OrtSuite: from genomes to prediction of microbial interactions within targeted ecosystem processes.

ABSTRACT: The high complexity found in microbial communities makes the identification of microbial interactions challenging. To address this challenge, we present OrtSuite, a flexible workflow to predict putative microbial interactions based on genomic content of microbial communities and targeted to specific ecosystem processes. The pipeline is composed of three user-friendly bash commands. OrtSuite combines ortholog clustering with genome annotation strategies limited to user-defined sets of functions allowing for hypothesis-driven data analysis such as assessing microbial interactions in specific ecosystems. OrtSuite matched, on average, 96% of experimentally verified KEGG orthologs involved in benzoate degradation in a known group of benzoate degraders. We evaluated the identification of putativ

SUBMITTER: Saraiva JP 

PROVIDER: S-EPMC8500227 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature