VIGOR, an annotation program for small viral genomes

BMC Bioinformatics

Table 2 Comparative analysis of the annotations in GenBank and predictions by VIGOR, GeneMarkS and ZCURVE_V of RNA viruses, coronaviruses (CoV), SARS coronaviruses (SARS) and rhinoviruses (Rhv)

		No. of gen.	No. of genes	No. of correct pred.	Sp(%)/Sn(%)	No. of partial correct genes	No. of missing genes	No. of mis-Pred. genes	No. of new genes	Pred. mat. pep.
	Ref. Seq.	38	341
	VIGOR		354	353	99.72/99.44	1	1	0	14	No
CoV
	GeneMarkS		314	247	78.66/69.58	53	48	14	7	No
	ZCURVE_V		339	256	75.52/72.11	50	34	26	7	No
	Ref. Seq.	102	1322
	VIGOR		1447	1447	100/99.93	0	1	0	127	Yes
SARS
	GeneMarkS		941	701	74.50/48.41	119	523	121	21	No
	ZCURVE_V		1204	1034	85.88/71.41	107	257	63	76	No
	Ref. Seq.	36	36
	VIGOR		36	36	100/100	0	0	0	0	Yes
Rhv
	GeneMarkS		45	32	71.11/88.89	4	0	9	0	No
	ZCURVE_V		77	30	38.96/83.33	6	0	41	0	No

ISSN: 1471-2105