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

The Effect of Nonlocal Vehicle Restriction Policy on Air Quality in Shanghai 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 Risk Factor Profile of Motorcycle Crash Victims in Rural Kenya 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.