CBCB researchers Publish Software for Microbiome Association Statistics

CBCB researchers Héctor Corrada Bravo,  Joseph Paulson, and Mihai Pop together with their colleague O. Colin Stine from the University of Maryland School of Medicine publish a new statistical package for performing differential analysis in metagenomic data. The new package, metagenomeSeq, implemented as part of the Bioconductor package, appeared today in as advanced online publication in the journal Nature Methods. This package addresses several challenges specific to metagenomic data, including the high level of sparsity due to insufficient sequence coverage, and provides accurate and robust estimates of the differential abundance of organisms across microbiome samples.

The article additional information is available at http://www.nature.com/nmeth/journal/vaop/ncurrent/abs/nmeth.2658.html, and the software package can be downloaded from http://www.bioconductor.org/packages/2.13/bioc/html/metagenomeSeq.html