ZCURVE_V: a new self-training system for recognizing protein-coding genes in viral and phage genomes.

ABSTRACT:

Background

It necessary to use highly accurate and statistics-based systems for viral and phage genome annotations. The GeneMark systems for gene-finding in virus and phage genomes suffer from some basic drawbacks. This paper puts forward an alternative approach for viral and phage gene-finding to improve the quality of annotations, particularly for newly sequenced genomes.

Results

The new system ZCURVE_V has been run for 979 viral and 212 phage genomes, respectively, and satisfactory results are obtained. To have a fair comparison with the currently available software of similar function, GeneMark, a total of 30 viral genomes that have not been annotated by GeneMark are selected to be tested. Consequently, the average specificity of both systems is well matched, however the

SUBMITTER: Guo FB 

PROVIDER: S-EPMC1352377 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature