An integrative method for identifying the over-annotated protein-coding genes in microbial genomes.

ABSTRACT: The falsely annotated protein-coding genes have been deemed one of the major causes accounting for the annotating errors in public databases. Although many filtering approaches have been designed for the over-annotated protein-coding genes, some are questionable due to the resultant increase in false negative. Furthermore, there is no webserver or software specifically devised for the problem of over-annotation. In this study, we propose an integrative algorithm for detecting the over-annotated protein-coding genes in microorganisms. Overall, an average accuracy of 99.94% is achieved over 61 microbial genomes. The extremely high accuracy indicates that the presented algorithm is efficient to differentiate the protein-coding genes from the non-coding open reading frames. Abundant analyses s

SUBMITTER: Yu JF 

PROVIDER: S-EPMC3223076 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature