@article {Kang011460, author = {Dongwan D. Kang and Jeff Froula and Rob Egan and Zhong Wang}, title = {A robust statistical framework for reconstructing genomes from metagenomic data}, elocation-id = {011460}, year = {2014}, doi = {10.1101/011460}, publisher = {Cold Spring Harbor Laboratory}, abstract = {We present software that reconstructs genomes from shotgun metagenomic sequences using a reference-independent approach. This method permits the identification of OTUs in large complex communities where many species are unknown. Binning reduces the complexity of a metagenomic dataset enabling many downstream analyses previously unavailable. In this study we developed MetaBAT, a robust statistical framework that integrates probabilistic distances of genome abundance with sequence composition for automatic binning. Applying MetaBAT to a human gut microbiome dataset identified 173 highly specific genomes bins including many representing previously unidentified species.}, URL = {https://www.biorxiv.org/content/early/2014/11/15/011460}, eprint = {https://www.biorxiv.org/content/early/2014/11/15/011460.full.pdf}, journal = {bioRxiv} }