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Meta analysis of microbiome studies identifies shared and disease-specific patterns
Claire Duvallet, Sean Gibbons, Thomas Gurry, Rafael Irizarry, Eric Alm
doi: https://doi.org/10.1101/134031
Claire Duvallet
1Department of Biological Engineering, MIT
2Center for Microbiome Informatics and Therapeutics
Sean Gibbons
1Department of Biological Engineering, MIT
2Center for Microbiome Informatics and Therapeutics
3The Broad Institute of MIT and Harvard
Thomas Gurry
1Department of Biological Engineering, MIT
2Center for Microbiome Informatics and Therapeutics
3The Broad Institute of MIT and Harvard
Rafael Irizarry
4Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute
5Department of Biostatistics, Harvard T.H. Chan School of Public Health
Eric Alm
1Department of Biological Engineering, MIT
2Center for Microbiome Informatics and Therapeutics
3The Broad Institute of MIT and Harvard
Article usage
Posted May 08, 2017.
Meta analysis of microbiome studies identifies shared and disease-specific patterns
Claire Duvallet, Sean Gibbons, Thomas Gurry, Rafael Irizarry, Eric Alm
bioRxiv 134031; doi: https://doi.org/10.1101/134031
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