Dataset Information
MAGScoT: a fast, lightweight and accurate bin-refinement tool.
Ontology highlight
ABSTRACT: Motivation
Recovery of metagenome-assembled genomes (MAGs) from shotgun metagenomic data is an important task for the comprehensive analysis of microbial communities from variable sources. Single binning tools differ in their ability to leverage specific aspects in MAG reconstruction, the use of ensemble binning refinement tools is often time consuming and computational demand increases with community complexity. We introduce MAGScoT, a fast, lightweight and accurate implementation for the reconstruction of highest-quality MAGs from the output of multiple genome-binning tools.Results
MAGScoT outperforms popular bin-refinement solutions in terms of quality and quantity of MAGs as well as computation time and resource consumption.Availability and implementation
MAGScoT is available via GitHub (https://github.com/ikmb/MAGScoT) and as an easy-to-use Docker container (https://hub.docker.com/repository/docker/ikmb/magscot).Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Ruhlemann MC
PROVIDER: S-EPMC9750101 | biostudies-literature | 2022 Dec
REPOSITORIES: biostudies-literature
Publications
MAGScoT: a fast, lightweight and accurate bin-refinement tool.
Bioinformatics (Oxford, England) 20221201 24
<h4>Motivation</h4>Recovery of metagenome-assembled genomes (MAGs) from shotgun metagenomic data is an important task for the comprehensive analysis of microbial communities from variable sources. Single binning tools differ in their ability to leverage specific aspects in MAG reconstruction, the use of ensemble binning refinement tools is often time consuming and computational demand increases with community complexity. We introduce MAGScoT, a fast, lightweight and accurate implementation for t ...[more]