PSORTm: a bacterial and archaeal protein subcellular localization prediction tool for metagenomics data.

ABSTRACT: MOTIVATION:Many methods for microbial protein subcellular localization (SCL) prediction exist; however, none is readily available for analysis of metagenomic sequence data, despite growing interest from researchers studying microbial communities in humans, agri-food relevant organisms and in other environments (e.g. for identification of cell-surface biomarkers for rapid protein-based diagnostic tests). We wished to also identify new markers of water quality from freshwater samples collected from pristine versus pollution-impacted watersheds. RESULTS:We report PSORTm, the first bioinformatics tool designed for prediction of diverse bacterial and archaeal protein SCL from metagenomics data. PSORTm incorporates components of PSORTb, one of the most precise and widely used protein SCL predict

SUBMITTER: Peabody MA 

PROVIDER: S-EPMC7214030 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature