpt-78750	120	8	12442	12442	NUM
bjpt-78750	120	9	8186	8186	NUM
bjpt-78750	120	10	l90	l90	PROPN
bjpt-78750	120	11	50659	50659	NUM
bjpt-78750	120	12	34531	34531	NUM
bjpt-78750	120	13	n	n	CCONJ
bjpt-78750	120	14	's	's	PART
bjpt-78750	120	15	per	per	ADP
bjpt-78750	120	16	100	100	NUM
bjpt-78750	120	17	kbp	kbp	PROPN
bjpt-78750	120	18	0.00	0.00	NUM
bjpt-78750	120	19	18.89	18.89	NUM
bjpt-78750	120	20	the	the	DET
bjpt-78750	120	21	n50	n50	NOUN
bjpt-78750	120	22	value	value	NOUN
bjpt-78750	120	23	,	,	PUNCT
bjpt-78750	120	24	a	a	DET
bjpt-78750	120	25	critical	critical	ADJ
bjpt-78750	120	26	metric	metric	NOUN
bjpt-78750	120	27	for	for	ADP
bjpt-78750	120	28	evaluating	evaluate	VERB
bjpt-78750	120	29	genome	genome	NOUN
bjpt-78750	120	30	assembly	assembly	NOUN
bjpt-78750	120	31	quality	quality	NOUN
bjpt-78750	120	32	,	,	PUNCT
bjpt-78750	120	33	provides	provide	VERB
bjpt-78750	120	34	insight	insight	NOUN
bjpt-78750	120	35	into	into	ADP
bjpt-78750	120	36	the	the	DET
bjpt-78750	120	37	contiguity	contiguity	NOUN
bjpt-78750	120	38	of	of	ADP
bjpt-78750	120	39	assembled	assemble	VERB
bjpt-78750	120	40	sequences	sequence	NOUN
bjpt-78750	120	41	.	.	PUNCT
bjpt-78750	121	1	for	for	ADP
bjpt-78750	121	2	c.	c.	PROPN
bjpt-78750	121	3	pallidicaule	pallidicaule	PROPN
bjpt-78750	121	4	,	,	PUNCT
bjpt-78750	121	5	the	the	DET
bjpt-78750	121	6	n50	n50	NOUN
bjpt-78750	121	7	value	value	NOUN
bjpt-78750	121	8	was	be	AUX
bjpt-78750	121	9	recorded	record	VERB
bjpt-78750	121	10	at	at	ADP
bjpt-78750	121	11	6,394	6,394	NUM
bjpt-78750	121	12	bp	bp	NOUN
bjpt-78750	121	13	,	,	PUNCT
bjpt-78750	121	14	notably	notably	ADV
bjpt-78750	121	15	higher	high	ADJ
bjpt-78750	121	16	than	than	ADP
bjpt-78750	121	17	the	the	DET
bjpt-78750	121	18	n50	n50	NOUN
bjpt-78750	121	19	of	of	ADP
bjpt-78750	121	20	cymbopogon	cymbopogon	PROPN
bjpt-78750	121	21	citratus	citratus	PROPN
bjpt-78750	121	22	,	,	PUNCT
bjpt-78750	121	23	which	which	PRON
bjpt-78750	121	24	measured	measure	VERB
bjpt-78750	121	25	4,347	4,347	NUM
bjpt-78750	121	26	bp	bp	NOUN
bjpt-78750	121	27	(	(	PUNCT
bjpt-78750	121	28	chakravartty	chakravartty	VERB
bjpt-78750	121	29	and	and	CCONJ
bjpt-78750	121	30	neelapu	neelapu	PROPN
bjpt-78750	121	31	,	,	PUNCT
bjpt-78750	121	32	2024	2024	NUM
bjpt-78750	121	33	)	)	PUNCT
bjpt-78750	121	34	.	.	PUNCT
bjpt-78750	122	1	this	this	DET
bjpt-78750	122	2	comparison	comparison	NOUN
bjpt-78750	122	3	highlights	highlight	VERB
bjpt-78750	122	4	that	that	PRON
bjpt-78750	122	5	the	the	DET
bjpt-78750	122	6	c.	c.	PROPN
bjpt-78750	122	7	pallidicaule	pallidicaule	PROPN
bjpt-78750	122	8	genome	genome	NOUN
bjpt-78750	122	9	assembly	assembly	NOUN
bjpt-78750	122	10	possesses	possess	VERB
bjpt-78750	122	11	greater	great	ADJ
bjpt-78750	122	12	contiguity	contiguity	NOUN
bjpt-78750	122	13	,	,	PUNCT
bjpt-78750	122	14	indicating	indicate	VERB
bjpt-78750	122	15	that	that	SCONJ
bjpt-78750	122	16	its	its	PRON
bjpt-78750	122	17	sequences	sequence	NOUN
bjpt-78750	122	18	are	be	AUX
bjpt-78750	122	19	,	,	PUNCT
bjpt-78750	122	20	on	on	ADP
bjpt-78750	122	21	average	average	ADJ
bjpt-78750	122	22	,	,	PUNCT
bjpt-78750	122	23	longer	long	ADV
bjpt-78750	122	24	and	and	CCONJ
bjpt-78750	122	25	potentially	potentially	ADV
bjpt-78750	122	26	more	more	ADV
bjpt-78750	122	27	complete	complete	ADJ
bjpt-78750	122	28	.	.	PUNCT
bjpt-78750	123	1	higher	high	ADJ
bjpt-78750	123	2	n50	n50	NOUN
bjpt-78750	123	3	values	value	NOUN
bjpt-78750	123	4	are	be	AUX
bjpt-78750	123	5	significant	significant	ADJ
bjpt-78750	123	6	as	as	SCONJ
bjpt-78750	123	7	they	they	PRON
bjpt-78750	123	8	often	often	ADV
bjpt-78750	123	9	reflect	reflect	VERB
bjpt-78750	123	10	better	well	ADJ
bjpt-78750	123	11	assembly	assembly	PROPN
bjpt-78750	123	12	232	232	NUM
bjpt-78750	123	13	ali	ali	PROPN
bjpt-78750	123	14	et	et	PROPN
bjpt-78750	123	15	al	al	PROPN
bjpt-78750	123	16	.	.	PROPN
bjpt-78750	123	17	performance	performance	NOUN
bjpt-78750	123	18	,	,	PUNCT
bjpt-78750	123	19	facilitating	facilitate	VERB
bjpt-78750	123	20	downstream	downstream	ADJ
bjpt-78750	123	21	analyses	analysis	NOUN
bjpt-78750	123	22	such	such	ADJ
bjpt-78750	123	23	as	as	ADP
bjpt-78750	123	24	gene	gene	NOUN
bjpt-78750	123	25	prediction	prediction	NOUN
bjpt-78750	123	26	and	and	CCONJ
bjpt-78750	123	27	structural	structural	ADJ
bjpt-78750	123	28	annotation	annotation	NOUN
bjpt-78750	123	29	.	.	PUNCT
bjpt-78750	124	1	conversely	conversely	ADV
bjpt-78750	124	2	,	,	PUNCT
bjpt-78750	124	3	the	the	DET
bjpt-78750	124	4	lower	low	ADJ
bjpt-78750	124	5	n50	n50	NOUN
bjpt-78750	124	6	value	value	NOUN
bjpt-78750	124	7	of	of	ADP
bjpt-78750	124	8	c.	c.	PROPN
bjpt-78750	124	9	citratus	citratus	PROPN
bjpt-78750	124	10	suggests	suggest	VERB
bjpt-78750	124	11	that	that	SCONJ
bjpt-78750	124	12	its	its	PRON
bjpt-78750	124	13	assembly	assembly	NOUN
bjpt-78750	124	14	may	may	AUX
bjpt-78750	124	15	have	have	VERB
bjpt-78750	124	16	more	more	ADV
bjpt-78750	124	17	fragmented	fragmented	ADJ
bjpt-78750	124	18	sequences	sequence	NOUN
bjpt-78750	124	19	,	,	PUNCT
bjpt-78750	124	20	possibly	possibly	ADV
bjpt-78750	124	21	due	due	ADP
bjpt-78750	124	22	to	to	ADP
bjpt-78750	124	23	sequencing	sequence	VERB
bjpt-78750	124	24	limitations	limitation	NOUN
bjpt-78750	124	25	,	,	PUNCT
bjpt-78750	124	26	assembly	assembly	NOUN
bjpt-78750	124	27	strategies	strategy	NOUN
bjpt-78750	124	28	,	,	PUNCT
bjpt-78750	124	29	or	or	CCONJ
bjpt-78750	124	30	inherent	inherent	ADJ
bjpt-78750	124	31	genomic	genomic	NOUN
bjpt-78750	124	32	complexity	complexity	NOUN
bjpt-78750	124	33	.	.	PUNCT
bjpt-78750	125	1	these	these	DET
bjpt-78750	125	2	differences	difference	NOUN
bjpt-78750	125	3	emphasize	emphasize	VERB
bjpt-78750	125	4	the	the	DET
bjpt-78750	125	5	importance	importance	NOUN
bjpt-78750	125	6	of	of	ADP
bjpt-78750	125	7	optimizing	optimize	VERB
bjpt-78750	125	8	sequencing	sequencing	NOUN
bjpt-78750	125	9	and	and	CCONJ
bjpt-78750	125	10	assembly	assembly	NOUN
bjpt-78750	125	11	methods	method	NOUN
bjpt-78750	125	12	to	to	PART
bjpt-78750	125	13	achieve	achieve	VERB
bjpt-78750	125	14	high	high	ADJ
bjpt-78750	125	15	-	-	PUNCT
bjpt-78750	125	16	quality	quality	NOUN
bjpt-78750	125	17	genomic	genomic	NOUN
bjpt-78750	125	18	assemblies	assembly	NOUN
bjpt-78750	125	19	for	for	ADP
bjpt-78750	125	20	comparative	comparative	ADJ
bjpt-78750	125	21	and	and	CCONJ
bjpt-78750	125	22	functional	functional	ADJ
bjpt-78750	125	23	studies	study	NOUN
bjpt-78750	125	24	.	.	PUNCT
bjpt-78750	126	1	the	the	DET
bjpt-78750	126	2	aun	aun	NOUN
bjpt-78750	126	3	was	be	AUX
bjpt-78750	126	4	calculated	calculate	VERB
bjpt-78750	126	5	as	as	ADP
bjpt-78750	126	6	8,339.5	8,339.5	NUM
bjpt-78750	126	7	bp	bp	PROPN
bjpt-78750	126	8	.	.	PUNCT
bjpt-78750	127	1	the	the	DET
bjpt-78750	127	2	l50	l50	NOUN
bjpt-78750	127	3	and	and	CCONJ
bjpt-78750	127	4	l90	l90	NOUN
bjpt-78750	127	5	values	value	NOUN
bjpt-78750	127	6	,	,	PUNCT
bjpt-78750	127	7	indicating	indicate	VERB
bjpt-78750	127	8	the	the	DET
bjpt-78750	127	9	number	number	NOUN
bjpt-78750	127	10	of	of	ADP
bjpt-78750	127	11	contigs	contig	NOUN
bjpt-78750	127	12	required	require	VERB
bjpt-78750	127	13	to	to	PART
bjpt-78750	127	14	cover	cover	VERB
bjpt-78750	127	15	50	50	NUM
bjpt-78750	127	16	%	%	NOUN
bjpt-78750	127	17	and	and	CCONJ
bjpt-78750	127	18	90	90	NUM
bjpt-78750	127	19	%	%	NOUN
bjpt-78750	127	20	of	of	ADP
bjpt-78750	127	21	the	the	DET
bjpt-78750	127	22	genome	genome	NOUN
bjpt-78750	127	23	assembly	assembly	NOUN
bjpt-78750	127	24	,	,	PUNCT
bjpt-78750	127	25	were	be	AUX
bjpt-78750	127	26	12,442	12,442	NUM
bjpt-78750	127	27	and	and	CCONJ
bjpt-78750	127	28	50,659	50,659	NUM
bjpt-78750	127	29	,	,	PUNCT
bjpt-78750	127	30	respectively	respectively	ADV
bjpt-78750	127	31	.	.	PUNCT
bjpt-78750	128	1	no	no	DET
bjpt-78750	128	2	ambiguous	ambiguous	ADJ
bjpt-78750	128	3	bases	basis	NOUN
bjpt-78750	128	4	(	(	PUNCT
bjpt-78750	128	5	n	n	X
bjpt-78750	128	6	's	's	PART
bjpt-78750	128	7	)	)	PUNCT
bjpt-78750	128	8	were	be	AUX
bjpt-78750	128	9	detected	detect	VERB
bjpt-78750	128	10	in	in	ADP
bjpt-78750	128	11	the	the	DET
bjpt-78750	128	12	assembly	assembly	NOUN
bjpt-78750	128	13	,	,	PUNCT
bjpt-78750	128	14	as	as	SCONJ
bjpt-78750	128	15	reflected	reflect	VERB
bjpt-78750	128	16	by	by	ADP
bjpt-78750	128	17	0.00	0.00	NUM
bjpt-78750	128	18	n	n	CCONJ
bjpt-78750	128	19	's	's	PART
bjpt-78750	128	20	per	per	ADP
bjpt-78750	128	21	100	100	NUM
bjpt-78750	128	22	kbp	kbp	NOUN
bjpt-78750	128	23	.	.	PUNCT
bjpt-78750	129	1	regarding	regard	VERB
bjpt-78750	129	2	the	the	DET
bjpt-78750	129	3	scaffold	scaffold	NOUN
bjpt-78750	129	4	assembly	assembly	NOUN
bjpt-78750	129	5	,	,	PUNCT
bjpt-78750	129	6	a	a	DET
bjpt-78750	129	7	total	total	NOUN
bjpt-78750	129	8	of	of	ADP
bjpt-78750	129	9	270,380	270,380	NUM
bjpt-78750	129	10	scaffolds	scaffold	NOUN
bjpt-78750	129	11	were	be	AUX
bjpt-78750	129	12	generated	generate	VERB
bjpt-78750	129	13	,	,	PUNCT
bjpt-78750	129	14	with	with	ADP
bjpt-78750	129	15	46,511	46,511	NUM
bjpt-78750	129	16	scaffolds	scaffold	NOUN
bjpt-78750	129	17	being	be	AUX
bjpt-78750	129	18	at	at	ADP
bjpt-78750	129	19	least	least	ADJ
bjpt-78750	129	20	1,000	1,000	NUM
bjpt-78750	129	21	bp	bp	NOUN
bjpt-78750	129	22	in	in	ADP
bjpt-78750	129	23	length	length	NOUN
bjpt-78750	129	24	and	and	CCONJ
bjpt-78750	129	25	7,963	7,963	NUM
bjpt-78750	129	26	exceeding	exceed	VERB
bjpt-78750	129	27	10,000	10,000	NUM
bjpt-78750	129	28	bp	bp	NOUN
bjpt-78750	129	29	.	.	PUNCT
bjpt-78750	130	1	the	the	DET
bjpt-78750	130	2	largest	large	ADJ
bjpt-78750	130	3	scaffold	scaffold	NOUN
bjpt-78750	130	4	reached	reach	VERB
bjpt-78750	130	5	a	a	DET
bjpt-78750	130	6	length	length	NOUN
bjpt-78750	130	7	of	of	ADP
bjpt-78750	130	8	96,620	96,620	NUM
bjpt-78750	130	9	bp	bp	NOUN
bjpt-78750	130	10	.	.	PUNCT
bjpt-78750	131	1	the	the	DET
bjpt-78750	131	2	assembly	assembly	NOUN
bjpt-78750	131	3	achieved	achieve	VERB
bjpt-78750	131	4	a	a	DET
bjpt-78750	131	5	total	total	ADJ
bjpt-78750	131	6	length	length	NOUN
bjpt-78750	131	7	of	of	ADP
bjpt-78750	131	8	285,845,886	285,845,886	NUM
bjpt-78750	131	9	bp	bp	NOUN
bjpt-78750	131	10	,	,	PUNCT
bjpt-78750	131	11	with	with	ADP
bjpt-78750	131	12	a	a	DET
bjpt-78750	131	13	gc	gc	PROPN
bjpt-78750	131	14	content	content	NOUN
bjpt-78750	131	15	of	of	ADP
bjpt-78750	131	16	36.33	36.33	NUM
bjpt-78750	131	17	%	%	NOUN
bjpt-78750	131	18	.	.	PUNCT
bjpt-78750	132	1	the	the	DET
bjpt-78750	132	2	n50	n50	NOUN
bjpt-78750	132	3	was	be	AUX
bjpt-78750	132	4	9,805	9,805	NUM
bjpt-78750	132	5	bp	bp	PROPN
bjpt-78750	132	6	,	,	PUNCT
bjpt-78750	132	7	and	and	CCONJ
bjpt-78750	132	8	the	the	DET
bjpt-78750	132	9	l50	l50	NOUN
bjpt-78750	132	10	was	be	AUX
bjpt-78750	132	11	8,186	8,186	NUM
bjpt-78750	132	12	bp	bp	NOUN
bjpt-78750	132	13	,	,	PUNCT
bjpt-78750	132	14	indicating	indicate	VERB
bjpt-78750	132	15	moderate	moderate	ADJ
bjpt-78750	132	16	continuity	continuity	NOUN
bjpt-78750	132	17	.	.	PUNCT
bjpt-78750	133	1	the	the	DET
bjpt-78750	133	2	aun	aun	PROPN
bjpt-78750	133	3	was	be	AUX
bjpt-78750	133	4	12,948.7	12,948.7	NUM
bjpt-78750	133	5	bp	bp	PROPN
bjpt-78750	133	6	,	,	PUNCT
bjpt-78750	133	7	reflecting	reflect	VERB
bjpt-78750	133	8	the	the	DET
bjpt-78750	133	9	overall	overall	ADJ
bjpt-78750	133	10	quality	quality	NOUN
bjpt-78750	133	11	of	of	ADP
bjpt-78750	133	12	the	the	DET
bjpt-78750	133	13	assembly	assembly	NOUN
bjpt-78750	133	14	.	.	PUNCT
bjpt-78750	134	1	additionally	additionally	ADV
bjpt-78750	134	2	,	,	PUNCT
bjpt-78750	134	3	there	there	PRON
bjpt-78750	134	4	were	be	VERB
bjpt-78750	134	5	18.89	18.89	NUM
bjpt-78750	134	6	ns	ns	NUM
bjpt-78750	134	7	per	per	ADP
bjpt-78750	134	8	100	100	NUM
bjpt-78750	134	9	kbp	kbp	NOUN
bjpt-78750	134	10	,	,	PUNCT
bjpt-78750	134	11	indicating	indicate	VERB
bjpt-78750	134	12	some	some	DET
bjpt-78750	134	13	unresolved	unresolved	ADJ
bjpt-78750	134	14	regions	region	NOUN
bjpt-78750	134	15	,	,	PUNCT
bjpt-78750	134	16	which	which	PRON
bjpt-78750	134	17	are	be	AUX
bjpt-78750	134	18	typical	typical	ADJ
bjpt-78750	134	19	in	in	ADP
bjpt-78750	134	20	draft	draft	NOUN
bjpt-78750	134	21	genome	genome	NOUN
bjpt-78750	134	22	assemblies	assembly	NOUN
bjpt-78750	134	23	.	.	PUNCT
bjpt-78750	135	1	these	these	DET
bjpt-78750	135	2	metrics	metric	NOUN
bjpt-78750	135	3	collectively	collectively	ADV
bjpt-78750	135	4	highlighted	highlight	VERB
bjpt-78750	135	5	a	a	DET
bjpt-78750	135	6	robust	robust	ADJ
bjpt-78750	135	7	scaffold	scaffold	NOUN
bjpt-78750	135	8	assembly	assembly	NOUN
bjpt-78750	135	9	with	with	ADP
bjpt-78750	135	10	potential	potential	NOUN
bjpt-78750	135	11	for	for	ADP
bjpt-78750	135	12	further	further	ADJ
bjpt-78750	135	13	refinement	refinement	NOUN
bjpt-78750	135	14	.	.	PUNCT
bjpt-78750	136	1	the	the	DET
bjpt-78750	136	2	quality	quality	NOUN
bjpt-78750	136	3	of	of	ADP
bjpt-78750	136	4	the	the	DET
bjpt-78750	136	5	genome	genome	NOUN
bjpt-78750	136	6	assembly	assembly	NOUN
bjpt-78750	136	7	was	be	AUX
bjpt-78750	136	8	evaluated	evaluate	VERB
bjpt-78750	136	9	using	use	VERB
bjpt-78750	136	10	busco	busco	PROPN
bjpt-78750	136	11	(	(	PUNCT
bjpt-78750	136	12	benchmarking	benchmarke	VERB
bjpt-78750	136	13	universal	universal	ADJ
bjpt-78750	136	14	single	single	ADJ
bjpt-78750	136	15	-	-	PUNCT
bjpt-78750	136	16	copy	copy	NOUN
bjpt-78750	136	17	orthologs	ortholog	NOUN
bjpt-78750	136	18	)	)	PUNCT
bjpt-78750	136	19	,	,	PUNCT
bjpt-78750	136	20	which	which	PRON
bjpt-78750	136	21	assesses	assess	VERB
bjpt-78750	136	22	genome	genome	NOUN
bjpt-78750	136	23	completeness	completeness	NOUN
bjpt-78750	136	24	based	base	VERB
bjpt-78750	136	25	on	on	ADP
bjpt-78750	136	26	the	the	DET
bjpt-78750	136	27	presence	presence	NOUN
bjpt-78750	136	28	of	of	ADP
bjpt-78750	136	29	conserved	conserve	VERB
bjpt-78750	136	30	orthologous	orthologous	ADJ
bjpt-78750	136	31	genes	gene	NOUN
bjpt-78750	136	32	.	.	PUNCT
bjpt-78750	137	1	the	the	DET
bjpt-78750	137	2	analysis	analysis	NOUN
bjpt-78750	137	3	revealed	reveal	VERB
bjpt-78750	137	4	that	that	SCONJ
bjpt-78750	137	5	the	the	DET
bjpt-78750	137	6	assembly	assembly	NOUN
bjpt-78750	137	7	contained	contain	VERB
bjpt-78750	137	8	269	269	NUM
bjpt-78750	137	9	complete	complete	ADJ
bjpt-78750	137	10	buscos	busco	NOUN
bjpt-78750	137	11	(	(	PUNCT
bjpt-78750	137	12	c	c	NOUN
bjpt-78750	137	13	)	)	PUNCT
bjpt-78750	137	14	,	,	PUNCT
bjpt-78750	137	15	representing	represent	VERB
bjpt-78750	137	16	63.29	63.29	NUM
bjpt-78750	137	17	%	%	NOUN
bjpt-78750	137	18	of	of	ADP
bjpt-78750	137	19	the	the	DET
bjpt-78750	137	20	total	total	NOUN
bjpt-78750	137	21	searched	search	VERB
bjpt-78750	137	22	busco	busco	PROPN
bjpt-78750	137	23	groups	group	NOUN
bjpt-78750	137	24	(	(	PUNCT
bjpt-78750	137	25	table	table	NOUN
bjpt-78750	137	26	4	4	NUM
bjpt-78750	137	27	)	)	PUNCT
bjpt-78750	137	28	.	.	PUNCT
bjpt-78750	138	1	among	among	ADP
bjpt-78750	138	2	these	these	PRON
bjpt-78750	138	3	,	,	PUNCT
bjpt-78750	138	4	264	264	NUM
bjpt-78750	138	5	buscos	busco	NOUN
bjpt-78750	138	6	were	be	AUX
bjpt-78750	138	7	identified	identify	VERB
bjpt-78750	138	8	as	as	ADP
bjpt-78750	138	9	complete	complete	ADJ
bjpt-78750	138	10	and	and	CCONJ
bjpt-78750	138	11	single	single	ADJ
bjpt-78750	138	12	-	-	PUNCT
bjpt-78750	138	13	copy	copy	NOUN
bjpt-78750	138	14	(	(	PUNCT
bjpt-78750	138	15	s	s	NOUN
bjpt-78750	138	16	)	)	PUNCT
bjpt-78750	138	17	,	,	PUNCT
bjpt-78750	138	18	while	while	SCONJ
bjpt-78750	138	19	5	5	NUM
bjpt-78750	138	20	buscos	busco	NOUN
bjpt-78750	138	21	were	be	AUX
bjpt-78750	138	22	complete	complete	ADJ
bjpt-78750	138	23	and	and	CCONJ
bjpt-78750	138	24	duplicated	duplicate	VERB
bjpt-78750	138	25	(	(	PUNCT
bjpt-78750	138	26	d	d	NOUN
bjpt-78750	138	27	)	)	PUNCT
bjpt-78750	138	28	.	.	PUNCT
bjpt-78750	139	1	additionally	additionally	ADV
bjpt-78750	139	2	,	,	PUNCT
bjpt-78750	139	3	143	143	DET
bjpt-78750	139	4	buscos	busco	NOUN
bjpt-78750	139	5	were	be	AUX
bjpt-78750	139	6	classified	classify	VERB
bjpt-78750	139	7	as	as	ADP
bjpt-78750	139	8	fragmented	fragmented	ADJ
bjpt-78750	139	9	(	(	PUNCT
bjpt-78750	139	10	f	f	NOUN
bjpt-78750	139	11	)	)	PUNCT
bjpt-78750	139	12	,	,	PUNCT
bjpt-78750	139	13	and	and	CCONJ
bjpt-78750	139	14	13	13	NUM
bjpt-78750	139	15	buscos	busco	NOUN
bjpt-78750	139	16	were	be	AUX
bjpt-78750	139	17	reported	report	VERB
bjpt-78750	139	18	as	as	ADP
bjpt-78750	139	19	missing	miss	VERB
bjpt-78750	139	20	(	(	PUNCT
bjpt-78750	139	21	m	m	NOUN
bjpt-78750	139	22	)	)	PUNCT
bjpt-78750	139	23	.	.	PUNCT
bjpt-78750	140	1	overall	overall	ADV
bjpt-78750	140	2	,	,	PUNCT
bjpt-78750	140	3	the	the	DET
bjpt-78750	140	4	evaluation	evaluation	NOUN
bjpt-78750	140	5	was	be	AUX
bjpt-78750	140	6	conducted	conduct	VERB
bjpt-78750	140	7	against	against	ADP
bjpt-78750	140	8	425	425	NUM
bjpt-78750	140	9	busco	busco	ADJ
bjpt-78750	140	10	groups	group	NOUN
bjpt-78750	140	11	.	.	PUNCT
bjpt-78750	141	1	the	the	DET
bjpt-78750	141	2	assembly	assembly	NOUN
bjpt-78750	141	3	statistics	statistic	NOUN
bjpt-78750	141	4	further	far	ADV
bjpt-78750	141	5	supported	support	VERB
bjpt-78750	141	6	the	the	DET
bjpt-78750	141	7	busco	busco	PROPN
bjpt-78750	141	8	results	result	NOUN
bjpt-78750	141	9	,	,	PUNCT
bjpt-78750	141	10	highlighting	highlight	VERB
bjpt-78750	141	11	the	the	DET
bjpt-78750	141	12	structural	structural	ADJ
bjpt-78750	141	13	attributes	attribute	NOUN
bjpt-78750	141	14	of	of	ADP
bjpt-78750	141	15	the	the	DET
bjpt-78750	141	16	genome	genome	NOUN
bjpt-78750	141	17	.	.	PUNCT
bjpt-78750	142	1	table	table	NOUN
bjpt-78750	142	2	4	4	NUM
bjpt-78750	142	3	.	.	PUNCT
bjpt-78750	143	1	genome	genome	NOUN
bjpt-78750	143	2	completeness	completeness	NOUN
bjpt-78750	143	3	analysis	analysis	NOUN
bjpt-78750	143	4	using	use	VERB
bjpt-78750	143	5	viridiplantae	viridiplantae	ADJ
bjpt-78750	143	6	database	database	NOUN
bjpt-78750	143	7	in	in	ADP
bjpt-78750	143	8	busco	busco	PROPN
bjpt-78750	143	9	module	module	NOUN
bjpt-78750	143	10	of	of	ADP
bjpt-78750	143	11	game	game	NOUN
bjpt-78750	143	12	v1	v1	PROPN
bjpt-78750	143	13	.	.	PUNCT
bjpt-78750	144	1	busco	busco	PROPN
bjpt-78750	144	2	results	result	VERB
bjpt-78750	144	3	complete	complete	ADJ
bjpt-78750	144	4	buscos	busco	NOUN
bjpt-78750	144	5	(	(	PUNCT
bjpt-78750	144	6	c	c	NOUN
bjpt-78750	144	7	)	)	PUNCT
bjpt-78750	144	8	269	269	NUM
bjpt-78750	144	9	complete	complete	ADJ
bjpt-78750	144	10	and	and	CCONJ
bjpt-78750	144	11	single	single	ADJ
bjpt-78750	144	12	-	-	PUNCT
bjpt-78750	144	13	copy	copy	NOUN
bjpt-78750	144	14	buscos	busco	NOUN
bjpt-78750	144	15	(	(	PUNCT
bjpt-78750	144	16	s	s	NOUN
bjpt-78750	144	17	)	)	PUNCT
bjpt-78750	144	18	264	264	NUM
bjpt-78750	144	19	complete	complete	ADJ
bjpt-78750	144	20	and	and	CCONJ
bjpt-78750	144	21	duplicated	duplicate	VERB
bjpt-78750	144	22	buscos	busco	NOUN
bjpt-78750	144	23	(	(	PUNCT
bjpt-78750	144	24	d	d	NOUN
bjpt-78750	144	25	)	)	PUNCT
bjpt-78750	144	26	5	5	NUM
bjpt-78750	144	27	fragmented	fragmented	ADJ
bjpt-78750	144	28	buscos	busco	NOUN
bjpt-78750	144	29	(	(	PUNCT
bjpt-78750	144	30	f	f	X
bjpt-78750	144	31	)	)	PUNCT
bjpt-78750	144	32	143	143	NUM
bjpt-78750	144	33	missing	miss	VERB
bjpt-78750	144	34	buscos	busco	NOUN
bjpt-78750	144	35	(	(	PUNCT
bjpt-78750	144	36	m	m	NOUN
bjpt-78750	144	37	)	)	PUNCT
bjpt-78750	144	38	13	13	NUM
bjpt-78750	144	39	total	total	NOUN
bjpt-78750	144	40	busco	busco	PROPN
bjpt-78750	144	41	groups	group	NOUN
bjpt-78750	144	42	searched	search	VERB
bjpt-78750	144	43	425	425	NUM
bjpt-78750	144	44	assembly	assembly	NOUN
bjpt-78750	144	45	statistics	statistic	NOUN
bjpt-78750	144	46	number	number	NOUN
bjpt-78750	144	47	of	of	ADP
bjpt-78750	144	48	scaffolds	scaffold	NOUN
bjpt-78750	144	49	341893	341893	NUM
bjpt-78750	144	50	number	number	NOUN
bjpt-78750	144	51	of	of	ADP
bjpt-78750	144	52	contigs	contig	NOUN
bjpt-78750	144	53	341893	341893	NUM
bjpt-78750	144	54	total	total	ADJ
bjpt-78750	144	55	length	length	NOUN
bjpt-78750	144	56	320381369	320381369	NUM
bjpt-78750	144	57	percent	percent	NOUN
bjpt-78750	144	58	gaps	gap	VERB
bjpt-78750	144	59	0.000	0.000	NUM
bjpt-78750	144	60	%	%	NOUN
bjpt-78750	144	61	scaffold	scaffold	NOUN
bjpt-78750	144	62	n50	n50	NOUN
bjpt-78750	144	63	15	15	NUM
bjpt-78750	144	64	kb	kb	PROPN
bjpt-78750	144	65	contigs	contig	NOUN
bjpt-78750	144	66	n50	n50	PROPN
bjpt-78750	144	67	15	15	NUM
bjpt-78750	144	68	kb	kb	PROPN
bjpt-78750	145	1	the	the	DET
bjpt-78750	145	2	total	total	ADJ
bjpt-78750	145	3	length	length	NOUN
bjpt-78750	145	4	of	of	ADP
bjpt-78750	145	5	the	the	DET
bjpt-78750	145	6	assembly	assembly	NOUN
bjpt-78750	145	7	was	be	AUX
bjpt-78750	145	8	320,381,369	320,381,369	NUM
bjpt-78750	145	9	bp	bp	NOUN
bjpt-78750	145	10	,	,	PUNCT
bjpt-78750	145	11	distributed	distribute	VERB
bjpt-78750	145	12	across	across	ADP
bjpt-78750	145	13	341,893	341,893	NUM
bjpt-78750	145	14	contigs	contig	NOUN
bjpt-78750	145	15	,	,	PUNCT
bjpt-78750	145	16	with	with	ADP
bjpt-78750	145	17	no	no	DET
bjpt-78750	145	18	gaps	gap	NOUN
bjpt-78750	145	19	detected	detect	VERB
bjpt-78750	145	20	(	(	PUNCT
bjpt-78750	145	21	0.000	0.000	NUM
bjpt-78750	145	22	%	%	NOUN
bjpt-78750	145	23	gaps	gap	NOUN
bjpt-78750	145	24	)	)	PUNCT
bjpt-78750	145	25	.	.	PUNCT
bjpt-78750	146	1	the	the	DET
bjpt-78750	146	2	contig	contig	PROPN
bjpt-78750	146	3	n50	n50	PROPN
bjpt-78750	146	4	and	and	CCONJ
bjpt-78750	146	5	scaffold	scaffold	NOUN
bjpt-78750	146	6	n50	n50	NOUN
bjpt-78750	146	7	values	value	NOUN
bjpt-78750	146	8	were	be	AUX
bjpt-78750	146	9	both	both	PRON
bjpt-78750	146	10	15	15	NUM
bjpt-78750	146	11	kb	kb	PROPN
bjpt-78750	146	12	,	,	PUNCT
bjpt-78750	146	13	indicating	indicate	VERB
bjpt-78750	146	14	that	that	SCONJ
bjpt-78750	146	15	half	half	NOUN
bjpt-78750	146	16	of	of	ADP
bjpt-78750	146	17	the	the	DET
bjpt-78750	146	18	total	total	ADJ
bjpt-78750	146	19	genome	genome	NOUN
bjpt-78750	146	20	length	length	NOUN
bjpt-78750	146	21	was	be	AUX
bjpt-78750	146	22	covered	cover	VERB
bjpt-78750	146	23	by	by	ADP
bjpt-78750	146	24	contigs	contig	NOUN
bjpt-78750	146	25	or	or	CCONJ
bjpt-78750	146	26	scaffolds	scaffold	NOUN
bjpt-78750	146	27	of	of	ADP
bjpt-78750	146	28	this	this	DET
bjpt-78750	146	29	length	length	NOUN
bjpt-78750	146	30	or	or	CCONJ
bjpt-78750	146	31	longer	long	ADV
bjpt-78750	146	32	.	.	PUNCT
bjpt-78750	147	1	these	these	DET
bjpt-78750	147	2	results	result	NOUN
bjpt-78750	147	3	demonstrate	demonstrate	VERB
bjpt-78750	147	4	a	a	DET
bjpt-78750	147	5	moderate	moderate	ADJ
bjpt-78750	147	6	level	level	NOUN
bjpt-78750	147	7	of	of	ADP
bjpt-78750	147	8	genome	genome	NOUN
bjpt-78750	147	9	completeness	completeness	NOUN
bjpt-78750	147	10	and	and	CCONJ
bjpt-78750	147	11	structural	structural	ADJ
bjpt-78750	147	12	integrity	integrity	NOUN
bjpt-78750	147	13	,	,	PUNCT
bjpt-78750	147	14	emphasizing	emphasize	VERB
bjpt-78750	147	15	the	the	DET
bjpt-78750	147	16	assembly	assembly	NOUN
bjpt-78750	147	17	's	's	PART
bjpt-78750	147	18	suitability	suitability	NOUN
bjpt-78750	147	19	for	for	ADP
bjpt-78750	147	20	downstream	downstream	ADJ
bjpt-78750	147	21	analyses	analysis	NOUN
bjpt-78750	147	22	such	such	ADJ
bjpt-78750	147	23	as	as	ADP
bjpt-78750	147	24	gene	gene	NOUN
bjpt-78750	147	25	annotation	annotation	NOUN
bjpt-78750	147	26	genomic	genomic	NOUN
bjpt-78750	147	27	analysis	analysis	NOUN
bjpt-78750	147	28	made	make	VERB
bjpt-78750	147	29	easy	easy	ADJ
bjpt-78750	147	30	(	(	PUNCT
bjpt-78750	147	31	game	game	NOUN
bjpt-78750	147	32	v1	v1	NOUN
bjpt-78750	147	33	):	):	PUNCT
bjpt-78750	147	34	an	an	DET
bjpt-78750	147	35	automated	automate	VERB
bjpt-78750	147	36	software	software	NOUN
bjpt-78750	147	37	233	233	NUM
bjpt-78750	147	38	and	and	CCONJ
bjpt-78750	147	39	functional	functional	ADJ
bjpt-78750	147	40	studies	study	NOUN
bjpt-78750	147	41	.	.	PUNCT
bjpt-78750	148	1	the	the	DET
bjpt-78750	148	2	presence	presence	NOUN
bjpt-78750	148	3	of	of	ADP
bjpt-78750	148	4	complete	complete	ADJ
bjpt-78750	148	5	single	single	ADJ
bjpt-78750	148	6	-	-	PUNCT
bjpt-78750	148	7	copy	copy	NOUN
bjpt-78750	148	8	buscos	buscos	PROPN
bjpt-78750	148	9	suggests	suggest	VERB
bjpt-78750	148	10	a	a	DET
bjpt-78750	148	11	significant	significant	ADJ
bjpt-78750	148	12	representation	representation	NOUN
bjpt-78750	148	13	of	of	ADP
bjpt-78750	148	14	the	the	DET
bjpt-78750	148	15	essential	essential	ADJ
bjpt-78750	148	16	genes	gene	NOUN
bjpt-78750	148	17	within	within	ADP
bjpt-78750	148	18	the	the	DET
bjpt-78750	148	19	assembly	assembly	NOUN
bjpt-78750	148	20	,	,	PUNCT
bjpt-78750	148	21	while	while	SCONJ
bjpt-78750	148	22	the	the	DET
bjpt-78750	148	23	fragmented	fragmented	ADJ
bjpt-78750	148	24	and	and	CCONJ
bjpt-78750	148	25	missing	miss	VERB
bjpt-78750	148	26	buscos	busco	NOUN
bjpt-78750	148	27	highlight	highlight	NOUN
bjpt-78750	148	28	areas	area	NOUN
bjpt-78750	148	29	for	for	ADP
bjpt-78750	148	30	potential	potential	ADJ
bjpt-78750	148	31	improvement	improvement	NOUN
bjpt-78750	148	32	in	in	ADP
bjpt-78750	148	33	assembly	assembly	NOUN
bjpt-78750	148	34	quality	quality	NOUN
bjpt-78750	148	35	(	(	PUNCT
bjpt-78750	148	36	manni	manni	PROPN
bjpt-78750	148	37	et	et	PROPN
bjpt-78750	148	38	al	al	PROPN
bjpt-78750	148	39	.	.	PROPN
bjpt-78750	148	40	,	,	PUNCT
bjpt-78750	148	41	2021	2021	NUM
bjpt-78750	148	42	)	)	PUNCT
bjpt-78750	148	43	.	.	PUNCT
bjpt-78750	149	1	in	in	ADP
bjpt-78750	149	2	a	a	DET
bjpt-78750	149	3	recent	recent	ADJ
bjpt-78750	149	4	study	study	NOUN
bjpt-78750	149	5	of	of	ADP
bjpt-78750	149	6	cymbopogon	cymbopogon	PROPN
bjpt-78750	149	7	citratus	citratus	PROPN
bjpt-78750	149	8	l.	l.	PROPN
bjpt-78750	149	9	nuclear	nuclear	PROPN
bjpt-78750	149	10	genome	genome	NOUN
bjpt-78750	149	11	,	,	PUNCT
bjpt-78750	149	12	complete	complete	ADJ
bjpt-78750	149	13	buscos	busco	NOUN
bjpt-78750	149	14	were	be	AUX
bjpt-78750	149	15	recorded	record	VERB
bjpt-78750	149	16	as	as	ADP
bjpt-78750	149	17	60.90	60.90	NUM
bjpt-78750	149	18	%	%	NOUN
bjpt-78750	149	19	and	and	CCONJ
bjpt-78750	149	20	missing	missing	ADJ
bjpt-78750	149	21	buscos	busco	NOUN
bjpt-78750	149	22	were	be	AUX
bjpt-78750	149	23	noted	note	VERB
bjpt-78750	149	24	as	as	ADP
bjpt-78750	149	25	17.7	17.7	NUM
bjpt-78750	149	26	%	%	NOUN
bjpt-78750	149	27	(	(	PUNCT
bjpt-78750	149	28	chakravartty	chakravartty	NOUN
bjpt-78750	149	29	and	and	CCONJ
bjpt-78750	149	30	neelapu	neelapu	PROPN
bjpt-78750	149	31	,	,	PUNCT
bjpt-78750	149	32	2024	2024	NUM
bjpt-78750	149	33	)	)	PUNCT
bjpt-78750	149	34	.	.	PUNCT
bjpt-78750	150	1	in	in	ADP
bjpt-78750	150	2	the	the	DET
bjpt-78750	150	3	present	present	ADJ
bjpt-78750	150	4	investigation	investigation	NOUN
bjpt-78750	150	5	,	,	PUNCT
bjpt-78750	150	6	game	game	NOUN
bjpt-78750	150	7	v1	v1	NOUN
bjpt-78750	150	8	revealed	reveal	VERB
bjpt-78750	150	9	better	well	ADJ
bjpt-78750	150	10	results	result	NOUN
bjpt-78750	150	11	for	for	ADP
bjpt-78750	150	12	c.	c.	PROPN
bjpt-78750	150	13	pallidicaule	pallidicaule	PROPN
bjpt-78750	150	14	with	with	ADP
bjpt-78750	150	15	complete	complete	ADJ
bjpt-78750	150	16	and	and	CCONJ
bjpt-78750	150	17	missing	missing	ADJ
bjpt-78750	150	18	buscos	busco	NOUN
bjpt-78750	150	19	of	of	ADP
bjpt-78750	150	20	about	about	ADP
bjpt-78750	150	21	63.29	63.29	NUM
bjpt-78750	150	22	%	%	NOUN
bjpt-78750	150	23	and	and	CCONJ
bjpt-78750	150	24	3.06	3.06	NUM
bjpt-78750	150	25	%	%	NOUN
bjpt-78750	150	26	,	,	PUNCT
bjpt-78750	150	27	respectively	respectively	ADV
bjpt-78750	150	28	.	.	PUNCT
bjpt-78750	151	1	this	this	DET
bjpt-78750	151	2	outcome	outcome	NOUN
bjpt-78750	151	3	reinforced	reinforce	VERB
bjpt-78750	151	4	the	the	DET
bjpt-78750	151	5	nuclear	nuclear	ADJ
bjpt-78750	151	6	genome	genome	NOUN
bjpt-78750	151	7	assembly	assembly	NOUN
bjpt-78750	151	8	of	of	ADP
bjpt-78750	151	9	c.	c.	PROPN
bjpt-78750	151	10	pallidicaule	pallidicaule	PROPN
bjpt-78750	151	11	using	use	VERB
bjpt-78750	151	12	game	game	NOUN
bjpt-78750	151	13	v1	v1	NOUN
bjpt-78750	151	14	.	.	PUNCT
bjpt-78750	152	1	functional	functional	ADJ
bjpt-78750	152	2	analysis	analysis	NOUN
bjpt-78750	152	3	using	use	VERB
bjpt-78750	152	4	cog	cog	PROPN
bjpt-78750	152	5	(	(	PUNCT
bjpt-78750	152	6	clusters	cluster	NOUN
bjpt-78750	152	7	of	of	ADP
bjpt-78750	152	8	orthologous	orthologous	ADJ
bjpt-78750	152	9	groups	group	NOUN
bjpt-78750	152	10	)	)	PUNCT
bjpt-78750	152	11	database	database	NOUN
bjpt-78750	152	12	revealed	reveal	VERB
bjpt-78750	152	13	annotations	annotation	NOUN
bjpt-78750	152	14	for	for	ADP
bjpt-78750	152	15	24	24	NUM
bjpt-78750	152	16	different	different	ADJ
bjpt-78750	152	17	categories	category	NOUN
bjpt-78750	152	18	while	while	SCONJ
bjpt-78750	152	19	no	no	DET
bjpt-78750	152	20	records	record	NOUN
bjpt-78750	152	21	were	be	AUX
bjpt-78750	152	22	observed	observe	VERB
bjpt-78750	152	23	for	for	ADP
bjpt-78750	152	24	nuclear	nuclear	ADJ
bjpt-78750	152	25	structure	structure	NOUN
bjpt-78750	152	26	(	(	PUNCT
bjpt-78750	152	27	y	y	NOUN
bjpt-78750	152	28	)	)	PUNCT
bjpt-78750	152	29	and	and	CCONJ
bjpt-78750	152	30	extracellular	extracellular	ADJ
bjpt-78750	152	31	structures	structure	NOUN
bjpt-78750	152	32	(	(	PUNCT
bjpt-78750	152	33	w	w	NOUN
bjpt-78750	152	34	)	)	PUNCT
bjpt-78750	152	35	(	(	PUNCT
bjpt-78750	152	36	fig	fig	NOUN
bjpt-78750	152	37	.	.	PUNCT
bjpt-78750	153	1	3a	3a	NUM
bjpt-78750	153	2	)	)	PUNCT
bjpt-78750	153	3	.	.	PUNCT
bjpt-78750	154	1	fig	fig	NOUN
bjpt-78750	154	2	.	.	PUNCT
bjpt-78750	155	1	3	3	X
bjpt-78750	155	2	.	.	X
bjpt-78750	155	3	functional	functional	ADJ
bjpt-78750	155	4	annotation	annotation	NOUN
bjpt-78750	155	5	of	of	ADP
bjpt-78750	155	6	the	the	DET
bjpt-78750	155	7	nuclear	nuclear	ADJ
bjpt-78750	155	8	genome	genome	NOUN
bjpt-78750	155	9	of	of	ADP
bjpt-78750	155	10	c.	c.	PROPN
bjpt-78750	155	11	pallidicaule	pallidicaule	PROPN
bjpt-78750	155	12	.	.	PUNCT
bjpt-78750	156	1	a.	a.	NOUN
bjpt-78750	156	2	annotation	annotation	NOUN
bjpt-78750	156	3	based	base	VERB
bjpt-78750	156	4	on	on	ADP
bjpt-78750	156	5	cog	cog	PROPN
bjpt-78750	156	6	identifiers	identifier	NOUN
bjpt-78750	156	7	,	,	PUNCT
bjpt-78750	156	8	b.	b.	PROPN
bjpt-78750	156	9	annotation	annotation	NOUN
bjpt-78750	156	10	based	base	VERB
bjpt-78750	156	11	on	on	ADP
bjpt-78750	156	12	gene	gene	NOUN
bjpt-78750	156	13	ontology	ontology	NOUN
bjpt-78750	156	14	.	.	PUNCT
bjpt-78750	157	1	234	234	NUM
bjpt-78750	157	2	ali	ali	PROPN
bjpt-78750	157	3	et	et	PROPN
bjpt-78750	157	4	al	al	PROPN
bjpt-78750	157	5	.	.	PUNCT
bjpt-78750	158	1	the	the	DET
bjpt-78750	158	2	highest	high	ADJ
bjpt-78750	158	3	number	number	NOUN
bjpt-78750	158	4	of	of	ADP
bjpt-78750	158	5	genes	gene	NOUN
bjpt-78750	158	6	(	(	PUNCT
bjpt-78750	158	7	890	890	NUM
bjpt-78750	158	8	)	)	PUNCT
bjpt-78750	158	9	were	be	AUX
bjpt-78750	158	10	predicted	predict	VERB
bjpt-78750	158	11	to	to	PART
bjpt-78750	158	12	be	be	AUX
bjpt-78750	158	13	involved	involve	VERB
bjpt-78750	158	14	in	in	ADP
bjpt-78750	158	15	the	the	DET
bjpt-78750	158	16	replication	replication	NOUN
bjpt-78750	158	17	,	,	PUNCT
bjpt-78750	158	18	recombination	recombination	NOUN
bjpt-78750	158	19	,	,	PUNCT
bjpt-78750	158	20	and	and	CCONJ
bjpt-78750	158	21	repairing	repair	VERB
bjpt-78750	158	22	processes	process	NOUN
bjpt-78750	158	23	.	.	PUNCT
bjpt-78750	159	1	the	the	DET
bjpt-78750	159	2	lowest	low	ADJ
bjpt-78750	159	3	number	number	NOUN
bjpt-78750	159	4	of	of	ADP
bjpt-78750	159	5	genes	gene	NOUN
bjpt-78750	159	6	(	(	PUNCT
bjpt-78750	159	7	3	3	X
bjpt-78750	159	8	)	)	PUNCT
bjpt-78750	159	9	were	be	AUX
bjpt-78750	159	10	predicted	predict	VERB
bjpt-78750	159	11	to	to	PART
bjpt-78750	159	12	have	have	VERB
bjpt-78750	159	13	cytoskeleton	cytoskeleton	NOUN
bjpt-78750	159	14	-	-	PUNCT
bjpt-78750	159	15	related	relate	VERB
bjpt-78750	159	16	functions	function	NOUN
bjpt-78750	159	17	.	.	PUNCT
bjpt-78750	160	1	in	in	ADP
bjpt-78750	160	2	c.	c.	PROPN
bjpt-78750	160	3	pallidicaule	pallidicaule	PROPN
bjpt-78750	160	4	,	,	PUNCT
bjpt-78750	160	5	the	the	DET
bjpt-78750	160	6	cytoskeleton	cytoskeleton	NOUN
bjpt-78750	160	7	might	might	AUX
bjpt-78750	160	8	play	play	VERB
bjpt-78750	160	9	crucial	crucial	ADJ
bjpt-78750	160	10	role	role	NOUN
bjpt-78750	160	11	in	in	ADP
bjpt-78750	160	12	cellular	cellular	ADJ
bjpt-78750	160	13	processes	process	NOUN
bjpt-78750	160	14	such	such	ADJ
bjpt-78750	160	15	as	as	ADP
bjpt-78750	160	16	cell	cell	NOUN
bjpt-78750	160	17	division	division	NOUN
bjpt-78750	160	18	,	,	PUNCT
bjpt-78750	160	19	intracellular	intracellular	ADJ
bjpt-78750	160	20	transport	transport	NOUN
bjpt-78750	160	21	,	,	PUNCT
bjpt-78750	160	22	and	and	CCONJ
bjpt-78750	160	23	maintaining	maintain	VERB
bjpt-78750	160	24	cell	cell	NOUN
bjpt-78750	160	25	shape	shape	NOUN
bjpt-78750	160	26	.	.	PUNCT
bjpt-78750	161	1	identifying	identify	VERB
bjpt-78750	161	2	cytoskeleton	cytoskeleton	NOUN
bjpt-78750	161	3	-	-	PUNCT
bjpt-78750	161	4	related	relate	VERB
bjpt-78750	161	5	genes	gene	NOUN
bjpt-78750	161	6	provides	provide	VERB
bjpt-78750	161	7	insights	insight	NOUN
bjpt-78750	161	8	into	into	ADP
bjpt-78750	161	9	these	these	DET
bjpt-78750	161	10	critical	critical	ADJ
bjpt-78750	161	11	physiological	physiological	ADJ
bjpt-78750	161	12	functions	function	NOUN
bjpt-78750	161	13	.	.	PUNCT
bjpt-78750	162	1	gene	gene	NOUN
bjpt-78750	162	2	ontology	ontology	NOUN
bjpt-78750	162	3	(	(	PUNCT
bjpt-78750	162	4	go)-based	go)-base	VERB
bjpt-78750	162	5	analysis	analysis	NOUN
bjpt-78750	162	6	categorized	categorize	VERB
bjpt-78750	162	7	the	the	DET
bjpt-78750	162	8	nuclear	nuclear	ADJ
bjpt-78750	162	9	genome	genome	NOUN
bjpt-78750	162	10	into	into	ADP
bjpt-78750	162	11	three	three	NUM
bjpt-78750	162	12	major	major	ADJ
bjpt-78750	162	13	functional	functional	ADJ
bjpt-78750	162	14	groups	group	NOUN
bjpt-78750	162	15	:	:	PUNCT
bjpt-78750	162	16	biological	biological	ADJ
bjpt-78750	162	17	processes	process	NOUN
bjpt-78750	162	18	,	,	PUNCT
bjpt-78750	162	19	cellular	cellular	ADJ
bjpt-78750	162	20	components	component	NOUN
bjpt-78750	162	21	,	,	PUNCT
bjpt-78750	162	22	and	and	CCONJ
bjpt-78750	162	23	molecular	molecular	ADJ
bjpt-78750	162	24	functions	function	NOUN
bjpt-78750	162	25	,	,	PUNCT
bjpt-78750	162	26	providing	provide	VERB
bjpt-78750	162	27	comprehensive	comprehensive	ADJ
bjpt-78750	162	28	insights	insight	NOUN
bjpt-78750	162	29	into	into	ADP
bjpt-78750	162	30	the	the	DET
bjpt-78750	162	31	functional	functional	ADJ
bjpt-78750	162	32	roles	role	NOUN
bjpt-78750	162	33	of	of	ADP
bjpt-78750	162	34	the	the	DET
bjpt-78750	162	35	predicted	predict	VERB
bjpt-78750	162	36	genes	gene	NOUN
bjpt-78750	162	37	.	.	PUNCT
bjpt-78750	163	1	a	a	DET
bjpt-78750	163	2	total	total	NOUN
bjpt-78750	163	3	of	of	ADP
bjpt-78750	163	4	23,806	23,806	NUM
bjpt-78750	163	5	genes	gene	NOUN
bjpt-78750	163	6	were	be	AUX
bjpt-78750	163	7	identified	identify	VERB
bjpt-78750	163	8	,	,	PUNCT
bjpt-78750	163	9	distributed	distribute	VERB
bjpt-78750	163	10	across	across	ADP
bjpt-78750	163	11	cellular	cellular	ADJ
bjpt-78750	163	12	components	component	NOUN
bjpt-78750	163	13	(	(	PUNCT
bjpt-78750	163	14	13,052	13,052	NUM
bjpt-78750	163	15	genes	gene	NOUN
bjpt-78750	163	16	)	)	PUNCT
bjpt-78750	163	17	,	,	PUNCT
bjpt-78750	163	18	molecular	molecular	ADJ
bjpt-78750	163	19	functions	function	NOUN
bjpt-78750	163	20	(	(	PUNCT
bjpt-78750	163	21	8,517	8,517	NUM
bjpt-78750	163	22	genes	gene	NOUN
bjpt-78750	163	23	)	)	PUNCT
bjpt-78750	163	24	,	,	PUNCT
bjpt-78750	163	25	and	and	CCONJ
bjpt-78750	163	26	biological	biological	ADJ
bjpt-78750	163	27	processes	process	NOUN
bjpt-78750	163	28	(	(	PUNCT
bjpt-78750	163	29	2,737	2,737	NUM
bjpt-78750	163	30	genes	gene	NOUN
bjpt-78750	163	31	)	)	PUNCT
bjpt-78750	163	32	(	(	PUNCT
bjpt-78750	163	33	fig	fig	NOUN
bjpt-78750	163	34	.	.	PUNCT
bjpt-78750	164	1	3b	3b	NUM
bjpt-78750	164	2	)	)	PUNCT
bjpt-78750	164	3	.	.	PUNCT
bjpt-78750	165	1	within	within	ADP
bjpt-78750	165	2	the	the	DET
bjpt-78750	165	3	cellular	cellular	ADJ
bjpt-78750	165	4	component	component	NOUN
bjpt-78750	165	5	category	category	NOUN
bjpt-78750	165	6	,	,	PUNCT
bjpt-78750	165	7	the	the	DET
bjpt-78750	165	8	nucleus	nucleus	NOUN
bjpt-78750	165	9	exhibited	exhibit	VERB
bjpt-78750	165	10	the	the	DET
bjpt-78750	165	11	highest	high	ADJ
bjpt-78750	165	12	representation	representation	NOUN
bjpt-78750	165	13	with	with	ADP
bjpt-78750	165	14	2,736	2,736	NUM
bjpt-78750	165	15	genes	gene	NOUN
bjpt-78750	165	16	,	,	PUNCT
bjpt-78750	165	17	while	while	SCONJ
bjpt-78750	165	18	the	the	DET
bjpt-78750	165	19	plasmodesma	plasmodesma	NOUN
bjpt-78750	165	20	showed	show	VERB
bjpt-78750	165	21	the	the	DET
bjpt-78750	165	22	lowest	low	ADJ
bjpt-78750	165	23	with	with	ADP
bjpt-78750	165	24	585	585	NUM
bjpt-78750	165	25	genes	gene	NOUN
bjpt-78750	165	26	.	.	PUNCT
bjpt-78750	166	1	for	for	ADP
bjpt-78750	166	2	molecular	molecular	ADJ
bjpt-78750	166	3	functions	function	NOUN
bjpt-78750	166	4	,	,	PUNCT
bjpt-78750	166	5	atp	atp	PROPN
bjpt-78750	166	6	binding	binding	PROPN
bjpt-78750	166	7	dominated	dominate	VERB
bjpt-78750	166	8	with	with	ADP
bjpt-78750	166	9	2,220	2,220	NUM
bjpt-78750	166	10	genes	gene	NOUN
bjpt-78750	166	11	,	,	PUNCT
bjpt-78750	166	12	underscoring	underscore	VERB
bjpt-78750	166	13	its	its	PRON
bjpt-78750	166	14	critical	critical	ADJ
bjpt-78750	166	15	role	role	NOUN
bjpt-78750	166	16	in	in	ADP
bjpt-78750	166	17	energy	energy	NOUN
bjpt-78750	166	18	-	-	PUNCT
bjpt-78750	166	19	dependent	dependent	ADJ
bjpt-78750	166	20	cellular	cellular	ADJ
bjpt-78750	166	21	processes	process	NOUN
bjpt-78750	166	22	,	,	PUNCT
bjpt-78750	166	23	whereas	whereas	SCONJ
bjpt-78750	166	24	rna	rna	NOUN
bjpt-78750	166	25	binding	binding	NOUN
bjpt-78750	166	26	was	be	AUX
bjpt-78750	166	27	the	the	DET
bjpt-78750	166	28	least	least	ADV
bjpt-78750	166	29	represented	represent	VERB
bjpt-78750	166	30	,	,	PUNCT
bjpt-78750	166	31	involving	involve	VERB
bjpt-78750	166	32	493	493	NUM
bjpt-78750	166	33	genes	gene	NOUN
bjpt-78750	166	34	.	.	PUNCT
bjpt-78750	167	1	in	in	ADP
bjpt-78750	167	2	the	the	DET
bjpt-78750	167	3	biological	biological	ADJ
bjpt-78750	167	4	process	process	NOUN
bjpt-78750	167	5	category	category	NOUN
bjpt-78750	167	6	,	,	PUNCT
bjpt-78750	167	7	proteolysis	proteolysis	NOUN
bjpt-78750	167	8	had	have	VERB
bjpt-78750	167	9	the	the	DET
bjpt-78750	167	10	highest	high	ADJ
bjpt-78750	167	11	gene	gene	NOUN
bjpt-78750	167	12	count	count	NOUN
bjpt-78750	167	13	,	,	PUNCT
bjpt-78750	167	14	reflecting	reflect	VERB
bjpt-78750	167	15	its	its	PRON
bjpt-78750	167	16	essential	essential	ADJ
bjpt-78750	167	17	role	role	NOUN
bjpt-78750	167	18	in	in	ADP
bjpt-78750	167	19	protein	protein	NOUN
bjpt-78750	167	20	turnover	turnover	NOUN
bjpt-78750	167	21	and	and	CCONJ
bjpt-78750	167	22	cellular	cellular	ADJ
bjpt-78750	167	23	regulation	regulation	NOUN
bjpt-78750	167	24	,	,	PUNCT
bjpt-78750	167	25	while	while	SCONJ
bjpt-78750	167	26	cell	cell	NOUN
bjpt-78750	167	27	division	division	NOUN
bjpt-78750	167	28	showed	show	VERB
bjpt-78750	167	29	the	the	DET
bjpt-78750	167	30	lowest	low	ADJ
bjpt-78750	167	31	representation	representation	NOUN
bjpt-78750	167	32	.	.	PUNCT
bjpt-78750	168	1	this	this	PRON
bjpt-78750	168	2	go	go	VERB
bjpt-78750	168	3	analysis	analysis	NOUN
bjpt-78750	168	4	highlights	highlight	NOUN
bjpt-78750	168	5	the	the	DET
bjpt-78750	168	6	functional	functional	ADJ
bjpt-78750	168	7	complexity	complexity	NOUN
bjpt-78750	168	8	of	of	ADP
bjpt-78750	168	9	the	the	DET
bjpt-78750	168	10	genome	genome	NOUN
bjpt-78750	168	11	and	and	CCONJ
bjpt-78750	168	12	provides	provide	VERB
bjpt-78750	168	13	valuable	valuable	ADJ
bjpt-78750	168	14	insights	insight	NOUN
bjpt-78750	168	15	into	into	ADP
bjpt-78750	168	16	the	the	DET
bjpt-78750	168	17	biological	biological	ADJ
bjpt-78750	168	18	and	and	CCONJ
bjpt-78750	168	19	molecular	molecular	ADJ
bjpt-78750	168	20	mechanisms	mechanism	NOUN
bjpt-78750	168	21	operating	operate	VERB
bjpt-78750	168	22	within	within	ADP
bjpt-78750	168	23	c.	c.	PROPN
bjpt-78750	168	24	pallidicaule	pallidicaule	PROPN
bjpt-78750	168	25	.	.	PUNCT
bjpt-78750	169	1	pathway	pathway	NOUN
bjpt-78750	169	2	distribution	distribution	NOUN
bjpt-78750	169	3	analysis	analysis	NOUN
bjpt-78750	169	4	using	use	VERB
bjpt-78750	169	5	kegg	kegg	NOUN
bjpt-78750	169	6	database	database	NOUN
bjpt-78750	169	7	unraveled	unravel	VERB
bjpt-78750	169	8	a	a	DET
bjpt-78750	169	9	total	total	NOUN
bjpt-78750	169	10	of	of	ADP
bjpt-78750	169	11	2028	2028	NUM
bjpt-78750	169	12	genes	gene	NOUN
bjpt-78750	169	13	involved	involve	VERB
bjpt-78750	169	14	in	in	ADP
bjpt-78750	169	15	various	various	ADJ
bjpt-78750	169	16	pathways	pathway	NOUN
bjpt-78750	169	17	(	(	PUNCT
bjpt-78750	169	18	fig	fig	NOUN
bjpt-78750	169	19	.	.	PUNCT
bjpt-78750	170	1	4	4	NUM
bjpt-78750	170	2	)	)	PUNCT
bjpt-78750	170	3	.	.	PUNCT
bjpt-78750	171	1	the	the	DET
bjpt-78750	171	2	highest	high	ADJ
bjpt-78750	171	3	number	number	NOUN
bjpt-78750	171	4	of	of	ADP
bjpt-78750	171	5	genes	gene	NOUN
bjpt-78750	171	6	(	(	PUNCT
bjpt-78750	171	7	460	460	NUM
bjpt-78750	171	8	)	)	PUNCT
bjpt-78750	171	9	were	be	AUX
bjpt-78750	171	10	found	find	VERB
bjpt-78750	171	11	to	to	PART
bjpt-78750	171	12	play	play	VERB
bjpt-78750	171	13	functional	functional	ADJ
bjpt-78750	171	14	roles	role	NOUN
bjpt-78750	171	15	in	in	ADP
bjpt-78750	171	16	the	the	DET
bjpt-78750	171	17	protein	protein	NOUN
bjpt-78750	171	18	modification	modification	NOUN
bjpt-78750	171	19	pathways	pathway	NOUN
bjpt-78750	171	20	.	.	PUNCT
bjpt-78750	172	1	the	the	DET
bjpt-78750	172	2	lowest	low	ADJ
bjpt-78750	172	3	gene	gene	NOUN
bjpt-78750	172	4	count	count	NOUN
bjpt-78750	172	5	(	(	PUNCT
bjpt-78750	172	6	35	35	NUM
bjpt-78750	172	7	)	)	PUNCT
bjpt-78750	172	8	was	be	AUX
bjpt-78750	172	9	observed	observe	VERB
bjpt-78750	172	10	in	in	ADP
bjpt-78750	172	11	the	the	DET
bjpt-78750	172	12	pyruvate	pyruvate	NOUN
bjpt-78750	172	13	from	from	ADP
bjpt-78750	172	14	d	d	PROPN
bjpt-78750	172	15	-	-	PUNCT
bjpt-78750	172	16	glyceraldehyde	glyceraldehyde	NOUN
bjpt-78750	172	17	3	3	NUM
bjpt-78750	172	18	-	-	PUNCT
bjpt-78750	172	19	phosphate	phosphate	NOUN
bjpt-78750	172	20	pathway	pathway	NOUN
bjpt-78750	172	21	.	.	PUNCT
bjpt-78750	173	1	a	a	DET
bjpt-78750	173	2	total	total	NOUN
bjpt-78750	173	3	of	of	ADP
bjpt-78750	173	4	335	335	NUM
bjpt-78750	173	5	genes	gene	NOUN
bjpt-78750	173	6	were	be	AUX
bjpt-78750	173	7	involved	involve	VERB
bjpt-78750	173	8	in	in	ADP
bjpt-78750	173	9	the	the	DET
bjpt-78750	173	10	protein	protein	NOUN
bjpt-78750	173	11	ubiquitination	ubiquitination	NOUN
bjpt-78750	173	12	pathway	pathway	NOUN
bjpt-78750	173	13	and	and	CCONJ
bjpt-78750	173	14	another	another	DET
bjpt-78750	173	15	151	151	NUM
bjpt-78750	173	16	genes	gene	NOUN
bjpt-78750	173	17	were	be	AUX
bjpt-78750	173	18	functional	functional	ADJ
bjpt-78750	173	19	in	in	ADP
bjpt-78750	173	20	the	the	DET
bjpt-78750	173	21	amino	amino	NOUN
bjpt-78750	173	22	acid	acid	NOUN
bjpt-78750	173	23	biosynthesis	biosynthesis	NOUN
bjpt-78750	173	24	pathway	pathway	NOUN
bjpt-78750	173	25	.	.	PUNCT
bjpt-78750	174	1	the	the	DET
bjpt-78750	174	2	gene	gene	NOUN
bjpt-78750	174	3	count	count	NOUN
bjpt-78750	174	4	for	for	ADP
bjpt-78750	174	5	carbohydrate	carbohydrate	ADJ
bjpt-78750	174	6	metabolism	metabolism	NOUN
bjpt-78750	174	7	and	and	CCONJ
bjpt-78750	174	8	purine	purine	NOUN
bjpt-78750	174	9	metabolism	metabolism	NOUN
bjpt-78750	174	10	pathways	pathway	NOUN
bjpt-78750	174	11	was	be	AUX
bjpt-78750	174	12	same	same	ADJ
bjpt-78750	174	13	(	(	PUNCT
bjpt-78750	174	14	40	40	NUM
bjpt-78750	174	15	)	)	PUNCT
bjpt-78750	174	16	.	.	PUNCT
bjpt-78750	175	1	in	in	ADP
bjpt-78750	175	2	the	the	DET
bjpt-78750	175	3	same	same	ADJ
bjpt-78750	175	4	way	way	NOUN
bjpt-78750	175	5	,	,	PUNCT
bjpt-78750	175	6	aromatic	aromatic	ADJ
bjpt-78750	175	7	compound	compound	NOUN
bjpt-78750	175	8	metabolism	metabolism	NOUN
bjpt-78750	175	9	,	,	PUNCT
bjpt-78750	175	10	porphyrin	porphyrin	NOUN
bjpt-78750	175	11	-	-	PUNCT
bjpt-78750	175	12	containing	contain	VERB
bjpt-78750	175	13	compound	compound	NOUN
bjpt-78750	175	14	metabolism	metabolism	NOUN
bjpt-78750	175	15	,	,	PUNCT
bjpt-78750	175	16	and	and	CCONJ
bjpt-78750	175	17	fatty	fatty	NOUN
bjpt-78750	175	18	acid	acid	NOUN
bjpt-78750	175	19	biosynthesis	biosynthesis	NOUN
bjpt-78750	175	20	pathways	pathway	NOUN
bjpt-78750	175	21	showed	show	VERB
bjpt-78750	175	22	very	very	ADV
bjpt-78750	175	23	similar	similar	ADJ
bjpt-78750	175	24	gene	gene	NOUN
bjpt-78750	175	25	count	count	NOUN
bjpt-78750	175	26	(	(	PUNCT
bjpt-78750	175	27	37	37	NUM
bjpt-78750	175	28	)	)	PUNCT
bjpt-78750	175	29	.	.	PUNCT
bjpt-78750	176	1	repeatmasker	repeatmasker	VERB
bjpt-78750	176	2	analysis	analysis	NOUN
bjpt-78750	176	3	revealed	reveal	VERB
bjpt-78750	176	4	repetitive	repetitive	ADJ
bjpt-78750	176	5	elements	element	NOUN
bjpt-78750	176	6	spanning	span	VERB
bjpt-78750	176	7	223,973	223,973	NUM
bjpt-78750	176	8	base	base	NOUN
bjpt-78750	176	9	pairs	pair	NOUN
bjpt-78750	176	10	(	(	PUNCT
bjpt-78750	176	11	bp	bp	PROPN
bjpt-78750	176	12	)	)	PUNCT
bjpt-78750	176	13	,	,	PUNCT
bjpt-78750	176	14	representing	represent	VERB
bjpt-78750	176	15	approximately	approximately	ADV
bjpt-78750	176	16	0.069	0.069	NUM
bjpt-78750	176	17	%	%	NOUN
bjpt-78750	176	18	of	of	ADP
bjpt-78750	176	19	the	the	DET
bjpt-78750	176	20	nuclear	nuclear	ADJ
bjpt-78750	176	21	genome	genome	NOUN
bjpt-78750	176	22	.	.	PUNCT
bjpt-78750	177	1	a	a	DET
bjpt-78750	177	2	variety	variety	NOUN
bjpt-78750	177	3	of	of	ADP
bjpt-78750	177	4	repeat	repeat	NOUN
bjpt-78750	177	5	classes	class	NOUN
bjpt-78750	177	6	were	be	AUX
bjpt-78750	177	7	identified	identify	VERB
bjpt-78750	177	8	,	,	PUNCT
bjpt-78750	177	9	each	each	PRON
bjpt-78750	177	10	contributing	contribute	VERB
bjpt-78750	177	11	distinct	distinct	ADJ
bjpt-78750	177	12	lengths	length	NOUN
bjpt-78750	177	13	and	and	CCONJ
bjpt-78750	177	14	gene	gene	NOUN
bjpt-78750	177	15	counts	count	NOUN
bjpt-78750	177	16	(	(	PUNCT
bjpt-78750	177	17	figs	fig	NOUN
bjpt-78750	177	18	5	5	NUM
bjpt-78750	177	19	and	and	CCONJ
bjpt-78750	177	20	6	6	NUM
bjpt-78750	177	21	)	)	PUNCT
bjpt-78750	177	22	.	.	PUNCT
bjpt-78750	178	1	long	long	ADJ
bjpt-78750	178	2	terminal	terminal	ADJ
bjpt-78750	178	3	repeats	repeat	NOUN
bjpt-78750	178	4	(	(	PUNCT
bjpt-78750	178	5	ltrs	ltrs	PROPN
bjpt-78750	178	6	)	)	PUNCT
bjpt-78750	178	7	were	be	AUX
bjpt-78750	178	8	among	among	ADP
bjpt-78750	178	9	the	the	DET
bjpt-78750	178	10	most	most	ADV
bjpt-78750	178	11	prominent	prominent	ADJ
bjpt-78750	178	12	categories	category	NOUN
bjpt-78750	178	13	.	.	PUNCT
bjpt-78750	179	1	4,132	4,132	NUM
bjpt-78750	179	2	ltr	ltr	ADJ
bjpt-78750	179	3	/	/	SYM
bjpt-78750	179	4	copia	copia	PROPN
bjpt-78750	179	5	elements	element	NOUN
bjpt-78750	179	6	were	be	AUX
bjpt-78750	179	7	identified	identify	VERB
bjpt-78750	179	8	,	,	PUNCT
bjpt-78750	179	9	contributing	contribute	VERB
bjpt-78750	179	10	20,230	20,230	NUM
bjpt-78750	179	11	bp	bp	NOUN
bjpt-78750	179	12	(	(	PUNCT
bjpt-78750	179	13	0.006	0.006	NUM
bjpt-78750	179	14	%	%	NOUN
bjpt-78750	179	15	)	)	PUNCT
bjpt-78750	179	16	,	,	PUNCT
bjpt-78750	179	17	while	while	SCONJ
bjpt-78750	179	18	3,947	3,947	NUM
bjpt-78750	179	19	ltr	ltr	ADJ
bjpt-78750	179	20	/	/	SYM
bjpt-78750	179	21	gypsy	gypsy	NOUN
bjpt-78750	179	22	elements	element	NOUN
bjpt-78750	179	23	spanned	span	VERB
bjpt-78750	179	24	23,312	23,312	NUM
bjpt-78750	179	25	bp	bp	PROPN
bjpt-78750	179	26	(	(	PUNCT
bjpt-78750	179	27	0.007	0.007	NUM
bjpt-78750	179	28	%	%	NOUN
bjpt-78750	179	29	)	)	PUNCT
bjpt-78750	179	30	.	.	PUNCT
bjpt-78750	180	1	additional	additional	ADJ
bjpt-78750	180	2	ltr	ltr	ADJ
bjpt-78750	180	3	-	-	PUNCT
bjpt-78750	180	4	related	relate	VERB
bjpt-78750	180	5	elements	element	NOUN
bjpt-78750	180	6	,	,	PUNCT
bjpt-78750	180	7	including	include	VERB
bjpt-78750	180	8	general	general	ADJ
bjpt-78750	180	9	ltr	ltr	ADJ
bjpt-78750	180	10	sequences	sequence	NOUN
bjpt-78750	180	11	,	,	PUNCT
bjpt-78750	180	12	contributed	contribute	VERB
bjpt-78750	180	13	20,575	20,575	NUM
bjpt-78750	180	14	bp	bp	NOUN
bjpt-78750	180	15	(	(	PUNCT
bjpt-78750	180	16	0.006	0.006	NUM
bjpt-78750	180	17	%	%	NOUN
bjpt-78750	180	18	)	)	PUNCT
bjpt-78750	180	19	across	across	ADP
bjpt-78750	180	20	3,184	3,184	NUM
bjpt-78750	180	21	genes	gene	NOUN
bjpt-78750	180	22	.	.	PUNCT
bjpt-78750	181	1	dna	dna	PROPN
bjpt-78750	181	2	transposons	transposon	NOUN
bjpt-78750	181	3	included	include	VERB
bjpt-78750	181	4	267	267	NUM
bjpt-78750	181	5	tir	tir	X
bjpt-78750	181	6	(	(	PUNCT
bjpt-78750	181	7	terminal	terminal	ADJ
bjpt-78750	181	8	inverted	invert	VERB
bjpt-78750	181	9	repeat	repeat	NOUN
bjpt-78750	181	10	)	)	PUNCT
bjpt-78750	181	11	elements	element	NOUN
bjpt-78750	181	12	,	,	PUNCT
bjpt-78750	181	13	covering	cover	VERB
bjpt-78750	181	14	13,231	13,231	NUM
bjpt-78750	181	15	bp	bp	NOUN
bjpt-78750	181	16	(	(	PUNCT
bjpt-78750	181	17	0.004	0.004	NUM
bjpt-78750	181	18	%	%	NOUN
bjpt-78750	181	19	)	)	PUNCT
bjpt-78750	181	20	,	,	PUNCT
bjpt-78750	181	21	and	and	CCONJ
bjpt-78750	181	22	202	202	NUM
bjpt-78750	181	23	helitron	helitron	ADJ
bjpt-78750	181	24	elements	element	NOUN
bjpt-78750	181	25	,	,	PUNCT
bjpt-78750	181	26	spanning	span	VERB
bjpt-78750	181	27	18,502	18,502	NUM
bjpt-78750	181	28	bp	bp	NOUN
bjpt-78750	181	29	(	(	PUNCT
bjpt-78750	181	30	0.006	0.006	NUM
bjpt-78750	181	31	%	%	NOUN
bjpt-78750	181	32	)	)	PUNCT
bjpt-78750	181	33	.	.	PUNCT
bjpt-78750	182	1	smaller	small	ADJ
bjpt-78750	182	2	contributions	contribution	NOUN
bjpt-78750	182	3	were	be	AUX
bjpt-78750	182	4	observed	observe	VERB
bjpt-78750	182	5	from	from	ADP
bjpt-78750	182	6	trim	trim	NOUN
bjpt-78750	182	7	(	(	PUNCT
bjpt-78750	182	8	terminal	terminal	ADJ
bjpt-78750	182	9	repeat	repeat	NOUN
bjpt-78750	182	10	retrotransposons	retrotransposon	NOUN
bjpt-78750	182	11	in	in	ADP
bjpt-78750	182	12	miniature	miniature	ADJ
bjpt-78750	182	13	)	)	PUNCT
bjpt-78750	182	14	elements	element	NOUN
bjpt-78750	182	15	,	,	PUNCT
bjpt-78750	182	16	which	which	PRON
bjpt-78750	182	17	accounted	account	VERB
bjpt-78750	182	18	for	for	ADP
bjpt-78750	182	19	2,268	2,268	NUM
bjpt-78750	182	20	bp	bp	NOUN
bjpt-78750	182	21	(	(	PUNCT
bjpt-78750	182	22	0.001	0.001	NUM
bjpt-78750	182	23	%	%	NOUN
bjpt-78750	182	24	)	)	PUNCT
bjpt-78750	182	25	across	across	ADP
bjpt-78750	182	26	279	279	NUM
bjpt-78750	182	27	genes	gene	NOUN
bjpt-78750	182	28	.	.	PUNCT
bjpt-78750	183	1	unclassified	unclassified	ADJ
bjpt-78750	183	2	repeats	repeat	NOUN
bjpt-78750	183	3	contributed	contribute	VERB
bjpt-78750	183	4	14,773	14,773	NUM
bjpt-78750	183	5	bp	bp	PROPN
bjpt-78750	183	6	(	(	PUNCT
bjpt-78750	183	7	0.005	0.005	NUM
bjpt-78750	183	8	%	%	NOUN
bjpt-78750	183	9	)	)	PUNCT
bjpt-78750	183	10	and	and	CCONJ
bjpt-78750	183	11	were	be	AUX
bjpt-78750	183	12	represented	represent	VERB
bjpt-78750	183	13	by	by	ADP
bjpt-78750	183	14	285	285	NUM
bjpt-78750	183	15	genes	gene	NOUN
bjpt-78750	183	16	.	.	PUNCT
bjpt-78750	184	1	lines	line	NOUN
bjpt-78750	184	2	(	(	PUNCT
bjpt-78750	184	3	long	long	ADV
bjpt-78750	184	4	interspersed	intersperse	VERB
bjpt-78750	184	5	nuclear	nuclear	ADJ
bjpt-78750	184	6	elements	element	NOUN
bjpt-78750	184	7	)	)	PUNCT
bjpt-78750	184	8	made	make	VERB
bjpt-78750	184	9	up	up	ADP
bjpt-78750	184	10	17,576	17,576	NUM
bjpt-78750	184	11	bp	bp	NOUN
bjpt-78750	184	12	(	(	PUNCT
bjpt-78750	184	13	0.005	0.005	NUM
bjpt-78750	184	14	%	%	NOUN
bjpt-78750	184	15	)	)	PUNCT
bjpt-78750	184	16	across	across	ADP
bjpt-78750	184	17	41	41	NUM
bjpt-78750	184	18	genes	gene	NOUN
bjpt-78750	184	19	,	,	PUNCT
bjpt-78750	184	20	while	while	SCONJ
bjpt-78750	184	21	sines	sine	NOUN
bjpt-78750	184	22	(	(	PUNCT
bjpt-78750	184	23	short	short	ADJ
bjpt-78750	184	24	interspersed	interspersed	ADJ
bjpt-78750	184	25	nuclear	nuclear	ADJ
bjpt-78750	184	26	elements	element	NOUN
bjpt-78750	184	27	)	)	PUNCT
bjpt-78750	184	28	contributed	contribute	VERB
bjpt-78750	184	29	2,171	2,171	NUM
bjpt-78750	184	30	bp	bp	PROPN
bjpt-78750	184	31	(	(	PUNCT
bjpt-78750	184	32	0.001	0.001	NUM
bjpt-78750	184	33	%	%	NOUN
bjpt-78750	184	34	)	)	PUNCT
bjpt-78750	184	35	with	with	ADP
bjpt-78750	184	36	7	7	NUM
bjpt-78750	184	37	genes	gene	NOUN
bjpt-78750	184	38	.	.	PUNCT
bjpt-78750	185	1	additional	additional	ADJ
bjpt-78750	185	2	elements	element	NOUN
bjpt-78750	185	3	,	,	PUNCT
bjpt-78750	185	4	such	such	ADJ
bjpt-78750	185	5	as	as	ADP
bjpt-78750	185	6	rrna	rrna	NOUN
bjpt-78750	185	7	-	-	PUNCT
bjpt-78750	185	8	related	relate	VERB
bjpt-78750	185	9	repeats	repeat	NOUN
bjpt-78750	185	10	spanning	span	VERB
bjpt-78750	185	11	3,132	3,132	NUM
bjpt-78750	185	12	bp	bp	NOUN
bjpt-78750	185	13	(	(	PUNCT
bjpt-78750	185	14	0.001	0.001	NUM
bjpt-78750	185	15	%	%	NOUN
bjpt-78750	185	16	)	)	PUNCT
bjpt-78750	185	17	across	across	ADP
bjpt-78750	185	18	202	202	NUM
bjpt-78750	185	19	genes	gene	NOUN
bjpt-78750	185	20	,	,	PUNCT
bjpt-78750	185	21	and	and	CCONJ
bjpt-78750	185	22	other	other	ADJ
bjpt-78750	185	23	simple	simple	ADJ
bjpt-78750	185	24	repeats	repeat	NOUN
bjpt-78750	185	25	at	at	ADP
bjpt-78750	185	26	374	374	NUM
bjpt-78750	185	27	bp	bp	NOUN
bjpt-78750	185	28	,	,	PUNCT
bjpt-78750	185	29	were	be	AUX
bjpt-78750	185	30	also	also	ADV
bjpt-78750	185	31	identified	identify	VERB
bjpt-78750	185	32	.	.	PUNCT
bjpt-78750	186	1	the	the	DET
bjpt-78750	186	2	analysis	analysis	NOUN
bjpt-78750	186	3	reflected	reflect	VERB
bjpt-78750	186	4	a	a	DET
bjpt-78750	186	5	minimal	minimal	ADJ
bjpt-78750	186	6	presence	presence	NOUN
bjpt-78750	186	7	of	of	ADP
bjpt-78750	186	8	repetitive	repetitive	ADJ
bjpt-78750	186	9	sequences	sequence	NOUN
bjpt-78750	186	10	in	in	ADP
bjpt-78750	186	11	the	the	DET
bjpt-78750	186	12	genome	genome	NOUN
bjpt-78750	186	13	,	,	PUNCT
bjpt-78750	186	14	with	with	ADP
bjpt-78750	186	15	no	no	DET
bjpt-78750	186	16	single	single	ADJ
bjpt-78750	186	17	category	category	NOUN
bjpt-78750	186	18	dominating	dominate	VERB
bjpt-78750	186	19	the	the	DET
bjpt-78750	186	20	genome	genome	NOUN
bjpt-78750	186	21	's	's	PART
bjpt-78750	186	22	structure	structure	NOUN
bjpt-78750	186	23	.	.	PUNCT
bjpt-78750	187	1	this	this	DET
bjpt-78750	187	2	low	low	ADJ
bjpt-78750	187	3	repeat	repeat	NOUN
bjpt-78750	187	4	content	content	NOUN
bjpt-78750	187	5	suggests	suggest	VERB
bjpt-78750	187	6	a	a	DET
bjpt-78750	187	7	compact	compact	ADJ
bjpt-78750	187	8	and	and	CCONJ
bjpt-78750	187	9	efficient	efficient	ADJ
bjpt-78750	187	10	genomic	genomic	NOUN
bjpt-78750	187	11	organization	organization	NOUN
bjpt-78750	187	12	,	,	PUNCT
bjpt-78750	187	13	potentially	potentially	ADV
bjpt-78750	187	14	limiting	limit	VERB
bjpt-78750	187	15	the	the	DET
bjpt-78750	187	16	influence	influence	NOUN
bjpt-78750	187	17	of	of	ADP
bjpt-78750	187	18	non	non	ADJ
bjpt-78750	187	19	-	-	ADJ
bjpt-78750	187	20	coding	code	VERB
bjpt-78750	187	21	repetitive	repetitive	ADJ
bjpt-78750	187	22	regions	region	NOUN
bjpt-78750	187	23	on	on	ADP
bjpt-78750	187	24	gene	gene	NOUN
bjpt-78750	187	25	functionality	functionality	NOUN
bjpt-78750	187	26	.	.	PUNCT
bjpt-78750	188	1	the	the	DET
bjpt-78750	188	2	sequencing	sequencing	NOUN
bjpt-78750	188	3	of	of	ADP
bjpt-78750	188	4	life	life	NOUN
bjpt-78750	188	5	on	on	ADP
bjpt-78750	188	6	earth	earth	NOUN
bjpt-78750	188	7	is	be	AUX
bjpt-78750	188	8	revolutionizing	revolutionize	VERB
bjpt-78750	188	9	basic	basic	ADJ
bjpt-78750	188	10	biological	biological	ADJ
bjpt-78750	188	11	research	research	NOUN
bjpt-78750	188	12	and	and	CCONJ
bjpt-78750	188	13	transforming	transform	VERB
bjpt-78750	188	14	our	our	PRON
bjpt-78750	188	15	understanding	understanding	NOUN
bjpt-78750	188	16	of	of	ADP
bjpt-78750	188	17	phylogenetics	phylogenetic	NOUN
bjpt-78750	188	18	,	,	PUNCT
bjpt-78750	188	19	evolution	evolution	NOUN
bjpt-78750	188	20	,	,	PUNCT
bjpt-78750	188	21	ecology	ecology	NOUN
bjpt-78750	188	22	,	,	PUNCT
bjpt-78750	188	23	conservation	conservation	NOUN
bjpt-78750	188	24	,	,	PUNCT
bjpt-78750	188	25	agriculture	agriculture	NOUN
bjpt-78750	188	26	,	,	PUNCT
bjpt-78750	188	27	bioindustry	bioindustry	NOUN
bjpt-78750	188	28	,	,	PUNCT
bjpt-78750	188	29	and	and	CCONJ
bjpt-78750	188	30	medicine	medicine	NOUN
bjpt-78750	188	31	(	(	PUNCT
bjpt-78750	188	32	hiller	hiller	NOUN
bjpt-78750	188	33	et	et	PROPN
bjpt-78750	188	34	al	al	PROPN
bjpt-78750	188	35	.	.	PROPN
bjpt-78750	188	36	,	,	PUNCT
bjpt-78750	188	37	2012	2012	NUM
bjpt-78750	188	38	;	;	PUNCT
bjpt-78750	188	39	henry	henry	PROPN
bjpt-78750	188	40	,	,	PUNCT
bjpt-78750	188	41	2022	2022	NUM
bjpt-78750	188	42	)	)	PUNCT
bjpt-78750	188	43	.	.	PUNCT
bjpt-78750	189	1	these	these	DET
bjpt-78750	189	2	advances	advance	NOUN
bjpt-78750	189	3	are	be	AUX
bjpt-78750	189	4	pivotal	pivotal	ADJ
bjpt-78750	189	5	in	in	ADP
bjpt-78750	189	6	building	build	VERB
bjpt-78750	189	7	a	a	DET
bjpt-78750	189	8	sustainable	sustainable	ADJ
bjpt-78750	189	9	future	future	NOUN
bjpt-78750	189	10	,	,	PUNCT
bjpt-78750	189	11	ensuring	ensure	VERB
bjpt-78750	189	12	biosecurity	biosecurity	NOUN
bjpt-78750	189	13	,	,	PUNCT
bjpt-78750	189	14	and	and	CCONJ
bjpt-78750	189	15	fostering	foster	VERB
bjpt-78750	189	16	an	an	DET
bjpt-78750	189	17	innovative	innovative	ADJ
bjpt-78750	189	18	bio	bio	NOUN
bjpt-78750	189	19	-	-	NOUN
bjpt-78750	189	20	economy	economy	NOUN
bjpt-78750	189	21	(	(	PUNCT
bjpt-78750	189	22	blaxter	blaxter	X
bjpt-78750	189	23	et	et	PROPN
bjpt-78750	189	24	al	al	PROPN
bjpt-78750	189	25	.	.	PROPN
bjpt-78750	189	26	,	,	PUNCT
bjpt-78750	189	27	2022	2022	NUM
bjpt-78750	189	28	)	)	PUNCT
bjpt-78750	189	29	.	.	PUNCT
bjpt-78750	190	1	genomic	genomic	ADJ
bjpt-78750	190	2	analysis	analysis	NOUN
bjpt-78750	190	3	made	make	VERB
bjpt-78750	190	4	easy	easy	ADJ
bjpt-78750	190	5	(	(	PUNCT
bjpt-78750	190	6	game	game	NOUN
bjpt-78750	190	7	v1	v1	NOUN
bjpt-78750	190	8	):	):	PUNCT
bjpt-78750	190	9	an	an	DET
bjpt-78750	190	10	automated	automate	VERB
bjpt-78750	190	11	software	software	NOUN
bjpt-78750	190	12	235	235	NUM
bjpt-78750	190	13	fig	fig	NOUN
bjpt-78750	190	14	.	.	PUNCT
bjpt-78750	191	1	4	4	X
bjpt-78750	191	2	.	.	X
bjpt-78750	191	3	kegg	kegg	NOUN
bjpt-78750	191	4	pathway	pathway	NOUN
bjpt-78750	191	5	analysis	analysis	NOUN
bjpt-78750	191	6	showing	show	VERB
bjpt-78750	191	7	the	the	DET
bjpt-78750	191	8	distribution	distribution	NOUN
bjpt-78750	191	9	of	of	ADP
bjpt-78750	191	10	nuclear	nuclear	ADJ
bjpt-78750	191	11	genes	gene	NOUN
bjpt-78750	191	12	across	across	ADP
bjpt-78750	191	13	various	various	ADJ
bjpt-78750	191	14	biological	biological	ADJ
bjpt-78750	191	15	pathways	pathway	NOUN
bjpt-78750	191	16	.	.	PUNCT
bjpt-78750	192	1	a.	a.	PROPN
bjpt-78750	192	2	histogram	histogram	PROPN
bjpt-78750	192	3	plot	plot	NOUN
bjpt-78750	192	4	.	.	PUNCT
bjpt-78750	193	1	b.	b.	NOUN
bjpt-78750	193	2	dot	dot	NOUN
bjpt-78750	193	3	plot	plot	NOUN
bjpt-78750	193	4	.	.	PUNCT
bjpt-78750	194	1	236	236	NUM
bjpt-78750	194	2	ali	ali	PROPN
bjpt-78750	194	3	et	et	PROPN
bjpt-78750	194	4	al	al	PROPN
bjpt-78750	194	5	.	.	PROPN
bjpt-78750	194	6	fig	fig	PROPN
bjpt-78750	194	7	.	.	PUNCT
bjpt-78750	195	1	5	5	X
bjpt-78750	195	2	.	.	X
bjpt-78750	195	3	analysis	analysis	NOUN
bjpt-78750	195	4	of	of	ADP
bjpt-78750	195	5	major	major	ADJ
bjpt-78750	195	6	repeat	repeat	NOUN
bjpt-78750	195	7	structures	structure	NOUN
bjpt-78750	195	8	in	in	ADP
bjpt-78750	195	9	the	the	DET
bjpt-78750	195	10	nuclear	nuclear	ADJ
bjpt-78750	195	11	genome	genome	NOUN
bjpt-78750	195	12	of	of	ADP
bjpt-78750	195	13	c.	c.	PROPN
bjpt-78750	195	14	pallidicaule	pallidicaule	NOUN
bjpt-78750	195	15	using	use	VERB
bjpt-78750	195	16	the	the	DET
bjpt-78750	195	17	repeatmasker	repeatmasker	NOUN
bjpt-78750	195	18	module	module	NOUN
bjpt-78750	195	19	of	of	ADP
bjpt-78750	195	20	game	game	NOUN
bjpt-78750	195	21	v1	v1	NOUN
bjpt-78750	195	22	showing	show	VERB
bjpt-78750	195	23	gene	gene	NOUN
bjpt-78750	195	24	count	count	NOUN
bjpt-78750	195	25	.	.	PUNCT
bjpt-78750	196	1	fig	fig	NOUN
bjpt-78750	196	2	.	.	PUNCT
bjpt-78750	197	1	6	6	NUM
bjpt-78750	197	2	.	.	X
bjpt-78750	197	3	analysis	analysis	NOUN
bjpt-78750	197	4	of	of	ADP
bjpt-78750	197	5	repeat	repeat	NOUN
bjpt-78750	197	6	structures	structure	NOUN
bjpt-78750	197	7	in	in	ADP
bjpt-78750	197	8	the	the	DET
bjpt-78750	197	9	nuclear	nuclear	ADJ
bjpt-78750	197	10	genome	genome	NOUN
bjpt-78750	197	11	of	of	ADP
bjpt-78750	197	12	c.	c.	PROPN
bjpt-78750	197	13	pallidicaule	pallidicaule	NOUN
bjpt-78750	197	14	using	use	VERB
bjpt-78750	197	15	the	the	DET
bjpt-78750	197	16	repeatmasker	repeatmasker	NOUN
bjpt-78750	197	17	module	module	NOUN
bjpt-78750	197	18	of	of	ADP
bjpt-78750	197	19	game	game	NOUN
bjpt-78750	197	20	v1	v1	NOUN
bjpt-78750	197	21	showing	show	VERB
bjpt-78750	197	22	the	the	DET
bjpt-78750	197	23	length	length	NOUN
bjpt-78750	197	24	(	(	PUNCT
bjpt-78750	197	25	bp	bp	PROPN
bjpt-78750	197	26	)	)	PUNCT
bjpt-78750	197	27	of	of	ADP
bjpt-78750	197	28	the	the	DET
bjpt-78750	197	29	repeat	repeat	NOUN
bjpt-78750	197	30	structures	structure	NOUN
bjpt-78750	197	31	.	.	PUNCT
bjpt-78750	198	1	genomic	genomic	ADJ
bjpt-78750	198	2	analysis	analysis	NOUN
bjpt-78750	198	3	made	make	VERB
bjpt-78750	198	4	easy	easy	ADJ
bjpt-78750	198	5	(	(	PUNCT
bjpt-78750	198	6	game	game	NOUN
bjpt-78750	198	7	v1	v1	NOUN
bjpt-78750	198	8	):	):	PUNCT
bjpt-78750	198	9	an	an	DET
bjpt-78750	198	10	automated	automate	VERB
bjpt-78750	198	11	software	software	NOUN
bjpt-78750	198	12	237	237	NUM
bjpt-78750	198	13	in	in	ADP
bjpt-78750	198	14	plants	plant	NOUN
bjpt-78750	198	15	,	,	PUNCT
bjpt-78750	198	16	genomic	genomic	ADJ
bjpt-78750	198	17	resources	resource	NOUN
bjpt-78750	198	18	have	have	VERB
bjpt-78750	198	19	the	the	DET
bjpt-78750	198	20	potential	potential	NOUN
bjpt-78750	198	21	to	to	PART
bjpt-78750	198	22	simplify	simplify	VERB
bjpt-78750	198	23	and	and	CCONJ
bjpt-78750	198	24	expedite	expedite	VERB
bjpt-78750	198	25	experimental	experimental	ADJ
bjpt-78750	198	26	gene	gene	NOUN
bjpt-78750	198	27	function	function	NOUN
bjpt-78750	198	28	analysis	analysis	NOUN
bjpt-78750	198	29	(	(	PUNCT
bjpt-78750	198	30	rodríguez	rodríguez	NOUN
bjpt-78750	198	31	del	del	PROPN
bjpt-78750	198	32	río	río	PROPN
bjpt-78750	198	33	et	et	PROPN
bjpt-78750	198	34	al	al	PROPN
bjpt-78750	198	35	.	.	PROPN
bjpt-78750	198	36	,	,	PUNCT
bjpt-78750	198	37	2024	2024	NUM
bjpt-78750	198	38	)	)	PUNCT
bjpt-78750	198	39	,	,	PUNCT
bjpt-78750	198	40	enable	enable	VERB
bjpt-78750	198	41	metabolic	metabolic	NOUN
bjpt-78750	198	42	pathway	pathway	NOUN
bjpt-78750	198	43	engineering	engineering	NOUN
bjpt-78750	198	44	for	for	ADP
bjpt-78750	198	45	enhanced	enhanced	ADJ
bjpt-78750	198	46	drought	drought	NOUN
bjpt-78750	198	47	and	and	CCONJ
bjpt-78750	198	48	heat	heat	NOUN
bjpt-78750	198	49	tolerance	tolerance	NOUN
bjpt-78750	198	50	(	(	PUNCT
bjpt-78750	198	51	liu	liu	PROPN
bjpt-78750	198	52	et	et	PROPN
bjpt-78750	198	53	al	al	PROPN
bjpt-78750	198	54	.	.	PROPN
bjpt-78750	198	55	,	,	PUNCT
bjpt-78750	198	56	2023	2023	NUM
bjpt-78750	198	57	)	)	PUNCT
bjpt-78750	198	58	,	,	PUNCT
bjpt-78750	198	59	facilitate	facilitate	VERB
bjpt-78750	198	60	data	datum	NOUN
bjpt-78750	198	61	mining	mining	NOUN
bjpt-78750	198	62	of	of	ADP
bjpt-78750	198	63	bioactive	bioactive	ADJ
bjpt-78750	198	64	compounds	compound	NOUN
bjpt-78750	198	65	(	(	PUNCT
bjpt-78750	198	66	liu	liu	PROPN
bjpt-78750	198	67	et	et	PROPN
bjpt-78750	198	68	al	al	PROPN
bjpt-78750	198	69	.	.	PROPN
bjpt-78750	198	70	,	,	PUNCT
bjpt-78750	198	71	2022	2022	NUM
bjpt-78750	198	72	)	)	PUNCT
bjpt-78750	198	73	,	,	PUNCT
bjpt-78750	198	74	and	and	CCONJ
bjpt-78750	198	75	improve	improve	VERB
bjpt-78750	198	76	crop	crop	NOUN
bjpt-78750	198	77	breeding	breeding	NOUN
bjpt-78750	198	78	strategies	strategy	NOUN
bjpt-78750	198	79	(	(	PUNCT
bjpt-78750	198	80	henry	henry	PROPN
bjpt-78750	198	81	,	,	PUNCT
bjpt-78750	198	82	2022	2022	NUM
bjpt-78750	198	83	)	)	PUNCT
bjpt-78750	198	84	.	.	PUNCT
bjpt-78750	199	1	as	as	SCONJ
bjpt-78750	199	2	sequencing	sequence	VERB
bjpt-78750	199	3	costs	cost	NOUN
bjpt-78750	199	4	decrease	decrease	NOUN
bjpt-78750	199	5	and	and	CCONJ
bjpt-78750	199	6	data	datum	NOUN
bjpt-78750	199	7	volumes	volume	NOUN
bjpt-78750	199	8	surge	surge	VERB
bjpt-78750	199	9	,	,	PUNCT
bjpt-78750	199	10	computational	computational	ADJ
bjpt-78750	199	11	analysis	analysis	NOUN
bjpt-78750	199	12	has	have	AUX
bjpt-78750	199	13	emerged	emerge	VERB
bjpt-78750	199	14	as	as	ADP
bjpt-78750	199	15	a	a	DET
bjpt-78750	199	16	significant	significant	ADJ
bjpt-78750	199	17	bottleneck	bottleneck	NOUN
bjpt-78750	199	18	(	(	PUNCT
bjpt-78750	199	19	pucker	pucker	NOUN
bjpt-78750	199	20	et	et	NOUN
bjpt-78750	199	21	al	al	PROPN
bjpt-78750	199	22	.	.	PROPN
bjpt-78750	199	23	,	,	PUNCT
bjpt-78750	199	24	2022	2022	NUM
bjpt-78750	199	25	)	)	PUNCT
bjpt-78750	199	26	.	.	PUNCT
bjpt-78750	200	1	efficient	efficient	ADJ
bjpt-78750	200	2	downstream	downstream	ADJ
bjpt-78750	200	3	processing	processing	NOUN
bjpt-78750	200	4	of	of	ADP
bjpt-78750	200	5	short	short	ADJ
bjpt-78750	200	6	-	-	PUNCT
bjpt-78750	200	7	read	read	NOUN
bjpt-78750	200	8	datasets	dataset	NOUN
bjpt-78750	200	9	is	be	AUX
bjpt-78750	200	10	critical	critical	ADJ
bjpt-78750	200	11	after	after	ADP
bjpt-78750	200	12	sequencing	sequence	VERB
bjpt-78750	200	13	(	(	PUNCT
bjpt-78750	200	14	zhang	zhang	PROPN
bjpt-78750	200	15	et	et	PROPN
bjpt-78750	200	16	al	al	PROPN
bjpt-78750	200	17	.	.	PROPN
bjpt-78750	200	18	,	,	PUNCT
bjpt-78750	200	19	2011	2011	NUM
bjpt-78750	200	20	)	)	PUNCT
bjpt-78750	200	21	,	,	PUNCT
bjpt-78750	200	22	with	with	ADP
bjpt-78750	200	23	whole	whole	ADJ
bjpt-78750	200	24	-	-	PUNCT
bjpt-78750	200	25	genome	genome	NOUN
bjpt-78750	200	26	assembly	assembly	NOUN
bjpt-78750	200	27	and	and	CCONJ
bjpt-78750	200	28	annotation	annotation	NOUN
bjpt-78750	200	29	being	be	AUX
bjpt-78750	200	30	among	among	ADP
bjpt-78750	200	31	the	the	DET
bjpt-78750	200	32	most	most	ADV
bjpt-78750	200	33	challenging	challenging	ADJ
bjpt-78750	200	34	tasks	task	NOUN
bjpt-78750	200	35	.	.	PUNCT
bjpt-78750	201	1	while	while	SCONJ
bjpt-78750	201	2	numerous	numerous	ADJ
bjpt-78750	201	3	tools	tool	NOUN
bjpt-78750	201	4	exist	exist	VERB
bjpt-78750	201	5	for	for	ADP
bjpt-78750	201	6	genome	genome	NOUN
bjpt-78750	201	7	assembly	assembly	NOUN
bjpt-78750	201	8	and	and	CCONJ
bjpt-78750	201	9	annotation	annotation	NOUN
bjpt-78750	201	10	,	,	PUNCT
bjpt-78750	201	11	they	they	PRON
bjpt-78750	201	12	often	often	ADV
bjpt-78750	201	13	require	require	VERB
bjpt-78750	201	14	advanced	advanced	ADJ
bjpt-78750	201	15	bioinformatics	bioinformatics	NOUN
bjpt-78750	201	16	skills	skill	NOUN
bjpt-78750	201	17	(	(	PUNCT
bjpt-78750	201	18	helmy	helmy	INTJ
bjpt-78750	201	19	et	et	NOUN
bjpt-78750	201	20	al	al	PROPN
bjpt-78750	201	21	.	.	PROPN
bjpt-78750	201	22	,	,	PUNCT
bjpt-78750	201	23	2016	2016	NUM
bjpt-78750	201	24	)	)	PUNCT
bjpt-78750	201	25	and	and	CCONJ
bjpt-78750	201	26	,	,	PUNCT
bjpt-78750	201	27	in	in	ADP
bjpt-78750	201	28	some	some	DET
bjpt-78750	201	29	cases	case	NOUN
bjpt-78750	201	30	,	,	PUNCT
bjpt-78750	201	31	costly	costly	ADJ
bjpt-78750	201	32	subscriptions	subscription	NOUN
bjpt-78750	201	33	(	(	PUNCT
bjpt-78750	201	34	el	el	NOUN
bjpt-78750	201	35	-	-	PROPN
bjpt-78750	201	36	metwally	metwally	ADV
bjpt-78750	201	37	et	et	PROPN
bjpt-78750	201	38	al	al	PROPN
bjpt-78750	201	39	.	.	PROPN
bjpt-78750	201	40	,	,	PUNCT
bjpt-78750	201	41	2013	2013	NUM
bjpt-78750	201	42	)	)	PUNCT
bjpt-78750	201	43	,	,	PUNCT
bjpt-78750	201	44	such	such	ADJ
bjpt-78750	201	45	as	as	ADP
bjpt-78750	201	46	blast2go	blast2go	PROPN
bjpt-78750	201	47	(	(	PUNCT
bjpt-78750	201	48	conesa	conesa	NOUN
bjpt-78750	201	49	and	and	CCONJ
bjpt-78750	201	50	götz	götz	NOUN
bjpt-78750	201	51	,	,	PUNCT
bjpt-78750	201	52	2008	2008	NUM
bjpt-78750	201	53	)	)	PUNCT
bjpt-78750	201	54	.	.	PUNCT
bjpt-78750	202	1	while	while	SCONJ
bjpt-78750	202	2	game	game	NOUN
bjpt-78750	202	3	v1	v1	NOUN
bjpt-78750	202	4	offers	offer	VERB
bjpt-78750	202	5	a	a	DET
bjpt-78750	202	6	robust	robust	ADJ
bjpt-78750	202	7	,	,	PUNCT
bjpt-78750	202	8	user	user	NOUN
bjpt-78750	202	9	-	-	PUNCT
bjpt-78750	202	10	friendly	friendly	ADJ
bjpt-78750	202	11	platform	platform	NOUN
bjpt-78750	202	12	for	for	ADP
bjpt-78750	202	13	the	the	DET
bjpt-78750	202	14	assembly	assembly	NOUN
bjpt-78750	202	15	and	and	CCONJ
bjpt-78750	202	16	annotation	annotation	NOUN
bjpt-78750	202	17	of	of	ADP
bjpt-78750	202	18	higher	high	ADJ
bjpt-78750	202	19	plant	plant	NOUN
bjpt-78750	202	20	genomes	genome	NOUN
bjpt-78750	202	21	,	,	PUNCT
bjpt-78750	202	22	but	but	CCONJ
bjpt-78750	202	23	limited	limit	VERB
bjpt-78750	202	24	to	to	ADP
bjpt-78750	202	25	short	short	ADJ
bjpt-78750	202	26	-	-	PUNCT
bjpt-78750	202	27	read	read	NOUN
bjpt-78750	202	28	sequencing	sequence	VERB
bjpt-78750	202	29	data	datum	NOUN
bjpt-78750	202	30	generated	generate	VERB
bjpt-78750	202	31	by	by	ADP
bjpt-78750	202	32	illumina	illumina	PROPN
bjpt-78750	202	33	platforms	platform	NOUN
bjpt-78750	202	34	.	.	PUNCT
bjpt-78750	203	1	an	an	DET
bjpt-78750	203	2	enhanced	enhanced	ADJ
bjpt-78750	203	3	game	game	NOUN
bjpt-78750	203	4	v2	v2	NOUN
bjpt-78750	203	5	is	be	AUX
bjpt-78750	203	6	under	under	ADP
bjpt-78750	203	7	development	development	NOUN
bjpt-78750	203	8	,	,	PUNCT
bjpt-78750	203	9	which	which	PRON
bjpt-78750	203	10	promises	promise	VERB
bjpt-78750	203	11	to	to	PART
bjpt-78750	203	12	overcome	overcome	VERB
bjpt-78750	203	13	the	the	DET
bjpt-78750	203	14	current	current	ADJ
bjpt-78750	203	15	limitations	limitation	NOUN
bjpt-78750	203	16	by	by	ADP
bjpt-78750	203	17	improving	improve	VERB
bjpt-78750	203	18	assembly	assembly	NOUN
bjpt-78750	203	19	performance	performance	NOUN
bjpt-78750	203	20	and	and	CCONJ
bjpt-78750	203	21	expanding	expand	VERB
bjpt-78750	203	22	analysis	analysis	NOUN
bjpt-78750	203	23	capabilities	capability	NOUN
bjpt-78750	203	24	.	.	PUNCT
bjpt-78750	204	1	acknowledgement	acknowledgement	NOUN
bjpt-78750	204	2	the	the	DET
bjpt-78750	204	3	authors	author	NOUN
bjpt-78750	204	4	extend	extend	VERB
bjpt-78750	204	5	their	their	PRON
bjpt-78750	204	6	appreciation	appreciation	NOUN
bjpt-78750	204	7	to	to	ADP
bjpt-78750	204	8	the	the	DET
bjpt-78750	204	9	researchers	researcher	NOUN
bjpt-78750	204	10	supporting	support	VERB
bjpt-78750	204	11	project	project	NOUN
bjpt-78750	204	12	number	number	NOUN
bjpt-78750	204	13	(	(	PUNCT
bjpt-78750	204	14	rsp2025r306	rsp2025r306	NOUN
bjpt-78750	204	15	)	)	PUNCT
bjpt-78750	204	16	,	,	PUNCT
bjpt-78750	204	17	king	king	PROPN
bjpt-78750	204	18	saud	saud	PROPN
bjpt-78750	204	19	university	university	PROPN
bjpt-78750	204	20	,	,	PUNCT
bjpt-78750	204	21	riyadh	riyadh	PROPN
bjpt-78750	204	22	,	,	PUNCT
bjpt-78750	204	23	saudi	saudi	PROPN
bjpt-78750	204	24	arabia	arabia	PROPN
bjpt-78750	204	25	.	.	PUNCT
bjpt-78750	205	1	references	reference	NOUN
bjpt-78750	205	2	blaxter	blaxter	ADJ
bjpt-78750	205	3	,	,	PUNCT
bjpt-78750	205	4	m.	m.	NOUN
bjpt-78750	205	5	,	,	PUNCT
bjpt-78750	205	6	archibald	archibald	PROPN
bjpt-78750	205	7	,	,	PUNCT
bjpt-78750	205	8	j.m	j.m	PROPN
bjpt-78750	205	9	.	.	PROPN
bjpt-78750	205	10	,	,	PUNCT
bjpt-78750	205	11	childers	childers	PROPN
bjpt-78750	205	12	,	,	PUNCT
bjpt-78750	205	13	a.k	a.k	PROPN
bjpt-78750	205	14	.	.	PROPN
bjpt-78750	205	15	,	,	PUNCT
bjpt-78750	205	16	coddington	coddington	PROPN
bjpt-78750	205	17	,	,	PUNCT
bjpt-78750	205	18	j.a	j.a	PROPN
bjpt-78750	205	19	.	.	PROPN
bjpt-78750	205	20	,	,	PUNCT
bjpt-78750	205	21	crandall	crandall	PROPN
bjpt-78750	205	22	,	,	PUNCT
bjpt-78750	205	23	k.a	k.a	PROPN
bjpt-78750	205	24	.	.	PROPN
bjpt-78750	205	25	,	,	PUNCT
bjpt-78750	205	26	di	di	PROPN
bjpt-78750	205	27	palma	palma	PROPN
bjpt-78750	205	28	,	,	PUNCT
bjpt-78750	205	29	f.	f.	PROPN
bjpt-78750	205	30	,	,	PUNCT
bjpt-78750	205	31	durbin	durbin	PROPN
bjpt-78750	205	32	,	,	PUNCT
bjpt-78750	205	33	r.	r.	PROPN
bjpt-78750	205	34	,	,	PUNCT
bjpt-78750	205	35	edwards	edwards	PROPN
bjpt-78750	205	36	,	,	PUNCT
bjpt-78750	205	37	s.v	s.v	PROPN
bjpt-78750	205	38	.	.	PROPN
bjpt-78750	205	39	,	,	PUNCT
bjpt-78750	205	40	graves	grave	NOUN
bjpt-78750	205	41	,	,	PUNCT
bjpt-78750	205	42	j.a.m	j.a.m	PROPN
bjpt-78750	205	43	.	.	PROPN
bjpt-78750	205	44	,	,	PUNCT
bjpt-78750	205	45	hackett	hackett	PROPN
bjpt-78750	205	46	,	,	PUNCT
bjpt-78750	205	47	k.j	k.j	PROPN
bjpt-78750	205	48	.	.	PROPN
bjpt-78750	205	49	,	,	PUNCT
bjpt-78750	205	50	hall	hall	PROPN
bjpt-78750	205	51	,	,	PUNCT
bjpt-78750	205	52	n.	n.	PROPN
bjpt-78750	205	53	,	,	PUNCT
bjpt-78750	205	54	jarvis	jarvis	PROPN
bjpt-78750	205	55	,	,	PUNCT
bjpt-78750	205	56	e.d	e.d	PROPN
bjpt-78750	205	57	.	.	PROPN
bjpt-78750	205	58	,	,	PUNCT
bjpt-78750	205	59	johnson	johnson	PROPN
bjpt-78750	205	60	,	,	PUNCT
bjpt-78750	205	61	r.n	r.n	PROPN
bjpt-78750	205	62	.	.	PROPN
bjpt-78750	205	63	,	,	PUNCT
bjpt-78750	205	64	karlsson	karlsson	PROPN
bjpt-78750	205	65	,	,	PUNCT
bjpt-78750	205	66	e.k	e.k	PROPN
bjpt-78750	205	67	.	.	PROPN
bjpt-78750	205	68	,	,	PUNCT
bjpt-78750	205	69	kress	kress	PROPN
bjpt-78750	205	70	,	,	PUNCT
bjpt-78750	205	71	w.j	w.j	PROPN
bjpt-78750	205	72	.	.	PROPN
bjpt-78750	205	73	,	,	PUNCT
bjpt-78750	205	74	kuraku	kuraku	PROPN
bjpt-78750	205	75	,	,	PUNCT
bjpt-78750	205	76	s.	s.	PROPN
bjpt-78750	205	77	,	,	PUNCT
bjpt-78750	205	78	lawniczak	lawniczak	NOUN
bjpt-78750	205	79	,	,	PUNCT
bjpt-78750	205	80	m.k.n	m.k.n	X
bjpt-78750	205	81	.	.	PROPN
bjpt-78750	205	82	,	,	PUNCT
bjpt-78750	205	83	lindblad	lindblad	PROPN
bjpt-78750	205	84	-	-	PUNCT
bjpt-78750	205	85	toh	toh	NOUN
bjpt-78750	205	86	,	,	PUNCT
bjpt-78750	205	87	k.	k.	PROPN
bjpt-78750	205	88	,	,	PUNCT
bjpt-78750	205	89	lopez	lopez	PROPN
bjpt-78750	205	90	,	,	PUNCT
bjpt-78750	205	91	j.v	j.v	PROPN
bjpt-78750	205	92	.	.	PROPN
bjpt-78750	205	93	,	,	PUNCT
bjpt-78750	205	94	moran	moran	PROPN
bjpt-78750	205	95	,	,	PUNCT
bjpt-78750	205	96	n.a	n.a	PROPN
bjpt-78750	205	97	.	.	PROPN
bjpt-78750	205	98	,	,	PUNCT
bjpt-78750	205	99	robinson	robinson	PROPN
bjpt-78750	205	100	,	,	PUNCT
bjpt-78750	205	101	g.e	g.e	PROPN
bjpt-78750	205	102	.	.	PROPN
bjpt-78750	205	103	,	,	PUNCT
bjpt-78750	205	104	ryder	ryder	PROPN
bjpt-78750	205	105	,	,	PUNCT
bjpt-78750	205	106	o.a	o.a	PROPN
bjpt-78750	205	107	.	.	PROPN
bjpt-78750	205	108	,	,	PUNCT
bjpt-78750	205	109	shapiro	shapiro	PROPN
bjpt-78750	205	110	,	,	PUNCT
bjpt-78750	205	111	b.	b.	PROPN
bjpt-78750	205	112	,	,	PUNCT
bjpt-78750	205	113	soltis	soltis	PROPN
bjpt-78750	205	114	,	,	PUNCT
bjpt-78750	205	115	p.s	p.s	PROPN
bjpt-78750	205	116	.	.	PROPN
bjpt-78750	205	117	,	,	PUNCT
bjpt-78750	205	118	warnow	warnow	PROPN
bjpt-78750	205	119	,	,	PUNCT
bjpt-78750	205	120	t.	t.	PROPN
bjpt-78750	205	121	,	,	PUNCT
bjpt-78750	205	122	zhang	zhang	PROPN
bjpt-78750	205	123	,	,	PUNCT
bjpt-78750	205	124	g.	g.	PROPN
bjpt-78750	205	125	and	and	CCONJ
bjpt-78750	205	126	lewin	lewin	PROPN
bjpt-78750	205	127	,	,	PUNCT
bjpt-78750	205	128	h.a	h.a	PROPN
bjpt-78750	205	129	.	.	PROPN
bjpt-78750	205	130	2022	2022	NUM
bjpt-78750	205	131	.	.	PUNCT
bjpt-78750	206	1	why	why	SCONJ
bjpt-78750	206	2	sequence	sequence	NOUN
bjpt-78750	206	3	all	all	DET
bjpt-78750	206	4	eukaryotes	eukaryote	NOUN
bjpt-78750	206	5	?	?	PUNCT
bjpt-78750	207	1	proc	proc	NOUN
bjpt-78750	207	2	.	.	PUNCT
bjpt-78750	208	1	natl	natl	PROPN
bjpt-78750	208	2	.	.	PUNCT
bjpt-78750	209	1	acad	acad	PROPN
bjpt-78750	209	2	.	.	PUNCT
bjpt-78750	210	1	sci	sci	PROPN
bjpt-78750	210	2	.	.	PROPN
bjpt-78750	210	3	usa	usa	PROPN
bjpt-78750	210	4	119(4	119(4	NUM
bjpt-78750	210	5	):	):	PUNCT
bjpt-78750	210	6	e2115636118	e2115636118	PROPN
bjpt-78750	210	7	.	.	PUNCT
bjpt-78750	210	8	caudai	caudai	PROPN
bjpt-78750	210	9	,	,	PUNCT
bjpt-78750	210	10	c.	c.	PROPN
bjpt-78750	210	11	,	,	PUNCT
bjpt-78750	210	12	antonella	antonella	PROPN
bjpt-78750	210	13	,	,	PUNCT
bjpt-78750	210	14	g.	g.	PROPN
bjpt-78750	210	15	,	,	PUNCT
bjpt-78750	210	16	filippo	filippo	PROPN
bjpt-78750	210	17	,	,	PUNCT
bjpt-78750	210	18	g.	g.	PROPN
bjpt-78750	210	19	,	,	PUNCT
bjpt-78750	210	20	loredana	loredana	PROPN
bjpt-78750	210	21	,	,	PUNCT
bjpt-78750	210	22	l.p	l.p	PROPN
bjpt-78750	210	23	.	.	PROPN
bjpt-78750	210	24	,	,	PUNCT
bjpt-78750	210	25	veronica	veronica	PROPN
bjpt-78750	210	26	,	,	PUNCT
bjpt-78750	210	27	m.	m.	NOUN
bjpt-78750	210	28	,	,	PUNCT
bjpt-78750	210	29	emanuele	emanuele	PROPN
bjpt-78750	210	30	,	,	PUNCT
bjpt-78750	210	31	s.	s.	PROPN
bjpt-78750	210	32	,	,	PUNCT
bjpt-78750	210	33	allegra	allegra	PROPN
bjpt-78750	210	34	,	,	PUNCT
bjpt-78750	210	35	v.	v.	PROPN
bjpt-78750	210	36	and	and	CCONJ
bjpt-78750	210	37	teresa	teresa	PROPN
bjpt-78750	210	38	,	,	PUNCT
bjpt-78750	210	39	c.	c.	PROPN
bjpt-78750	210	40	2021	2021	NUM
bjpt-78750	210	41	.	.	PUNCT
bjpt-78750	211	1	ai	ai	VERB
bjpt-78750	211	2	applications	application	NOUN
bjpt-78750	211	3	in	in	ADP
bjpt-78750	211	4	functional	functional	ADJ
bjpt-78750	211	5	genomics	genomic	NOUN
bjpt-78750	211	6	.	.	PUNCT
bjpt-78750	212	1	comp	comp	NOUN
bjpt-78750	212	2	.	.	PUNCT
bjpt-78750	212	3	struct	struct	NOUN
bjpt-78750	212	4	.	.	PUNCT
bjpt-78750	213	1	biotech	biotech	NOUN
bjpt-78750	213	2	.	.	PUNCT
bjpt-78750	214	1	j.	j.	PROPN
bjpt-78750	214	2	19	19	NUM
bjpt-78750	214	3	:	:	PUNCT
bjpt-78750	214	4	5762–5790	5762–5790	NUM
bjpt-78750	214	5	.	.	PUNCT
bjpt-78750	215	1	chakravartty	chakravartty	NOUN
bjpt-78750	215	2	,	,	PUNCT
bjpt-78750	215	3	n.	n.	PROPN
bjpt-78750	215	4	and	and	CCONJ
bjpt-78750	215	5	neelapu	neelapu	PROPN
bjpt-78750	215	6	,	,	PUNCT
bjpt-78750	215	7	n.r.r	n.r.r	ADJ
bjpt-78750	215	8	.	.	PROPN
bjpt-78750	215	9	2024	2024	NUM
bjpt-78750	215	10	.	.	PUNCT
bjpt-78750	216	1	the	the	DET
bjpt-78750	216	2	de	de	PROPN
bjpt-78750	216	3	novo	novo	NOUN
bjpt-78750	216	4	genome	genome	NOUN
bjpt-78750	216	5	assembly	assembly	NOUN
bjpt-78750	216	6	of	of	ADP
bjpt-78750	216	7	lemon	lemon	NOUN
bjpt-78750	216	8	grass	grass	NOUN
bjpt-78750	216	9	to	to	PART
bjpt-78750	216	10	identify	identify	VERB
bjpt-78750	216	11	the	the	DET
bjpt-78750	216	12	genes	gene	NOUN
bjpt-78750	216	13	in	in	ADP
bjpt-78750	216	14	essential	essential	ADJ
bjpt-78750	216	15	oil	oil	NOUN
bjpt-78750	216	16	production	production	NOUN
bjpt-78750	216	17	.	.	PUNCT
bjpt-78750	217	1	j.	j.	PROPN
bjpt-78750	217	2	app	app	PROPN
bjpt-78750	217	3	.	.	PUNCT
bjpt-78750	218	1	biol	biol	PROPN
bjpt-78750	218	2	.	.	PUNCT
bjpt-78750	219	1	biotechnol	biotechnol	PROPN
bjpt-78750	219	2	.	.	PUNCT
bjpt-78750	220	1	12(2	12(2	NUM
bjpt-78750	220	2	):	):	PUNCT
bjpt-78750	221	1	100–149	100–149	NUM
bjpt-78750	221	2	.	.	PUNCT
bjpt-78750	221	3	conesa	conesa	PROPN
bjpt-78750	221	4	,	,	PUNCT
bjpt-78750	221	5	a.	a.	NOUN
bjpt-78750	221	6	and	and	CCONJ
bjpt-78750	221	7	götz	götz	PROPN
bjpt-78750	221	8	,	,	PUNCT
bjpt-78750	221	9	s.	s.	PROPN
bjpt-78750	221	10	2008	2008	NUM
bjpt-78750	221	11	.	.	PUNCT
bjpt-78750	222	1	blast2go	blast2go	NOUN
bjpt-78750	222	2	:	:	PUNCT
bjpt-78750	222	3	a	a	DET
bjpt-78750	222	4	comprehensive	comprehensive	ADJ
bjpt-78750	222	5	suite	suite	NOUN
bjpt-78750	222	6	for	for	ADP
bjpt-78750	222	7	functional	functional	ADJ
bjpt-78750	222	8	analysis	analysis	NOUN
bjpt-78750	222	9	in	in	ADP
bjpt-78750	222	10	plant	plant	NOUN
bjpt-78750	222	11	genomics	genomic	NOUN
bjpt-78750	222	12	.	.	PUNCT
bjpt-78750	223	1	int	int	NOUN
bjpt-78750	223	2	.	.	PUNCT
bjpt-78750	224	1	j.	j.	PROPN
bjpt-78750	224	2	plant	plant	PROPN
bjpt-78750	224	3	genom	genom	PROPN
bjpt-78750	224	4	.	.	PUNCT
bjpt-78750	225	1	2008	2008	NUM
bjpt-78750	225	2	:	:	PUNCT
bjpt-78750	226	1	619832	619832	NUM
bjpt-78750	226	2	.	.	PUNCT
bjpt-78750	227	1	dai	dai	PROPN
bjpt-78750	227	2	,	,	PUNCT
bjpt-78750	227	3	b.	b.	PROPN
bjpt-78750	227	4	,	,	PUNCT
bjpt-78750	227	5	guo	guo	PROPN
bjpt-78750	227	6	,	,	PUNCT
bjpt-78750	227	7	h.	h.	PROPN
bjpt-78750	227	8	,	,	PUNCT
bjpt-78750	227	9	huang	huang	PROPN
bjpt-78750	227	10	,	,	PUNCT
bjpt-78750	227	11	c.	c.	PROPN
bjpt-78750	227	12	,	,	PUNCT
bjpt-78750	227	13	zhang	zhang	PROPN
bjpt-78750	227	14	,	,	PUNCT
bjpt-78750	227	15	x.	x.	PROPN
bjpt-78750	227	16	and	and	CCONJ
bjpt-78750	227	17	lin	lin	PROPN
bjpt-78750	227	18	,	,	PUNCT
bjpt-78750	227	19	z.	z.	PROPN
bjpt-78750	227	20	2016	2016	NUM
bjpt-78750	227	21	.	.	PUNCT
bjpt-78750	228	1	genomic	genomic	ADJ
bjpt-78750	228	2	heterozygosity	heterozygosity	NOUN
bjpt-78750	228	3	and	and	CCONJ
bjpt-78750	228	4	hybrid	hybrid	ADJ
bjpt-78750	228	5	breakdown	breakdown	NOUN
bjpt-78750	228	6	in	in	ADP
bjpt-78750	228	7	cotton	cotton	NOUN
bjpt-78750	228	8	(	(	PUNCT
bjpt-78750	228	9	gossypium	gossypium	NOUN
bjpt-78750	228	10	):	):	PUNCT
bjpt-78750	228	11	different	different	ADJ
bjpt-78750	228	12	traits	trait	NOUN
bjpt-78750	228	13	,	,	PUNCT
bjpt-78750	228	14	different	different	ADJ
bjpt-78750	228	15	effects	effect	NOUN
bjpt-78750	228	16	.	.	PUNCT
bjpt-78750	229	1	bmc	bmc	PROPN
bjpt-78750	229	2	genet	genet	PROPN
bjpt-78750	229	3	.	.	PUNCT
bjpt-78750	230	1	17	17	NUM
bjpt-78750	230	2	:	:	PUNCT
bjpt-78750	230	3	1–11	1–11	PROPN
bjpt-78750	230	4	.	.	PUNCT
bjpt-78750	231	1	drezen	drezen	PROPN
bjpt-78750	231	2	,	,	PUNCT
bjpt-78750	231	3	e.	e.	PROPN
bjpt-78750	231	4	,	,	PUNCT
bjpt-78750	231	5	rizk	rizk	PROPN
bjpt-78750	231	6	,	,	PUNCT
bjpt-78750	231	7	g.	g.	PROPN
bjpt-78750	231	8	,	,	PUNCT
bjpt-78750	231	9	chikhi	chikhi	PROPN
bjpt-78750	231	10	,	,	PUNCT
bjpt-78750	231	11	r.	r.	PROPN
bjpt-78750	231	12	,	,	PUNCT
bjpt-78750	231	13	deltel	deltel	PROPN
bjpt-78750	231	14	,	,	PUNCT
bjpt-78750	231	15	c.	c.	NOUN
bjpt-78750	231	16	,	,	PUNCT
bjpt-78750	231	17	lemaitre	lemaitre	PROPN
bjpt-78750	231	18	,	,	PUNCT
bjpt-78750	231	19	c.	c.	PROPN
bjpt-78750	231	20	,	,	PUNCT
bjpt-78750	231	21	peterlongo	peterlongo	NOUN
bjpt-78750	231	22	,	,	PUNCT
bjpt-78750	231	23	p.	p.	NOUN
bjpt-78750	231	24	and	and	CCONJ
bjpt-78750	231	25	lavenier	lavenier	PROPN
bjpt-78750	231	26	,	,	PUNCT
bjpt-78750	231	27	d.	d.	PROPN
bjpt-78750	231	28	2014	2014	NUM
bjpt-78750	231	29	.	.	PUNCT
bjpt-78750	232	1	gatb	gatb	NOUN
bjpt-78750	232	2	:	:	PUNCT
bjpt-78750	232	3	genome	genome	NOUN
bjpt-78750	232	4	assembly	assembly	NOUN
bjpt-78750	232	5	&	&	CCONJ
bjpt-78750	232	6	analysis	analysis	NOUN
bjpt-78750	232	7	tool	tool	PROPN
bjpt-78750	232	8	box	box	PROPN
bjpt-78750	232	9	.	.	PUNCT
bjpt-78750	233	1	bioinformatics	bioinformatics	NOUN
bjpt-78750	233	2	30(20	30(20	NUM
bjpt-78750	233	3	):	):	PUNCT
bjpt-78750	233	4	2959–2961	2959–2961	NUM
bjpt-78750	233	5	.	.	PUNCT
bjpt-78750	233	6	ejigu	ejigu	PROPN
bjpt-78750	233	7	,	,	PUNCT
bjpt-78750	233	8	g.f	g.f	PROPN
bjpt-78750	233	9	.	.	PROPN
bjpt-78750	233	10	and	and	CCONJ
bjpt-78750	233	11	jung	jung	PROPN
bjpt-78750	233	12	,	,	PUNCT
bjpt-78750	233	13	j.	j.	PROPN
bjpt-78750	233	14	2020	2020	NUM
bjpt-78750	233	15	.	.	PUNCT
bjpt-78750	234	1	review	review	NOUN
bjpt-78750	234	2	on	on	ADP
bjpt-78750	234	3	the	the	DET
bjpt-78750	234	4	computational	computational	ADJ
bjpt-78750	234	5	genome	genome	NOUN
bjpt-78750	234	6	annotation	annotation	NOUN
bjpt-78750	234	7	of	of	ADP
bjpt-78750	234	8	sequences	sequence	NOUN
bjpt-78750	234	9	obtained	obtain	VERB
bjpt-78750	234	10	by	by	ADP
bjpt-78750	234	11	next	next	ADJ
bjpt-78750	234	12	-	-	PUNCT
bjpt-78750	234	13	generation	generation	NOUN
bjpt-78750	234	14	sequencing	sequencing	NOUN
bjpt-78750	234	15	.	.	PUNCT
bjpt-78750	235	1	biol	biol	PROPN
bjpt-78750	235	2	.	.	PUNCT
bjpt-78750	236	1	9(9	9(9	NOUN
bjpt-78750	236	2	):	):	PUNCT
bjpt-78750	236	3	295	295	NUM
bjpt-78750	236	4	.	.	PUNCT
bjpt-78750	237	1	ellestad	ellestad	NOUN
bjpt-78750	237	2	,	,	PUNCT
bjpt-78750	237	3	p.	p.	NOUN
bjpt-78750	237	4	,	,	PUNCT
bjpt-78750	237	5	pérez	pérez	NOUN
bjpt-78750	237	6	-	-	PUNCT
bjpt-78750	237	7	farrera	farrera	NOUN
bjpt-78750	237	8	,	,	PUNCT
bjpt-78750	237	9	m.a	m.a	PROPN
bjpt-78750	237	10	.	.	PROPN
bjpt-78750	237	11	and	and	CCONJ
bjpt-78750	237	12	buerki	buerki	NOUN
bjpt-78750	237	13	,	,	PUNCT
bjpt-78750	237	14	s.	s.	PROPN
bjpt-78750	237	15	2022	2022	NUM
bjpt-78750	237	16	.	.	PUNCT
bjpt-78750	238	1	genomic	genomic	ADJ
bjpt-78750	238	2	insights	insight	NOUN
bjpt-78750	238	3	into	into	ADP
bjpt-78750	238	4	cultivated	cultivate	VERB
bjpt-78750	238	5	mexican	mexican	ADJ
bjpt-78750	238	6	vanilla	vanilla	NOUN
bjpt-78750	238	7	planifolia	planifolia	NOUN
bjpt-78750	238	8	reveal	reveal	VERB
bjpt-78750	238	9	high	high	ADJ
bjpt-78750	238	10	levels	level	NOUN
bjpt-78750	238	11	of	of	ADP
bjpt-78750	238	12	heterozygosity	heterozygosity	NOUN
bjpt-78750	238	13	stemming	stem	VERB
bjpt-78750	238	14	from	from	ADP
bjpt-78750	238	15	hybridization	hybridization	NOUN
bjpt-78750	238	16	.	.	PUNCT
bjpt-78750	239	1	plants	plant	NOUN
bjpt-78750	239	2	11(16	11(16	NUM
bjpt-78750	239	3	):	):	PUNCT
bjpt-78750	239	4	2090	2090	NUM
bjpt-78750	239	5	.	.	PUNCT
bjpt-78750	240	1	el	el	NOUN
bjpt-78750	240	2	-	-	PROPN
bjpt-78750	240	3	metwally	metwally	ADV
bjpt-78750	240	4	,	,	PUNCT
bjpt-78750	240	5	s.	s.	PROPN
bjpt-78750	240	6	,	,	PUNCT
bjpt-78750	240	7	hamza	hamza	PROPN
bjpt-78750	240	8	,	,	PUNCT
bjpt-78750	240	9	t.	t.	PROPN
bjpt-78750	240	10	,	,	PUNCT
bjpt-78750	240	11	zakaria	zakaria	PROPN
bjpt-78750	240	12	,	,	PUNCT
bjpt-78750	240	13	m.	m.	NOUN
bjpt-78750	240	14	and	and	CCONJ
bjpt-78750	240	15	helmy	helmy	ADJ
bjpt-78750	240	16	,	,	PUNCT
bjpt-78750	240	17	m.	m.	NOUN
bjpt-78750	240	18	2013	2013	NUM
bjpt-78750	240	19	.	.	PUNCT
bjpt-78750	241	1	next	next	ADJ
bjpt-78750	241	2	-	-	PUNCT
bjpt-78750	241	3	generation	generation	NOUN
bjpt-78750	241	4	sequence	sequence	NOUN
bjpt-78750	241	5	assembly	assembly	NOUN
bjpt-78750	241	6	:	:	PUNCT
bjpt-78750	241	7	four	four	NUM
bjpt-78750	241	8	stages	stage	NOUN
bjpt-78750	241	9	of	of	ADP
bjpt-78750	241	10	data	datum	NOUN
bjpt-78750	241	11	processing	processing	NOUN
bjpt-78750	241	12	and	and	CCONJ
bjpt-78750	241	13	computational	computational	ADJ
bjpt-78750	241	14	challenges	challenge	NOUN
bjpt-78750	241	15	.	.	PUNCT
bjpt-78750	242	1	plos	plos	PROPN
bjpt-78750	242	2	comput	comput	PROPN
bjpt-78750	242	3	.	.	PUNCT
bjpt-78750	243	1	biol	biol	PROPN
bjpt-78750	243	2	.	.	PUNCT
bjpt-78750	244	1	9	9	NUM
bjpt-78750	244	2	:	:	PUNCT
bjpt-78750	244	3	e1003345	e1003345	PROPN
bjpt-78750	244	4	.	.	PROPN
bjpt-78750	244	5	gurevich	gurevich	PROPN
bjpt-78750	244	6	,	,	PUNCT
bjpt-78750	244	7	a.	a.	NOUN
bjpt-78750	244	8	,	,	PUNCT
bjpt-78750	244	9	saveliev	saveliev	ADV
bjpt-78750	244	10	,	,	PUNCT
bjpt-78750	244	11	v.	v.	ADV
bjpt-78750	244	12	,	,	PUNCT
bjpt-78750	244	13	vyahhi	vyahhi	NOUN
bjpt-78750	244	14	,	,	PUNCT
bjpt-78750	244	15	n.	n.	NOUN
bjpt-78750	244	16	and	and	CCONJ
bjpt-78750	244	17	tesler	tesler	NOUN
bjpt-78750	244	18	,	,	PUNCT
bjpt-78750	244	19	g.	g.	PROPN
bjpt-78750	244	20	2013	2013	NUM
bjpt-78750	244	21	.	.	PUNCT
bjpt-78750	245	1	quast	quast	NOUN
bjpt-78750	245	2	:	:	PUNCT
bjpt-78750	245	3	quality	quality	NOUN
bjpt-78750	245	4	assessment	assessment	NOUN
bjpt-78750	245	5	tool	tool	NOUN
bjpt-78750	245	6	for	for	ADP
bjpt-78750	245	7	genome	genome	NOUN
bjpt-78750	245	8	assemblies	assembly	NOUN
bjpt-78750	245	9	.	.	PUNCT
bjpt-78750	246	1	bioinformatics	bioinformatic	NOUN
bjpt-78750	246	2	29(8	29(8	NOUN
bjpt-78750	246	3	):	):	PUNCT
bjpt-78750	246	4	1072–1075	1072–1075	NUM
bjpt-78750	246	5	.	.	PUNCT
bjpt-78750	247	1	helmy	helmy	ADJ
bjpt-78750	247	2	,	,	PUNCT
bjpt-78750	247	3	m.	m.	NOUN
bjpt-78750	247	4	,	,	PUNCT
bjpt-78750	247	5	mohamed	mohamed	PROPN
bjpt-78750	247	6	,	,	PUNCT
bjpt-78750	247	7	a.	a.	PROPN
bjpt-78750	247	8	and	and	CCONJ
bjpt-78750	247	9	kareem	kareem	PROPN
bjpt-78750	247	10	,	,	PUNCT
bjpt-78750	247	11	a.m.	a.m.	PROPN
bjpt-78750	247	12	2016	2016	NUM
bjpt-78750	247	13	.	.	PUNCT
bjpt-78750	248	1	limited	limited	ADJ
bjpt-78750	248	2	resources	resource	NOUN
bjpt-78750	248	3	of	of	ADP
bjpt-78750	248	4	genome	genome	NOUN
bjpt-78750	248	5	sequencing	sequencing	NOUN
bjpt-78750	248	6	in	in	ADP
bjpt-78750	248	7	developing	develop	VERB
bjpt-78750	248	8	countries	country	NOUN
bjpt-78750	248	9	:	:	PUNCT
bjpt-78750	248	10	challenges	challenge	NOUN
bjpt-78750	248	11	and	and	CCONJ
bjpt-78750	248	12	solutions	solution	NOUN
bjpt-78750	248	13	.	.	PUNCT
bjpt-78750	249	1	appl	appl	PROPN
bjpt-78750	249	2	.	.	PUNCT
bjpt-78750	250	1	trans	trans	PROPN
bjpt-78750	250	2	.	.	PUNCT
bjpt-78750	251	1	genomics	genomic	NOUN
bjpt-78750	251	2	9	9	NUM
bjpt-78750	251	3	:	:	PUNCT
bjpt-78750	251	4	15–19	15–19	NUM
bjpt-78750	251	5	.	.	PUNCT
bjpt-78750	252	1	henry	henry	PROPN
bjpt-78750	252	2	,	,	PUNCT
bjpt-78750	252	3	r.j	r.j	PROPN
bjpt-78750	252	4	.	.	PROPN
bjpt-78750	252	5	2022	2022	NUM
bjpt-78750	252	6	.	.	PUNCT
bjpt-78750	253	1	progress	progress	NOUN
bjpt-78750	253	2	in	in	ADP
bjpt-78750	253	3	plant	plant	NOUN
bjpt-78750	253	4	genome	genome	NOUN
bjpt-78750	253	5	sequencing	sequencing	NOUN
bjpt-78750	253	6	.	.	PUNCT
bjpt-78750	254	1	appl	appl	PROPN
bjpt-78750	254	2	.	.	PUNCT
bjpt-78750	255	1	biosci	biosci	PROPN
bjpt-78750	255	2	.	.	PUNCT
bjpt-78750	256	1	1	1	NUM
bjpt-78750	256	2	:	:	SYM
bjpt-78750	256	3	113–128	113–128	NUM
bjpt-78750	256	4	.	.	PUNCT
bjpt-78750	257	1	238	238	NUM
bjpt-78750	257	2	ali	ali	PROPN
bjpt-78750	257	3	et	et	PROPN
bjpt-78750	257	4	al	al	PROPN
bjpt-78750	257	5	.	.	PROPN
bjpt-78750	257	6	hiller	hiller	PROPN
bjpt-78750	257	7	,	,	PUNCT
bjpt-78750	257	8	m.	m.	NOUN
bjpt-78750	257	9	,	,	PUNCT
bjpt-78750	257	10	schaar	schaar	NOUN
bjpt-78750	257	11	,	,	PUNCT
bjpt-78750	257	12	b.t	b.t	PROPN
bjpt-78750	257	13	.	.	PROPN
bjpt-78750	257	14	,	,	PUNCT
bjpt-78750	257	15	indjeian	indjeian	PROPN
bjpt-78750	257	16	,	,	PUNCT
bjpt-78750	257	17	v.b	v.b	PROPN
bjpt-78750	257	18	.	.	PROPN
bjpt-78750	257	19	,	,	PUNCT
bjpt-78750	257	20	kingsley	kingsley	PROPN
bjpt-78750	257	21	,	,	PUNCT
bjpt-78750	257	22	d.m	d.m	PROPN
bjpt-78750	257	23	.	.	PROPN
bjpt-78750	257	24	,	,	PUNCT
bjpt-78750	257	25	hagey	hagey	PROPN
bjpt-78750	257	26	,	,	PUNCT
bjpt-78750	257	27	l.r	l.r	PROPN
bjpt-78750	257	28	.	.	PROPN
bjpt-78750	257	29	and	and	CCONJ
bjpt-78750	257	30	bejerano	bejerano	PROPN
bjpt-78750	257	31	,	,	PUNCT
bjpt-78750	257	32	g.	g.	PROPN
bjpt-78750	257	33	2012	2012	NUM
bjpt-78750	257	34	.	.	PUNCT
bjpt-78750	258	1	a	a	DET
bjpt-78750	258	2	"	"	PUNCT
bjpt-78750	258	3	forward	forward	ADJ
bjpt-78750	258	4	genomics	genomics	NOUN
bjpt-78750	258	5	"	"	PUNCT
bjpt-78750	258	6	approach	approach	NOUN
bjpt-78750	258	7	links	link	NOUN
bjpt-78750	258	8	genotype	genotype	VERB
bjpt-78750	258	9	to	to	ADP
bjpt-78750	258	10	phenotype	phenotype	NOUN
bjpt-78750	258	11	using	use	VERB
bjpt-78750	258	12	independent	independent	ADJ
bjpt-78750	258	13	phenotypic	phenotypic	ADJ
bjpt-78750	258	14	losses	loss	NOUN
bjpt-78750	258	15	among	among	ADP
bjpt-78750	258	16	related	related	ADJ
bjpt-78750	258	17	species	specie	NOUN
bjpt-78750	258	18	.	.	PUNCT
bjpt-78750	259	1	cell	cell	NOUN
bjpt-78750	259	2	rep	rep	PROPN
bjpt-78750	259	3	.	.	PROPN
bjpt-78750	259	4	2(4	2(4	NUM
bjpt-78750	259	5	):	):	PUNCT
bjpt-78750	260	1	817–823	817–823	NUM
bjpt-78750	260	2	.	.	PUNCT
bjpt-78750	260	3	jung	jung	PROPN
bjpt-78750	260	4	,	,	PUNCT
bjpt-78750	260	5	h.	h.	PROPN
bjpt-78750	260	6	,	,	PUNCT
bjpt-78750	260	7	ventura	ventura	PROPN
bjpt-78750	260	8	,	,	PUNCT
bjpt-78750	260	9	t.	t.	PROPN
bjpt-78750	260	10	,	,	PUNCT
bjpt-78750	260	11	chung	chung	PROPN
bjpt-78750	260	12	,	,	PUNCT
bjpt-78750	260	13	j.s	j.s	PROPN
bjpt-78750	260	14	.	.	PROPN
bjpt-78750	260	15	,	,	PUNCT
bjpt-78750	260	16	kim	kim	PROPN
bjpt-78750	260	17	,	,	PUNCT
bjpt-78750	260	18	w.j	w.j	PROPN
bjpt-78750	260	19	.	.	PROPN
bjpt-78750	260	20	,	,	PUNCT
bjpt-78750	260	21	nam	nam	PROPN
bjpt-78750	260	22	,	,	PUNCT
bjpt-78750	260	23	b.h	b.h	PROPN
bjpt-78750	260	24	.	.	PROPN
bjpt-78750	260	25	,	,	PUNCT
bjpt-78750	260	26	kong	kong	PROPN
bjpt-78750	260	27	,	,	PUNCT
bjpt-78750	260	28	h.j	h.j	PROPN
bjpt-78750	260	29	.	.	PROPN
bjpt-78750	260	30	,	,	PUNCT
bjpt-78750	260	31	kim	kim	PROPN
bjpt-78750	260	32	,	,	PUNCT
bjpt-78750	260	33	y.o	y.o	PROPN
bjpt-78750	260	34	.	.	PROPN
bjpt-78750	260	35	,	,	PUNCT
bjpt-78750	260	36	jeon	jeon	PROPN
bjpt-78750	260	37	,	,	PUNCT
bjpt-78750	260	38	m.s	m.s	PROPN
bjpt-78750	260	39	.	.	PROPN
bjpt-78750	260	40	and	and	CCONJ
bjpt-78750	260	41	eyun	eyun	PROPN
bjpt-78750	260	42	,	,	PUNCT
bjpt-78750	260	43	s.i	s.i	PROPN
bjpt-78750	260	44	.	.	PROPN
bjpt-78750	260	45	2020	2020	NUM
bjpt-78750	260	46	.	.	PUNCT
bjpt-78750	261	1	twelve	twelve	NUM
bjpt-78750	261	2	quick	quick	ADJ
bjpt-78750	261	3	steps	step	NOUN
bjpt-78750	261	4	for	for	ADP
bjpt-78750	261	5	genome	genome	NOUN
bjpt-78750	261	6	assembly	assembly	NOUN
bjpt-78750	261	7	and	and	CCONJ
bjpt-78750	261	8	annotation	annotation	NOUN
bjpt-78750	261	9	in	in	ADP
bjpt-78750	261	10	the	the	DET
bjpt-78750	261	11	classroom	classroom	NOUN
bjpt-78750	261	12	.	.	PUNCT
bjpt-78750	262	1	plos	plos	PROPN
bjpt-78750	262	2	comput	comput	PROPN
bjpt-78750	262	3	.	.	PUNCT
bjpt-78750	263	1	biol	biol	PROPN
bjpt-78750	263	2	.	.	PUNCT
bjpt-78750	264	1	16(11	16(11	NUM
bjpt-78750	264	2	):	):	PUNCT
bjpt-78750	265	1	e1008325	e1008325	PROPN
bjpt-78750	265	2	.	.	PUNCT
bjpt-78750	266	1	kathiresan	kathiresan	PROPN
bjpt-78750	266	2	,	,	PUNCT
bjpt-78750	266	3	n.	n.	PROPN
bjpt-78750	266	4	,	,	PUNCT
bjpt-78750	266	5	temanni	temanni	PROPN
bjpt-78750	266	6	,	,	PUNCT
bjpt-78750	266	7	r.	r.	PROPN
bjpt-78750	266	8	,	,	PUNCT
bjpt-78750	266	9	almabrazi	almabrazi	NOUN
bjpt-78750	266	10	,	,	PUNCT
bjpt-78750	266	11	h.	h.	PROPN
bjpt-78750	266	12	,	,	PUNCT
bjpt-78750	266	13	syed	syed	ADJ
bjpt-78750	266	14	,	,	PUNCT
bjpt-78750	266	15	n.	n.	NOUN
bjpt-78750	266	16	,	,	PUNCT
bjpt-78750	266	17	jithesh	jithesh	PROPN
bjpt-78750	266	18	,	,	PUNCT
bjpt-78750	266	19	p.v	p.v	PROPN
bjpt-78750	266	20	.	.	PROPN
bjpt-78750	266	21	and	and	CCONJ
bjpt-78750	266	22	al	al	PROPN
bjpt-78750	266	23	-	-	PUNCT
bjpt-78750	266	24	ali	ali	PROPN
bjpt-78750	266	25	,	,	PUNCT
bjpt-78750	266	26	r.	r.	PROPN
bjpt-78750	266	27	2017	2017	NUM
bjpt-78750	266	28	.	.	PUNCT
bjpt-78750	267	1	accelerating	accelerate	VERB
bjpt-78750	267	2	next	next	ADJ
bjpt-78750	267	3	generation	generation	NOUN
bjpt-78750	267	4	sequencing	sequence	VERB
bjpt-78750	267	5	data	datum	NOUN
bjpt-78750	267	6	analysis	analysis	NOUN
bjpt-78750	267	7	with	with	ADP
bjpt-78750	267	8	system	system	NOUN
bjpt-78750	267	9	level	level	NOUN
bjpt-78750	267	10	optimizations	optimization	NOUN
bjpt-78750	267	11	.	.	PUNCT
bjpt-78750	268	1	sci	sci	PROPN
bjpt-78750	268	2	.	.	PROPN
bjpt-78750	268	3	rep	rep	PROPN
bjpt-78750	268	4	.	.	PROPN
bjpt-78750	268	5	7	7	NUM
bjpt-78750	268	6	:	:	PUNCT
bjpt-78750	268	7	,	,	PUNCT
bjpt-78750	268	8	9058	9058	NUM
bjpt-78750	268	9	.	.	PUNCT
bjpt-78750	269	1	lin	lin	PROPN
bjpt-78750	269	2	,	,	PUNCT
bjpt-78750	269	3	y.j	y.j	PROPN
bjpt-78750	269	4	.	.	PROPN
bjpt-78750	269	5	,	,	PUNCT
bjpt-78750	269	6	ding	ding	PROPN
bjpt-78750	269	7	,	,	PUNCT
bjpt-78750	269	8	x.y	x.y	PROPN
bjpt-78750	269	9	.	.	PROPN
bjpt-78750	269	10	,	,	PUNCT
bjpt-78750	269	11	huang	huang	PROPN
bjpt-78750	269	12	,	,	PUNCT
bjpt-78750	269	13	y.w	y.w	PROPN
bjpt-78750	269	14	.	.	PROPN
bjpt-78750	269	15	and	and	CCONJ
bjpt-78750	269	16	lu	lu	PROPN
bjpt-78750	269	17	,	,	PUNCT
bjpt-78750	269	18	l.	l.	PROPN
bjpt-78750	269	19	2024	2024	NUM
bjpt-78750	269	20	.	.	PUNCT
bjpt-78750	270	1	first	first	PROPN
bjpt-78750	270	2	de	de	X
bjpt-78750	270	3	novo	novo	NOUN
bjpt-78750	270	4	genome	genome	NOUN
bjpt-78750	270	5	assembly	assembly	NOUN
bjpt-78750	270	6	and	and	CCONJ
bjpt-78750	270	7	characterization	characterization	NOUN
bjpt-78750	270	8	of	of	ADP
bjpt-78750	270	9	gaultheria	gaultheria	PROPN
bjpt-78750	270	10	prostrata	prostrata	PROPN
bjpt-78750	270	11	.	.	PUNCT
bjpt-78750	271	1	front	front	NOUN
bjpt-78750	271	2	.	.	PUNCT
bjpt-78750	272	1	plant	plant	NOUN
bjpt-78750	272	2	sci	sci	PROPN
bjpt-78750	272	3	.	.	PROPN
bjpt-78750	272	4	15	15	NUM
bjpt-78750	272	5	:	:	PUNCT
bjpt-78750	272	6	1456102	1456102	NUM
bjpt-78750	272	7	.	.	PUNCT
bjpt-78750	273	1	liu	liu	PROPN
bjpt-78750	273	2	,	,	PUNCT
bjpt-78750	273	3	s.	s.	PROPN
bjpt-78750	273	4	,	,	PUNCT
bjpt-78750	273	5	zenda	zenda	NOUN
bjpt-78750	273	6	,	,	PUNCT
bjpt-78750	273	7	t.	t.	PROPN
bjpt-78750	273	8	,	,	PUNCT
bjpt-78750	273	9	tian	tian	PROPN
bjpt-78750	273	10	,	,	PUNCT
bjpt-78750	273	11	z.	z.	PROPN
bjpt-78750	273	12	and	and	CCONJ
bjpt-78750	273	13	huang	huang	PROPN
bjpt-78750	273	14	,	,	PUNCT
bjpt-78750	273	15	z.	z.	PROPN
bjpt-78750	273	16	2023	2023	NUM
bjpt-78750	273	17	.	.	PUNCT
bjpt-78750	274	1	metabolic	metabolic	NOUN
bjpt-78750	274	2	pathways	pathway	NOUN
bjpt-78750	274	3	engineering	engineering	NOUN
bjpt-78750	274	4	for	for	ADP
bjpt-78750	274	5	drought	drought	NOUN
bjpt-78750	274	6	or	or	CCONJ
bjpt-78750	274	7	/	/	SYM
bjpt-78750	274	8	and	and	CCONJ
bjpt-78750	274	9	heat	heat	NOUN
bjpt-78750	274	10	tolerance	tolerance	NOUN
bjpt-78750	274	11	in	in	ADP
bjpt-78750	274	12	cereals	cereal	NOUN
bjpt-78750	274	13	.	.	PUNCT
bjpt-78750	275	1	front	front	ADJ
bjpt-78750	275	2	.	.	PUNCT
bjpt-78750	276	1	plant	plant	NOUN
bjpt-78750	276	2	sci	sci	PROPN
bjpt-78750	276	3	.	.	PROPN
bjpt-78750	277	1	14	14	NUM
bjpt-78750	277	2	:	:	SYM
bjpt-78750	277	3	1111875	1111875	NUM
bjpt-78750	277	4	.	.	PUNCT
bjpt-78750	278	1	liu	liu	PROPN
bjpt-78750	278	2	,	,	PUNCT
bjpt-78750	278	3	x.	x.	PROPN
bjpt-78750	278	4	,	,	PUNCT
bjpt-78750	278	5	gong	gong	PROPN
bjpt-78750	278	6	,	,	PUNCT
bjpt-78750	278	7	x.	x.	PROPN
bjpt-78750	278	8	,	,	PUNCT
bjpt-78750	278	9	liu	liu	PROPN
bjpt-78750	278	10	,	,	PUNCT
bjpt-78750	278	11	y.	y.	PROPN
bjpt-78750	278	12	,	,	PUNCT
bjpt-78750	278	13	liu	liu	PROPN
bjpt-78750	278	14	,	,	PUNCT
bjpt-78750	278	15	j.	j.	PROPN
bjpt-78750	278	16	,	,	PUNCT
bjpt-78750	278	17	zhang	zhang	PROPN
bjpt-78750	278	18	,	,	PUNCT
bjpt-78750	278	19	h.	h.	PROPN
bjpt-78750	278	20	,	,	PUNCT
bjpt-78750	278	21	qiao	qiao	PROPN
bjpt-78750	278	22	,	,	PUNCT
bjpt-78750	278	23	s.	s.	PROPN
bjpt-78750	278	24	,	,	PUNCT
bjpt-78750	278	25	li	li	PROPN
bjpt-78750	278	26	,	,	PUNCT
bjpt-78750	278	27	g.	g.	PROPN
bjpt-78750	278	28	and	and	CCONJ
bjpt-78750	278	29	tang	tang	PROPN
bjpt-78750	278	30	,	,	PUNCT
bjpt-78750	278	31	m.	m.	NOUN
bjpt-78750	278	32	2022	2022	NUM
bjpt-78750	278	33	.	.	PUNCT
bjpt-78750	279	1	application	application	NOUN
bjpt-78750	279	2	of	of	ADP
bjpt-78750	279	3	highthroughput	highthroughput	NOUN
bjpt-78750	279	4	sequencing	sequence	VERB
bjpt-78750	279	5	on	on	ADP
bjpt-78750	279	6	the	the	DET
bjpt-78750	279	7	chinese	chinese	ADJ
bjpt-78750	279	8	herbal	herbal	ADJ
bjpt-78750	279	9	medicine	medicine	NOUN
bjpt-78750	279	10	for	for	ADP
bjpt-78750	279	11	the	the	DET
bjpt-78750	279	12	data	data	NOUN
bjpt-78750	279	13	-	-	PUNCT
bjpt-78750	279	14	mining	mining	NOUN
bjpt-78750	279	15	of	of	ADP
bjpt-78750	279	16	the	the	DET
bjpt-78750	279	17	bioactive	bioactive	PROPN
bjpt-78750	279	18	compounds	compound	NOUN
bjpt-78750	279	19	.	.	PUNCT
bjpt-78750	280	1	front	front	ADJ
bjpt-78750	280	2	.	.	PUNCT
bjpt-78750	281	1	plant	plant	NOUN
bjpt-78750	281	2	sci	sci	PROPN
bjpt-78750	281	3	.	.	PROPN
bjpt-78750	282	1	13	13	NUM
bjpt-78750	282	2	:	:	SYM
bjpt-78750	282	3	900035	900035	NUM
bjpt-78750	282	4	.	.	PUNCT
bjpt-78750	283	1	manni	manni	NOUN
bjpt-78750	283	2	,	,	PUNCT
bjpt-78750	283	3	m.	m.	NOUN
bjpt-78750	283	4	,	,	PUNCT
bjpt-78750	283	5	berkeley	berkeley	PROPN
bjpt-78750	283	6	,	,	PUNCT
bjpt-78750	283	7	m.r	m.r	PROPN
bjpt-78750	283	8	.	.	PROPN
bjpt-78750	283	9	,	,	PUNCT
bjpt-78750	283	10	seppey	seppey	NOUN
bjpt-78750	283	11	,	,	PUNCT
bjpt-78750	283	12	m.	m.	NOUN
bjpt-78750	283	13	and	and	CCONJ
bjpt-78750	283	14	zdobnov	zdobnov	PROPN
bjpt-78750	283	15	,	,	PUNCT
bjpt-78750	283	16	e.m	e.m	PROPN
bjpt-78750	283	17	.	.	PROPN
bjpt-78750	283	18	2021	2021	NUM
bjpt-78750	283	19	.	.	PUNCT
bjpt-78750	284	1	busco	busco	PROPN
bjpt-78750	284	2	:	:	PUNCT
bjpt-78750	284	3	assessing	assess	VERB
bjpt-78750	284	4	genomic	genomic	ADJ
bjpt-78750	284	5	data	datum	NOUN
bjpt-78750	284	6	quality	quality	NOUN
bjpt-78750	284	7	and	and	CCONJ
bjpt-78750	284	8	beyond	beyond	ADP
bjpt-78750	284	9	.	.	PUNCT
bjpt-78750	285	1	curr	curr	PROPN
bjpt-78750	285	2	.	.	PUNCT
bjpt-78750	285	3	prot	prot	PROPN
bjpt-78750	285	4	.	.	PROPN
bjpt-78750	285	5	1(12	1(12	NUM
bjpt-78750	285	6	):	):	PUNCT
bjpt-78750	285	7	e323	e323	PROPN
bjpt-78750	285	8	.	.	PUNCT
bjpt-78750	285	9	perez	perez	PROPN
bjpt-78750	285	10	-	-	PUNCT
bjpt-78750	285	11	riverol	riverol	NOUN
bjpt-78750	285	12	,	,	PUNCT
bjpt-78750	285	13	y.	y.	PROPN
bjpt-78750	285	14	,	,	PUNCT
bjpt-78750	285	15	gatto	gatto	PROPN
bjpt-78750	285	16	,	,	PUNCT
bjpt-78750	285	17	l.	l.	PROPN
bjpt-78750	285	18	,	,	PUNCT
bjpt-78750	285	19	wang	wang	PROPN
bjpt-78750	285	20	,	,	PUNCT
bjpt-78750	285	21	r.	r.	PROPN
bjpt-78750	285	22	,	,	PUNCT
bjpt-78750	285	23	sachsenberg	sachsenberg	PROPN
bjpt-78750	285	24	,	,	PUNCT
bjpt-78750	285	25	t.	t.	PROPN
bjpt-78750	285	26	,	,	PUNCT
bjpt-78750	285	27	uszkoreit	uszkoreit	PROPN
bjpt-78750	285	28	,	,	PUNCT
bjpt-78750	285	29	j.	j.	PROPN
bjpt-78750	285	30	,	,	PUNCT
bjpt-78750	285	31	leprevost	leprevost	ADV
bjpt-78750	285	32	,	,	PUNCT
bjpt-78750	285	33	f.d.v	f.d.v	PROPN
bjpt-78750	285	34	.	.	PROPN
bjpt-78750	285	35	,	,	PUNCT
bjpt-78750	285	36	fufezan	fufezan	PROPN
bjpt-78750	285	37	,	,	PUNCT
bjpt-78750	285	38	c.	c.	PROPN
bjpt-78750	285	39	,	,	PUNCT
bjpt-78750	285	40	ternent	ternent	NOUN
bjpt-78750	285	41	,	,	PUNCT
bjpt-78750	285	42	t.	t.	PROPN
bjpt-78750	285	43	,	,	PUNCT
bjpt-78750	285	44	eglen	eglen	VERB
bjpt-78750	285	45	,	,	PUNCT
bjpt-78750	285	46	s.j	s.j	PROPN
bjpt-78750	285	47	.	.	PROPN
bjpt-78750	285	48	,	,	PUNCT
bjpt-78750	285	49	katz	katz	PROPN
bjpt-78750	285	50	,	,	PUNCT
bjpt-78750	285	51	d.s	d.s	PROPN
bjpt-78750	285	52	.	.	PROPN
bjpt-78750	285	53	,	,	PUNCT
bjpt-78750	285	54	pollard	pollard	PROPN
bjpt-78750	285	55	,	,	PUNCT
bjpt-78750	285	56	t.j	t.j	PROPN
bjpt-78750	285	57	.	.	PROPN
bjpt-78750	285	58	,	,	PUNCT
bjpt-78750	285	59	konovalov	konovalov	PROPN
bjpt-78750	285	60	,	,	PUNCT
bjpt-78750	285	61	a.	a.	NOUN
bjpt-78750	285	62	,	,	PUNCT
bjpt-78750	285	63	flight	flight	NOUN
bjpt-78750	285	64	,	,	PUNCT
bjpt-78750	285	65	r.m	r.m	PROPN
bjpt-78750	285	66	.	.	PROPN
bjpt-78750	285	67	,	,	PUNCT
bjpt-78750	285	68	blin	blin	PROPN
bjpt-78750	285	69	,	,	PUNCT
bjpt-78750	285	70	k.	k.	PROPN
bjpt-78750	285	71	and	and	CCONJ
bjpt-78750	285	72	vizcaíno	vizcaíno	PROPN
bjpt-78750	285	73	,	,	PUNCT
bjpt-78750	285	74	j.a	j.a	PROPN
bjpt-78750	285	75	.	.	PROPN
bjpt-78750	285	76	2016	2016	NUM
bjpt-78750	285	77	.	.	PUNCT
bjpt-78750	286	1	ten	ten	NUM
bjpt-78750	286	2	simple	simple	ADJ
bjpt-78750	286	3	rules	rule	NOUN
bjpt-78750	286	4	for	for	ADP
bjpt-78750	286	5	taking	take	VERB
bjpt-78750	286	6	advantage	advantage	NOUN
bjpt-78750	286	7	of	of	ADP
bjpt-78750	286	8	git	git	NOUN
bjpt-78750	286	9	and	and	CCONJ
bjpt-78750	286	10	github	github	PROPN
bjpt-78750	286	11	.	.	PUNCT
bjpt-78750	287	1	plos	plos	PROPN
bjpt-78750	287	2	comput	comput	PROPN
bjpt-78750	287	3	.	.	PUNCT
bjpt-78750	288	1	biol	biol	PROPN
bjpt-78750	288	2	.	.	PUNCT
bjpt-78750	289	1	12(7	12(7	NUM
bjpt-78750	289	2	):	):	PUNCT
bjpt-78750	289	3	e1004947	e1004947	PROPN
bjpt-78750	289	4	.	.	PUNCT
bjpt-78750	289	5	pucker	pucker	PROPN
bjpt-78750	289	6	,	,	PUNCT
bjpt-78750	289	7	b.	b.	PROPN
bjpt-78750	289	8	,	,	PUNCT
bjpt-78750	289	9	irisarri	irisarri	PROPN
bjpt-78750	289	10	,	,	PUNCT
bjpt-78750	289	11	i.	i.	NOUN
bjpt-78750	289	12	,	,	PUNCT
bjpt-78750	289	13	de	de	PROPN
bjpt-78750	289	14	vries	vries	PROPN
bjpt-78750	289	15	,	,	PUNCT
bjpt-78750	289	16	j.	j.	PROPN
bjpt-78750	289	17	and	and	CCONJ
bjpt-78750	289	18	xu	xu	PROPN
bjpt-78750	289	19	,	,	PUNCT
bjpt-78750	289	20	b.	b.	PROPN
bjpt-78750	289	21	2022	2022	NUM
bjpt-78750	289	22	.	.	PUNCT
bjpt-78750	290	1	plant	plant	NOUN
bjpt-78750	290	2	genome	genome	NOUN
bjpt-78750	290	3	sequence	sequence	NOUN
bjpt-78750	290	4	assembly	assembly	NOUN
bjpt-78750	290	5	in	in	ADP
bjpt-78750	290	6	the	the	DET
bjpt-78750	290	7	era	era	NOUN
bjpt-78750	290	8	of	of	ADP
bjpt-78750	290	9	long	long	ADJ
bjpt-78750	290	10	reads	read	NOUN
bjpt-78750	290	11	:	:	PUNCT
bjpt-78750	290	12	progress	progress	NOUN
bjpt-78750	290	13	,	,	PUNCT
bjpt-78750	290	14	challenges	challenge	NOUN
bjpt-78750	290	15	and	and	CCONJ
bjpt-78750	290	16	future	future	ADJ
bjpt-78750	290	17	directions	direction	NOUN
bjpt-78750	290	18	.	.	PUNCT
bjpt-78750	291	1	quant	quant	NOUN
bjpt-78750	291	2	.	.	PUNCT
bjpt-78750	292	1	plant	plant	NOUN
bjpt-78750	292	2	biol	biol	NOUN
bjpt-78750	292	3	.	.	PUNCT
bjpt-78750	293	1	11(3	11(3	NUM
bjpt-78750	293	2	):	):	PUNCT
bjpt-78750	294	1	e5	e5	PROPN
bjpt-78750	294	2	.	.	PUNCT
bjpt-78750	295	1	rice	rice	PROPN
bjpt-78750	295	2	,	,	PUNCT
bjpt-78750	295	3	e.s	e.s	PROPN
bjpt-78750	295	4	.	.	PROPN
bjpt-78750	295	5	and	and	CCONJ
bjpt-78750	295	6	green	green	PROPN
bjpt-78750	295	7	,	,	PUNCT
bjpt-78750	295	8	r.e	r.e	PROPN
bjpt-78750	295	9	.	.	PROPN
bjpt-78750	295	10	2019	2019	NUM
bjpt-78750	295	11	.	.	PUNCT
bjpt-78750	296	1	new	new	ADJ
bjpt-78750	296	2	approaches	approach	NOUN
bjpt-78750	296	3	for	for	ADP
bjpt-78750	296	4	genome	genome	NOUN
bjpt-78750	296	5	assembly	assembly	NOUN
bjpt-78750	296	6	and	and	CCONJ
bjpt-78750	296	7	scaffolding	scaffolding	NOUN
bjpt-78750	296	8	.	.	PUNCT
bjpt-78750	297	1	annu	annu	NOUN
bjpt-78750	297	2	.	.	PUNCT
bjpt-78750	298	1	rev	rev	PROPN
bjpt-78750	298	2	.	.	PROPN
bjpt-78750	298	3	anim	anim	PROPN
bjpt-78750	298	4	.	.	PUNCT
bjpt-78750	299	1	biosci	biosci	PROPN
bjpt-78750	299	2	.	.	PUNCT
bjpt-78750	300	1	7	7	NUM
bjpt-78750	300	2	:	:	PUNCT
bjpt-78750	300	3	17–40	17–40	NUM
bjpt-78750	300	4	.	.	PUNCT
bjpt-78750	301	1	rodríguez	rodríguez	NOUN
bjpt-78750	301	2	del	del	PROPN
bjpt-78750	301	3	río	río	PROPN
bjpt-78750	301	4	,	,	PUNCT
bjpt-78750	301	5	á	á	PROPN
bjpt-78750	301	6	.	.	PROPN
bjpt-78750	301	7	,	,	PUNCT
bjpt-78750	301	8	giner	giner	NOUN
bjpt-78750	301	9	-	-	PUNCT
bjpt-78750	301	10	lamia	lamia	NOUN
bjpt-78750	301	11	,	,	PUNCT
bjpt-78750	301	12	j.	j.	PROPN
bjpt-78750	301	13	,	,	PUNCT
bjpt-78750	301	14	cantalapiedra	cantalapiedra	PROPN
bjpt-78750	301	15	,	,	PUNCT
bjpt-78750	301	16	c.p	c.p	PROPN
bjpt-78750	301	17	.	.	PROPN
bjpt-78750	301	18	,	,	PUNCT
bjpt-78750	301	19	botas	botas	PROPN
bjpt-78750	301	20	,	,	PUNCT
bjpt-78750	301	21	j.	j.	PROPN
bjpt-78750	301	22	,	,	PUNCT
bjpt-78750	301	23	deng	deng	PROPN
bjpt-78750	301	24	,	,	PUNCT
bjpt-78750	301	25	z.	z.	PROPN
bjpt-78750	301	26	,	,	PUNCT
bjpt-78750	301	27	hernández	hernández	PROPN
bjpt-78750	301	28	-	-	PUNCT
bjpt-78750	301	29	plaza	plaza	PROPN
bjpt-78750	301	30	,	,	PUNCT
bjpt-78750	301	31	a.	a.	NOUN
bjpt-78750	301	32	,	,	PUNCT
bjpt-78750	301	33	munar	munar	NOUN
bjpt-78750	301	34	-	-	PUNCT
bjpt-78750	301	35	palmer	palmer	NOUN
bjpt-78750	301	36	,	,	PUNCT
bjpt-78750	301	37	m.	m.	NOUN
bjpt-78750	301	38	,	,	PUNCT
bjpt-78750	301	39	santamaría	santamaría	PROPN
bjpt-78750	301	40	-	-	PUNCT
bjpt-78750	301	41	hernando	hernando	PROPN
bjpt-78750	301	42	,	,	PUNCT
bjpt-78750	301	43	s.	s.	PROPN
bjpt-78750	301	44	,	,	PUNCT
bjpt-78750	301	45	rodríguez	rodríguez	PROPN
bjpt-78750	301	46	-	-	PUNCT
bjpt-78750	301	47	herva	herva	PROPN
bjpt-78750	301	48	,	,	PUNCT
bjpt-78750	301	49	j.j	j.j	PROPN
bjpt-78750	301	50	.	.	PROPN
bjpt-78750	301	51	,	,	PUNCT
bjpt-78750	301	52	ruscheweyh	ruscheweyh	NOUN
bjpt-78750	301	53	,	,	PUNCT
bjpt-78750	301	54	h.j	h.j	PROPN
bjpt-78750	301	55	.	.	PROPN
bjpt-78750	301	56	,	,	PUNCT
bjpt-78750	301	57	paoli	paoli	PROPN
bjpt-78750	301	58	,	,	PUNCT
bjpt-78750	301	59	l.	l.	PROPN
bjpt-78750	301	60	,	,	PUNCT
bjpt-78750	301	61	schmidt	schmidt	NOUN
bjpt-78750	301	62	,	,	PUNCT
bjpt-78750	301	63	t.s.b	t.s.b	NOUN
bjpt-78750	301	64	.	.	PROPN
bjpt-78750	301	65	,	,	PUNCT
bjpt-78750	301	66	sunagawa	sunagawa	PROPN
bjpt-78750	301	67	,	,	PUNCT
bjpt-78750	301	68	s.	s.	PROPN
bjpt-78750	301	69	,	,	PUNCT
bjpt-78750	301	70	bork	bork	NOUN
bjpt-78750	301	71	,	,	PUNCT
bjpt-78750	301	72	p.	p.	PROPN
bjpt-78750	301	73	,	,	PUNCT
bjpt-78750	301	74	lópez	lópez	PROPN
bjpt-78750	301	75	-	-	PUNCT
bjpt-78750	301	76	solanill	solanill	PROPN
bjpt-78750	301	77	,	,	PUNCT
bjpt-78750	301	78	a	a	DET
bjpt-78750	301	79	e.	e.	PROPN
bjpt-78750	301	80	,	,	PUNCT
bjpt-78750	301	81	coelho	coelho	PROPN
bjpt-78750	301	82	,	,	PUNCT
bjpt-78750	301	83	l.p	l.p	PROPN
bjpt-78750	301	84	.	.	PROPN
bjpt-78750	301	85	and	and	CCONJ
bjpt-78750	301	86	huerta	huerta	PROPN
bjpt-78750	301	87	-	-	PUNCT
bjpt-78750	301	88	cepas	cepas	PROPN
bjpt-78750	301	89	,	,	PUNCT
bjpt-78750	301	90	j.	j.	PROPN
bjpt-78750	301	91	2024	2024	NUM
bjpt-78750	301	92	.	.	PUNCT
bjpt-78750	302	1	functional	functional	ADJ
bjpt-78750	302	2	and	and	CCONJ
bjpt-78750	302	3	evolutionary	evolutionary	ADJ
bjpt-78750	302	4	significance	significance	NOUN
bjpt-78750	302	5	of	of	ADP
bjpt-78750	302	6	unknown	unknown	ADJ
bjpt-78750	302	7	genes	gene	NOUN
bjpt-78750	302	8	from	from	ADP
bjpt-78750	302	9	uncultivated	uncultivated	ADJ
bjpt-78750	302	10	taxa	taxa	NOUN
bjpt-78750	302	11	.	.	PUNCT
bjpt-78750	303	1	nat	nat	NOUN
bjpt-78750	303	2	.	.	PUNCT
bjpt-78750	304	1	626(7998	626(7998	NUM
bjpt-78750	304	2	):	):	PUNCT
bjpt-78750	304	3	377–384	377–384	NUM
bjpt-78750	304	4	.	.	PUNCT
bjpt-78750	304	5	satam	satam	PROPN
bjpt-78750	304	6	,	,	PUNCT
bjpt-78750	304	7	h.	h.	PROPN
bjpt-78750	304	8	,	,	PUNCT
bjpt-78750	304	9	joshi	joshi	PROPN
bjpt-78750	304	10	,	,	PUNCT
bjpt-78750	304	11	k.	k.	PROPN
bjpt-78750	304	12	,	,	PUNCT
bjpt-78750	304	13	mangrolia	mangrolia	PROPN
bjpt-78750	304	14	,	,	PUNCT
bjpt-78750	304	15	u.	u.	PROPN
bjpt-78750	304	16	,	,	PUNCT
bjpt-78750	304	17	waghoo	waghoo	PROPN
bjpt-78750	304	18	,	,	PUNCT
bjpt-78750	304	19	s.	s.	PROPN
bjpt-78750	304	20	,	,	PUNCT
bjpt-78750	304	21	zaidi	zaidi	PROPN
bjpt-78750	304	22	,	,	PUNCT
bjpt-78750	304	23	g.	g.	PROPN
bjpt-78750	304	24	,	,	PUNCT
bjpt-78750	304	25	rawool	rawool	NOUN
bjpt-78750	304	26	,	,	PUNCT
bjpt-78750	304	27	s.	s.	PROPN
bjpt-78750	304	28	,	,	PUNCT
bjpt-78750	304	29	thakare	thakare	PROPN
bjpt-78750	304	30	,	,	PUNCT
bjpt-78750	304	31	r.p	r.p	PROPN
bjpt-78750	304	32	.	.	PROPN
bjpt-78750	304	33	,	,	PUNCT
bjpt-78750	304	34	banday	banday	NOUN
bjpt-78750	304	35	,	,	PUNCT
bjpt-78750	304	36	s.	s.	PROPN
bjpt-78750	304	37	,	,	PUNCT
bjpt-78750	304	38	mishra	mishra	PROPN
bjpt-78750	304	39	,	,	PUNCT
bjpt-78750	304	40	a.k	a.k	PROPN
bjpt-78750	304	41	.	.	PROPN
bjpt-78750	304	42	,	,	PUNCT
bjpt-78750	304	43	das	das	PROPN
bjpt-78750	304	44	,	,	PUNCT
bjpt-78750	304	45	g.	g.	PROPN
bjpt-78750	304	46	and	and	CCONJ
bjpt-78750	304	47	malonia	malonia	PROPN
bjpt-78750	304	48	,	,	PUNCT
bjpt-78750	304	49	s.k	s.k	PROPN
bjpt-78750	304	50	.	.	PROPN
bjpt-78750	304	51	2023	2023	NUM
bjpt-78750	304	52	.	.	PUNCT
bjpt-78750	305	1	next	next	ADJ
bjpt-78750	305	2	-	-	PUNCT
bjpt-78750	305	3	generation	generation	NOUN
bjpt-78750	305	4	sequencing	sequence	VERB
bjpt-78750	305	5	technology	technology	NOUN
bjpt-78750	305	6	:	:	PUNCT
bjpt-78750	305	7	current	current	ADJ
bjpt-78750	305	8	trends	trend	NOUN
bjpt-78750	305	9	and	and	CCONJ
bjpt-78750	305	10	advancements	advancement	NOUN
bjpt-78750	305	11	.	.	PUNCT
bjpt-78750	306	1	biol	biol	PROPN
bjpt-78750	306	2	.	.	PUNCT
bjpt-78750	307	1	12	12	NUM
bjpt-78750	307	2	:	:	PUNCT
bjpt-78750	307	3	997	997	NUM
bjpt-78750	307	4	.	.	PUNCT
bjpt-78750	307	5	shirasawa	shirasawa	PROPN
bjpt-78750	307	6	,	,	PUNCT
bjpt-78750	307	7	k.	k.	PROPN
bjpt-78750	307	8	,	,	PUNCT
bjpt-78750	307	9	harada	harada	PROPN
bjpt-78750	307	10	,	,	PUNCT
bjpt-78750	307	11	d.	d.	PROPN
bjpt-78750	307	12	,	,	PUNCT
bjpt-78750	307	13	hirakawa	hirakawa	PROPN
bjpt-78750	307	14	,	,	PUNCT
bjpt-78750	307	15	h.	h.	PROPN
bjpt-78750	307	16	,	,	PUNCT
bjpt-78750	307	17	isobe	isobe	NOUN
bjpt-78750	307	18	,	,	PUNCT
bjpt-78750	307	19	s.	s.	PROPN
bjpt-78750	307	20	and	and	CCONJ
bjpt-78750	307	21	kole	kole	PROPN
bjpt-78750	307	22	,	,	PUNCT
bjpt-78750	307	23	c.	c.	PROPN
bjpt-78750	307	24	2021	2021	NUM
bjpt-78750	307	25	.	.	PUNCT
bjpt-78750	308	1	chromosome	chromosome	NOUN
bjpt-78750	308	2	-	-	PUNCT
bjpt-78750	308	3	level	level	NOUN
bjpt-78750	308	4	de	de	X
bjpt-78750	308	5	novo	novo	NOUN
bjpt-78750	308	6	genome	genome	NOUN
bjpt-78750	308	7	assemblies	assembly	NOUN
bjpt-78750	308	8	of	of	ADP
bjpt-78750	308	9	over	over	ADP
bjpt-78750	308	10	100	100	NUM
bjpt-78750	308	11	plant	plant	NOUN
bjpt-78750	308	12	species	specie	NOUN
bjpt-78750	308	13	.	.	PUNCT
bjpt-78750	309	1	breed	breed	NOUN
bjpt-78750	309	2	.	.	PUNCT
bjpt-78750	310	1	sci	sci	PROPN
bjpt-78750	310	2	.	.	PUNCT
bjpt-78750	310	3	71(2	71(2	NUM
bjpt-78750	310	4	):	):	PUNCT
bjpt-78750	311	1	117–124	117–124	NUM
bjpt-78750	311	2	.	.	PUNCT
bjpt-78750	311	3	simão	simão	PROPN
bjpt-78750	311	4	,	,	PUNCT
bjpt-78750	311	5	f.a	f.a	PROPN
bjpt-78750	311	6	.	.	PROPN
bjpt-78750	311	7	,	,	PUNCT
bjpt-78750	311	8	waterhouse	waterhouse	PROPN
bjpt-78750	311	9	,	,	PUNCT
bjpt-78750	311	10	r.m	r.m	PROPN
bjpt-78750	311	11	.	.	PROPN
bjpt-78750	311	12	,	,	PUNCT
bjpt-78750	311	13	ioannidis	ioannidis	NOUN
bjpt-78750	311	14	,	,	PUNCT
bjpt-78750	311	15	p.	p.	PROPN
bjpt-78750	311	16	,	,	PUNCT
bjpt-78750	311	17	kriventseva	kriventseva	PROPN
bjpt-78750	311	18	,	,	PUNCT
bjpt-78750	311	19	e.v	e.v	PROPN
bjpt-78750	311	20	.	.	PROPN
bjpt-78750	311	21	and	and	CCONJ
bjpt-78750	311	22	zdobnov	zdobnov	PROPN
bjpt-78750	311	23	,	,	PUNCT
bjpt-78750	311	24	e.m	e.m	PROPN
bjpt-78750	311	25	.	.	PROPN
bjpt-78750	311	26	2015	2015	NUM
bjpt-78750	311	27	.	.	PUNCT
bjpt-78750	312	1	busco	busco	PROPN
bjpt-78750	312	2	:	:	PUNCT
bjpt-78750	312	3	assessing	assess	VERB
bjpt-78750	312	4	genome	genome	NOUN
bjpt-78750	312	5	assembly	assembly	NOUN
bjpt-78750	312	6	and	and	CCONJ
bjpt-78750	312	7	annotation	annotation	NOUN
bjpt-78750	312	8	completeness	completeness	NOUN
bjpt-78750	312	9	with	with	ADP
bjpt-78750	312	10	single	single	ADJ
bjpt-78750	312	11	-	-	PUNCT
bjpt-78750	312	12	copy	copy	NOUN
bjpt-78750	312	13	orthologs	ortholog	NOUN
bjpt-78750	312	14	.	.	PUNCT
bjpt-78750	313	1	bioinformatics	bioinformatic	NOUN
bjpt-78750	313	2	31(19	31(19	NUM
bjpt-78750	313	3	):	):	PUNCT
bjpt-78750	313	4	3210–3212	3210–3212	NUM
bjpt-78750	313	5	.	.	PUNCT
bjpt-78750	314	1	tarailo‐graovac	tarailo‐graovac	ADV
bjpt-78750	314	2	,	,	PUNCT
bjpt-78750	314	3	m.	m.	NOUN
bjpt-78750	314	4	and	and	CCONJ
bjpt-78750	314	5	chen	chen	PROPN
bjpt-78750	314	6	,	,	PUNCT
bjpt-78750	314	7	n.	n.	PROPN
bjpt-78750	314	8	2009	2009	NUM
bjpt-78750	314	9	.	.	PUNCT
bjpt-78750	315	1	using	use	VERB
bjpt-78750	315	2	repeatmasker	repeatmasker	NOUN
bjpt-78750	315	3	to	to	PART
bjpt-78750	315	4	identify	identify	VERB
bjpt-78750	315	5	repetitive	repetitive	ADJ
bjpt-78750	315	6	elements	element	NOUN
bjpt-78750	315	7	in	in	ADP
bjpt-78750	315	8	genomic	genomic	ADJ
bjpt-78750	315	9	sequences	sequence	NOUN
bjpt-78750	315	10	.	.	PUNCT
bjpt-78750	316	1	curr	curr	AUX
bjpt-78750	316	2	.	.	PUNCT
bjpt-78750	316	3	protoc	protoc	VERB
bjpt-78750	316	4	.	.	PUNCT
bjpt-78750	317	1	bioinformatics	bioinformatics	NOUN
bjpt-78750	317	2	25(1	25(1	NOUN
bjpt-78750	317	3	):	):	PUNCT
bjpt-78750	317	4	4–10	4–10	NOUN
bjpt-78750	317	5	.	.	PUNCT
bjpt-78750	318	1	tian	tian	ADJ
bjpt-78750	318	2	,	,	PUNCT
bjpt-78750	318	3	d.	d.	PROPN
bjpt-78750	318	4	,	,	PUNCT
bjpt-78750	318	5	xu	xu	PROPN
bjpt-78750	318	6	,	,	PUNCT
bjpt-78750	318	7	t.	t.	PROPN
bjpt-78750	318	8	,	,	PUNCT
bjpt-78750	318	9	kang	kang	PROPN
bjpt-78750	318	10	,	,	PUNCT
bjpt-78750	318	11	h.	h.	PROPN
bjpt-78750	318	12	,	,	PUNCT
bjpt-78750	318	13	luo	luo	PROPN
bjpt-78750	318	14	,	,	PUNCT
bjpt-78750	318	15	h.	h.	PROPN
bjpt-78750	318	16	,	,	PUNCT
bjpt-78750	318	17	wang	wang	PROPN
bjpt-78750	318	18	,	,	PUNCT
bjpt-78750	318	19	y.	y.	PROPN
bjpt-78750	318	20	,	,	PUNCT
bjpt-78750	318	21	chen	chen	PROPN
bjpt-78750	318	22	,	,	PUNCT
bjpt-78750	318	23	m.	m.	NOUN
bjpt-78750	318	24	,	,	PUNCT
bjpt-78750	318	25	li	li	PROPN
bjpt-78750	318	26	,	,	PUNCT
bjpt-78750	318	27	r.	r.	PROPN
bjpt-78750	318	28	,	,	PUNCT
bjpt-78750	318	29	ma	ma	PROPN
bjpt-78750	318	30	,	,	PUNCT
bjpt-78750	318	31	l.	l.	PROPN
bjpt-78750	318	32	,	,	PUNCT
bjpt-78750	318	33	wang	wang	PROPN
bjpt-78750	318	34	,	,	PUNCT
bjpt-78750	318	35	z.	z.	PROPN
bjpt-78750	318	36	,	,	PUNCT
bjpt-78750	318	37	hao	hao	PROPN
bjpt-78750	318	38	,	,	PUNCT
bjpt-78750	318	39	l.	l.	PROPN
bjpt-78750	318	40	,	,	PUNCT
bjpt-78750	318	41	tang	tang	PROPN
bjpt-78750	318	42	,	,	PUNCT
bjpt-78750	318	43	b.	b.	PROPN
bjpt-78750	318	44	,	,	PUNCT
bjpt-78750	318	45	zou	zou	PROPN
bjpt-78750	318	46	,	,	PUNCT
bjpt-78750	318	47	d.	d.	PROPN
bjpt-78750	318	48	,	,	PUNCT
bjpt-78750	318	49	xiao	xiao	PROPN
bjpt-78750	318	50	,	,	PUNCT
bjpt-78750	318	51	j.	j.	PROPN
bjpt-78750	318	52	,	,	PUNCT
bjpt-78750	318	53	zhao	zhao	PROPN
bjpt-78750	318	54	,	,	PUNCT
bjpt-78750	318	55	w.	w.	PROPN
bjpt-78750	318	56	,	,	PUNCT
bjpt-78750	318	57	bao	bao	PROPN
bjpt-78750	318	58	,	,	PUNCT
bjpt-78750	318	59	y.	y.	PROPN
bjpt-78750	318	60	,	,	PUNCT
bjpt-78750	318	61	zhang	zhang	PROPN
bjpt-78750	318	62	,	,	PUNCT
bjpt-78750	318	63	z.	z.	PROPN
bjpt-78750	318	64	and	and	CCONJ
bjpt-78750	318	65	song	song	PROPN
bjpt-78750	318	66	,	,	PUNCT
bjpt-78750	318	67	s.	s.	PROPN
bjpt-78750	318	68	2024	2024	NUM
bjpt-78750	318	69	.	.	PUNCT
bjpt-78750	319	1	plant	plant	NOUN
bjpt-78750	319	2	genomic	genomic	NOUN
bjpt-78750	319	3	resources	resource	NOUN
bjpt-78750	319	4	at	at	ADP
bjpt-78750	319	5	national	national	ADJ
bjpt-78750	319	6	genomics	genomic	NOUN
bjpt-78750	319	7	data	datum	NOUN
bjpt-78750	319	8	center	center	NOUN
bjpt-78750	319	9	:	:	PUNCT
bjpt-78750	319	10	assisting	assist	VERB
bjpt-78750	319	11	in	in	ADP
bjpt-78750	319	12	data	data	NOUN
bjpt-78750	319	13	-	-	PUNCT
bjpt-78750	319	14	driven	drive	VERB
bjpt-78750	319	15	breeding	breeding	NOUN
bjpt-78750	319	16	applications	application	NOUN
bjpt-78750	319	17	.	.	PUNCT
bjpt-78750	320	1	abiotech	abiotech	NOUN
bjpt-78750	320	2	5	5	NUM
bjpt-78750	320	3	:	:	PUNCT
bjpt-78750	320	4	94–106	94–106	NUM
bjpt-78750	320	5	.	.	PUNCT
bjpt-78750	321	1	wickham	wickham	PROPN
bjpt-78750	321	2	,	,	PUNCT
bjpt-78750	321	3	h.	h.	PROPN
bjpt-78750	321	4	2011	2011	NUM
bjpt-78750	321	5	.	.	PUNCT
bjpt-78750	322	1	ggplot2	ggplot2	PROPN
bjpt-78750	322	2	.	.	PUNCT
bjpt-78750	323	1	wiley	wiley	PROPN
bjpt-78750	323	2	interdiscip	interdiscip	NOUN
bjpt-78750	323	3	.	.	PUNCT
bjpt-78750	324	1	rev	rev	PROPN
bjpt-78750	324	2	.	.	PROPN
bjpt-78750	324	3	comput	comput	PROPN
bjpt-78750	324	4	.	.	PUNCT
bjpt-78750	325	1	stat	stat	PROPN
bjpt-78750	325	2	.	.	PUNCT
bjpt-78750	326	1	3(2	3(2	NUM
bjpt-78750	326	2	):	):	PUNCT
bjpt-78750	327	1	180–185	180–185	NUM
bjpt-78750	327	2	.	.	PUNCT
bjpt-78750	328	1	zhang	zhang	PROPN
bjpt-78750	328	2	,	,	PUNCT
bjpt-78750	328	3	w.	w.	PROPN
bjpt-78750	328	4	,	,	PUNCT
bjpt-78750	328	5	chen	chen	PROPN
bjpt-78750	328	6	,	,	PUNCT
bjpt-78750	328	7	j.	j.	PROPN
bjpt-78750	328	8	,	,	PUNCT
bjpt-78750	328	9	yang	yang	PROPN
bjpt-78750	328	10	,	,	PUNCT
bjpt-78750	328	11	y.	y.	PROPN
bjpt-78750	328	12	,	,	PUNCT
bjpt-78750	328	13	tang	tang	PROPN
bjpt-78750	328	14	,	,	PUNCT
bjpt-78750	328	15	y.	y.	PROPN
bjpt-78750	328	16	,	,	PUNCT
bjpt-78750	328	17	shang	shang	PROPN
bjpt-78750	328	18	,	,	PUNCT
bjpt-78750	328	19	j.	j.	PROPN
bjpt-78750	328	20	and	and	CCONJ
bjpt-78750	328	21	shen	shen	PROPN
bjpt-78750	328	22	,	,	PUNCT
bjpt-78750	328	23	b.	b.	PROPN
bjpt-78750	328	24	2011	2011	NUM
bjpt-78750	328	25	.	.	PUNCT
bjpt-78750	329	1	a	a	DET
bjpt-78750	329	2	practical	practical	ADJ
bjpt-78750	329	3	comparison	comparison	NOUN
bjpt-78750	329	4	of	of	ADP
bjpt-78750	329	5	de	de	X
bjpt-78750	329	6	novo	novo	NOUN
bjpt-78750	329	7	genome	genome	NOUN
bjpt-78750	329	8	assembly	assembly	NOUN
bjpt-78750	329	9	software	software	NOUN
bjpt-78750	329	10	tools	tool	NOUN
bjpt-78750	329	11	for	for	ADP
bjpt-78750	329	12	next	next	ADJ
bjpt-78750	329	13	-	-	PUNCT
bjpt-78750	329	14	generation	generation	NOUN
bjpt-78750	329	15	sequencing	sequence	VERB
bjpt-78750	329	16	technologies	technology	NOUN
bjpt-78750	329	17	.	.	PUNCT
bjpt-78750	330	1	plos	plos	PROPN
bjpt-78750	330	2	one	one	NUM
bjpt-78750	330	3	6(3	6(3	NUM
bjpt-78750	330	4	):	):	PUNCT
bjpt-78750	330	5	e17915	e17915	ADJ
bjpt-78750	330	6	.	.	PUNCT
bjpt-78750	331	1	(	(	PUNCT
bjpt-78750	331	2	manuscript	manuscript	NOUN
bjpt-78750	331	3	received	receive	VERB
bjpt-78750	331	4	on	on	ADP
bjpt-78750	331	5	22	22	NUM
bjpt-78750	331	6	september	september	PROPN
bjpt-78750	331	7	2024	2024	NUM
bjpt-78750	331	8	;	;	PUNCT
bjpt-78750	331	9	revised	revise	VERB
bjpt-78750	331	10	on	on	ADP
bjpt-78750	331	11	28	28	NUM
bjpt-78750	331	12	november	november	PROPN
bjpt-78750	331	13	2024	2024	NUM
bjpt-78750	331	14	)	)	PUNCT