High precision multi-genome scale reannotation of enzyme function by EFICAz.

ABSTRACT:

Background

The functional annotation of most genes in newly sequenced genomes is inferred from similarity to previously characterized sequences, an annotation strategy that often leads to erroneous assignments. We have performed a reannotation of 245 genomes using an updated version of EFICAz, a highly precise method for enzyme function prediction.

Results

Based on our three-field EC number predictions, we have obtained lower-bound estimates for the average enzyme content in Archaea (29%), Bacteria (30%) and Eukarya (18%). Most annotations added in KEGG from 2005 to 2006 agree with EFICAz predictions made in 2005. The coverage of EFICAz predictions is significantly higher than that of KEGG, especially for eukaryotes. Thousands of our novel predictions correspond to hypotheti

SUBMITTER: Arakaki AK 

PROVIDER: S-EPMC1764738 | biostudies-literature | 2006 Dec

REPOSITORIES: biostudies-literature