DESMAN : a new tool for de novo extraction of strains from metagenomes
DESMAN : a new tool for de novo extraction of strains from metagenomes
Date
2017-09-21
Authors
Quince, Christopher
Delmont, Tom O.
Raguideau, Sébastien
Alneberg, Johannes
Darling, Aaron
Collins, Gavin
Eren, A. Murat
Delmont, Tom O.
Raguideau, Sébastien
Alneberg, Johannes
Darling, Aaron
Collins, Gavin
Eren, A. Murat
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DOI
10.1186/s13059-017-1309-9
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Keywords
Metagenomes
Strain
Niche
Strain
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Abstract
We introduce DESMAN for De novo Extraction of Strains from Metagenomes. Large multi-sample metagenomes are being generated but strain variation results in fragmentary co-assemblies. Current algorithms can bin contigs into metagenome-assembled genomes but are unable to resolve strain-level variation. DESMAN identifies variants in core genes and uses co-occurrence across samples to link variants into haplotypes and abundance profiles. These are then searched for against non-core genes to determine the accessory genome of each strain. We validated DESMAN on a complex 50-species 210-genome 96-sample synthetic mock data set and then applied it to the Tara Oceans microbiome.
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© The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Genome Biology 18 (2017): 181, doi:10.1186/s13059-017-1309-9.
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Genome Biology 18 (2017): 181