DESMAN: a new tool for de novo extraction of strains from metagenomes

DESMAN: a new tool for de novo extraction of strains from metagenomes

Blog Article

Abstract We introduce DESMAN for De novo Extraction Golf Net 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 Chef 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.