id	sid	tid	token	lemma	pos
pk02c824t12	1	1	genome	genome	NOUN
pk02c824t12	1	2	structure	structure	NOUN
pk02c824t12	1	3	is	be	AUX
pk02c824t12	1	4	the	the	DET
pk02c824t12	1	5	order	order	NOUN
pk02c824t12	1	6	and	and	CCONJ
pk02c824t12	1	7	orientation	orientation	NOUN
pk02c824t12	1	8	of	of	ADP
pk02c824t12	1	9	pieces	piece	NOUN
pk02c824t12	1	10	of	of	ADP
pk02c824t12	1	11	dna	dna	NOUN
pk02c824t12	1	12	comprising	comprise	VERB
pk02c824t12	1	13	a	a	DET
pk02c824t12	1	14	genome	genome	NOUN
pk02c824t12	1	15	,	,	PUNCT
pk02c824t12	1	16	which	which	PRON
pk02c824t12	1	17	contains	contain	VERB
pk02c824t12	1	18	the	the	DET
pk02c824t12	1	19	information	information	NOUN
pk02c824t12	1	20	of	of	ADP
pk02c824t12	1	21	life	life	NOUN
pk02c824t12	1	22	.	.	PUNCT
pk02c824t12	2	1	with	with	ADP
pk02c824t12	2	2	advances	advance	NOUN
pk02c824t12	2	3	in	in	ADP
pk02c824t12	2	4	dna	dna	NOUN
pk02c824t12	2	5	sequencing	sequence	VERB
pk02c824t12	2	6	technology	technology	NOUN
pk02c824t12	2	7	and	and	CCONJ
pk02c824t12	2	8	now	now	ADV
pk02c824t12	2	9	massive	massive	ADJ
pk02c824t12	2	10	availability	availability	NOUN
pk02c824t12	2	11	of	of	ADP
pk02c824t12	2	12	sequence	sequence	NOUN
pk02c824t12	2	13	data	datum	NOUN
pk02c824t12	2	14	,	,	PUNCT
pk02c824t12	2	15	the	the	DET
pk02c824t12	2	16	study	study	NOUN
pk02c824t12	2	17	of	of	ADP
pk02c824t12	2	18	genome	genome	NOUN
pk02c824t12	2	19	structure	structure	NOUN
pk02c824t12	2	20	can	can	AUX
pk02c824t12	2	21	not	not	PART
pk02c824t12	2	22	be	be	AUX
pk02c824t12	2	23	easily	easily	ADV
pk02c824t12	2	24	carried	carry	VERB
pk02c824t12	2	25	out	out	ADP
pk02c824t12	2	26	without	without	ADP
pk02c824t12	2	27	efficient	efficient	ADJ
pk02c824t12	2	28	and	and	CCONJ
pk02c824t12	2	29	expressly	expressly	ADV
pk02c824t12	2	30	designed	design	VERB
pk02c824t12	2	31	algorithms	algorithm	NOUN
pk02c824t12	2	32	.	.	PUNCT
pk02c824t12	3	1	in	in	ADP
pk02c824t12	3	2	this	this	DET
pk02c824t12	3	3	dissertation	dissertation	NOUN
pk02c824t12	3	4	,	,	PUNCT
pk02c824t12	3	5	we	we	PRON
pk02c824t12	3	6	study	study	VERB
pk02c824t12	3	7	three	three	NUM
pk02c824t12	3	8	genome	genome	NOUN
pk02c824t12	3	9	structure	structure	NOUN
pk02c824t12	3	10	-	-	PUNCT
pk02c824t12	3	11	related	relate	VERB
pk02c824t12	3	12	problems	problem	NOUN
pk02c824t12	3	13	:	:	PUNCT
pk02c824t12	3	14	structural	structural	ADJ
pk02c824t12	3	15	error	error	NOUN
pk02c824t12	3	16	correction	correction	NOUN
pk02c824t12	3	17	of	of	ADP
pk02c824t12	3	18	draft	draft	NOUN
pk02c824t12	3	19	genome	genome	NOUN
pk02c824t12	3	20	assemblies	assembly	NOUN
pk02c824t12	3	21	,	,	PUNCT
pk02c824t12	3	22	inversion	inversion	NOUN
pk02c824t12	3	23	prediction	prediction	NOUN
pk02c824t12	3	24	,	,	PUNCT
pk02c824t12	3	25	and	and	CCONJ
pk02c824t12	3	26	predicting	predict	VERB
pk02c824t12	3	27	operons	operon	NOUN
pk02c824t12	3	28	.	.	PUNCT
pk02c824t12	4	1	our	our	PRON
pk02c824t12	4	2	work	work	NOUN
pk02c824t12	4	3	with	with	ADP
pk02c824t12	4	4	draft	draft	NOUN
pk02c824t12	4	5	genome	genome	NOUN
pk02c824t12	4	6	assemblies	assembly	NOUN
pk02c824t12	4	7	explores	explore	VERB
pk02c824t12	4	8	a	a	DET
pk02c824t12	4	9	novel	novel	ADJ
pk02c824t12	4	10	maximum	maximum	NOUN
pk02c824t12	4	11	alternating	alternate	VERB
pk02c824t12	4	12	path	path	NOUN
pk02c824t12	4	13	cover	cover	NOUN
pk02c824t12	4	14	(	(	PUNCT
pk02c824t12	4	15	mapc	mapc	NOUN
pk02c824t12	4	16	)	)	PUNCT
pk02c824t12	4	17	model	model	NOUN
pk02c824t12	4	18	to	to	PART
pk02c824t12	4	19	improve	improve	VERB
pk02c824t12	4	20	genome	genome	NOUN
pk02c824t12	4	21	correctness	correctness	NOUN
pk02c824t12	4	22	and	and	CCONJ
pk02c824t12	4	23	downstream	downstream	ADJ
pk02c824t12	4	24	analysis	analysis	NOUN
pk02c824t12	4	25	.	.	PUNCT
pk02c824t12	5	1	our	our	PRON
pk02c824t12	5	2	work	work	NOUN
pk02c824t12	5	3	on	on	ADP
pk02c824t12	5	4	inversion	inversion	NOUN
pk02c824t12	5	5	prediction	prediction	NOUN
pk02c824t12	5	6	aims	aim	VERB
pk02c824t12	5	7	to	to	PART
pk02c824t12	5	8	predict	predict	VERB
pk02c824t12	5	9	and	and	CCONJ
pk02c824t12	5	10	catalog	catalog	NOUN
pk02c824t12	5	11	inversions	inversion	NOUN
pk02c824t12	5	12	by	by	ADP
pk02c824t12	5	13	exploring	explore	VERB
pk02c824t12	5	14	the	the	DET
pk02c824t12	5	15	well	well	ADV
pk02c824t12	5	16	-	-	PUNCT
pk02c824t12	5	17	known	know	VERB
pk02c824t12	5	18	range	range	NOUN
pk02c824t12	5	19	maximum	maximum	ADJ
pk02c824t12	5	20	query	query	NOUN
pk02c824t12	5	21	model	model	NOUN
pk02c824t12	5	22	and	and	CCONJ
pk02c824t12	5	23	max	max	PROPN
pk02c824t12	5	24	-	-	PUNCT
pk02c824t12	5	25	cut	cut	VERB
pk02c824t12	5	26	model	model	NOUN
pk02c824t12	5	27	for	for	ADP
pk02c824t12	5	28	what	what	PRON
pk02c824t12	5	29	we	we	PRON
pk02c824t12	5	30	call	call	VERB
pk02c824t12	5	31	`	`	PUNCT
pk02c824t12	5	32	`	`	PUNCT
pk02c824t12	5	33	global	global	ADJ
pk02c824t12	5	34	''	''	PUNCT
pk02c824t12	5	35	inversions	inversion	NOUN
pk02c824t12	5	36	,	,	PUNCT
pk02c824t12	5	37	and	and	CCONJ
pk02c824t12	5	38	the	the	DET
pk02c824t12	5	39	novel	novel	ADJ
pk02c824t12	5	40	rectangle	rectangle	NOUN
pk02c824t12	5	41	clustering	clustering	NOUN
pk02c824t12	5	42	model	model	NOUN
pk02c824t12	5	43	and	and	CCONJ
pk02c824t12	5	44	representative	representative	ADJ
pk02c824t12	5	45	rectangle	rectangle	ADJ
pk02c824t12	5	46	prediction	prediction	NOUN
pk02c824t12	5	47	model	model	NOUN
pk02c824t12	5	48	for	for	ADP
pk02c824t12	5	49	more	more	ADV
pk02c824t12	5	50	localized	localized	ADJ
pk02c824t12	5	51	inversions	inversion	NOUN
pk02c824t12	5	52	.	.	PUNCT
pk02c824t12	6	1	for	for	ADP
pk02c824t12	6	2	operon	operon	NOUN
pk02c824t12	6	3	prediction	prediction	NOUN
pk02c824t12	6	4	,	,	PUNCT
pk02c824t12	6	5	we	we	PRON
pk02c824t12	6	6	again	again	ADV
pk02c824t12	6	7	apply	apply	VERB
pk02c824t12	6	8	the	the	DET
pk02c824t12	6	9	mapc	mapc	NOUN
pk02c824t12	6	10	model	model	NOUN
pk02c824t12	6	11	(	(	PUNCT
pk02c824t12	6	12	with	with	ADP
pk02c824t12	6	13	improved	improved	ADJ
pk02c824t12	6	14	algorithms	algorithm	NOUN
pk02c824t12	6	15	and	and	CCONJ
pk02c824t12	6	16	theoretical	theoretical	ADJ
pk02c824t12	6	17	analysis	analysis	NOUN
pk02c824t12	6	18	)	)	PUNCT
pk02c824t12	6	19	,	,	PUNCT
pk02c824t12	6	20	coupled	couple	VERB
pk02c824t12	6	21	with	with	ADP
pk02c824t12	6	22	a	a	DET
pk02c824t12	6	23	novel	novel	ADJ
pk02c824t12	6	24	intro	intro	PROPN
pk02c824t12	6	25	-	-	PUNCT
pk02c824t12	6	26	column	column	NOUN
pk02c824t12	6	27	exclusive	exclusive	ADJ
pk02c824t12	6	28	clustering	clustering	NOUN
pk02c824t12	6	29	model	model	NOUN
pk02c824t12	6	30	,	,	PUNCT
pk02c824t12	6	31	to	to	PART
pk02c824t12	6	32	predict	predict	VERB
pk02c824t12	6	33	and	and	CCONJ
pk02c824t12	6	34	catalog	catalog	NOUN
pk02c824t12	6	35	operons	operon	NOUN
pk02c824t12	6	36	in	in	ADP
pk02c824t12	6	37	closely	closely	ADV
pk02c824t12	6	38	related	relate	VERB
pk02c824t12	6	39	species	specie	NOUN
pk02c824t12	6	40	.	.	PUNCT
pk02c824t12	7	1	evaluated	evaluate	VERB
pk02c824t12	7	2	using	use	VERB
pk02c824t12	7	3	both	both	CCONJ
pk02c824t12	7	4	simulated	simulated	ADJ
pk02c824t12	7	5	and	and	CCONJ
pk02c824t12	7	6	real	real	ADJ
pk02c824t12	7	7	genome	genome	NOUN
pk02c824t12	7	8	data	datum	NOUN
pk02c824t12	7	9	,	,	PUNCT
pk02c824t12	7	10	our	our	PRON
pk02c824t12	7	11	algorithms	algorithm	NOUN
pk02c824t12	7	12	and	and	CCONJ
pk02c824t12	7	13	implementations	implementation	NOUN
pk02c824t12	7	14	have	have	AUX
pk02c824t12	7	15	shown	show	VERB
pk02c824t12	7	16	substantial	substantial	ADJ
pk02c824t12	7	17	promise	promise	NOUN
pk02c824t12	7	18	for	for	ADP
pk02c824t12	7	19	accurate	accurate	ADJ
pk02c824t12	7	20	computational	computational	ADJ
pk02c824t12	7	21	analysis	analysis	NOUN
pk02c824t12	7	22	of	of	ADP
pk02c824t12	7	23	genome	genome	NOUN
pk02c824t12	7	24	structure	structure	NOUN
pk02c824t12	7	25	in	in	ADP
pk02c824t12	7	26	significantly	significantly	ADV
pk02c824t12	7	27	shorter	short	ADJ
pk02c824t12	7	28	time	time	NOUN
pk02c824t12	7	29	.	.	PUNCT