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PeerJ, PeerJ, (2), p. e603, 2014

DOI: 10.7717/peerj.603

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GroopM: an automated tool for the recovery of population genomes from related metagenomes

Journal article published in 2014 by Michael Imelfort, Donovan Parks, Ben J. Woodcroft, Paul Dennis, Philip Hugenholtz ORCID, Gene W. Tyson
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Metagenomic binning methods that leverage differential population abundances in microbial communities (differential coverage) are emerging as a complementary approach to conventional composition-based binning. Here we introduce GroopM, an automated binning tool that primarily uses differential coverage to obtain high fidelity population genomes from related metagenomes. We demonstrate the effectiveness of GroopM using synthetic and real-world metagenomes, and show that GroopM produces results comparable with more time consuming, labor-intensive methods.