KEMET - A python tool for KEGG Module evaluation and microbial genome annotation expansion.

ABSTRACT:

Background

The rapid accumulation of sequencing data from metagenomic studies is enabling the generation of huge collections of microbial genomes, with new challenges for mapping their functional potential. In particular, metagenome-assembled genomes are typically incomplete and harbor partial gene sequences that can limit their annotation from traditional tools. New scalable solutions are thus needed to facilitate the evaluation of functional potential in microbial genomes.

Methods

To resolve annotation gaps in microbial genomes, we developed KEMET, an open-source Python library devised for the analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) functional units. KEMET focuses on the in-depth analysis of metabolic reaction networks to identify missing orthologs throu

SUBMITTER: Palu M 

PROVIDER: S-EPMC8976094 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature