MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities

Dongwan D. Kang, Jeff Froula, Rob Egan, Zhong Wang
2015 PeerJ  
Grouping large genomic fragments assembled from shotgun metagenomic sequences to deconvolute complex microbial communities, or metagenome binning, enables the study of individual organisms and their interactions. Because of the complex nature of these communities, existing metagenome binning methods often miss a large number of microbial species. In addition, most of the tools are not scalable to large datasets. Here we introduce automated software called MetaBAT that integrates empirical
more » ... ilistic distances of genome abundance and tetranucleotide frequency for accurate metagenome binning. MetaBAT outperforms alternative methods in accuracy and computational efficiency on both synthetic and real metagenome datasets. It automatically forms hundreds of high quality genome bins on a very large assembly consisting millions of contigs in a matter of hours on a single node. MetaBAT is open source software and available at berkeleylab/metabat.
doi:10.7717/peerj.1165 pmid:26336640 pmcid:PMC4556158 fatcat:odsbsphyvnhbxbjmjhesvjsgyi