Combining multiple functional annotation tools increases coverage of metabolic annotation.

ABSTRACT:

Background

Genome-scale metabolic modeling is a cornerstone of systems biology analysis of microbial organisms and communities, yet these genome-scale modeling efforts are invariably based on incomplete functional annotations. Annotated genomes typically contain 30-50% of genes without functional annotation, severely limiting our knowledge of the "parts lists" that the organisms have at their disposal. These incomplete annotations may be sufficient to derive a model of a core set of well-studied metabolic pathways that support growth in pure culture. However, pathways important for growth on unusual metabolites exchanged in complex microbial communities are often less understood, resulting in missing functional annotations in newly sequenced genomes.

Results

Here, we present

SUBMITTER: Griesemer M 

PROVIDER: S-EPMC6299973 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature