MIMOSA2: a metabolic network-based tool for inferring mechanism-supported relationships in microbiome-metabolome data.

ABSTRACT:

Motivation

Recent technological developments have facilitated an expansion of microbiome-metabolome studies, in which samples are assayed using both genomic and metabolomic technologies to characterize the abundances of microbial taxa and metabolites. A common goal of these studies is to identify microbial species or genes that contribute to differences in metabolite levels across samples. Previous work indicated that integrating these datasets with reference knowledge on microbial metabolic capacities may enable more precise and confident inference of microbe-metabolite links.

Results

We present MIMOSA2, an R package and web application for model-based integrative analysis of microbiome-metabolome datasets. MIMOSA2 uses genomic and metabolic reference databases to construct

SUBMITTER: Noecker C 

PROVIDER: S-EPMC8896604 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature