Balance Trees Reveal Microbial Niche Differentiation

Author:

Morton James T.12,Sanders Jon1,Quinn Robert A.3,McDonald Daniel2,Gonzalez Antonio2,Vázquez-Baeza Yoshiki12,Navas-Molina Jose A.12,Song Se Jin1ORCID,Metcalf Jessica L.3,Hyde Embriette R.2,Lladser Manuel4,Dorrestein Pieter C.5,Knight Rob12

Affiliation:

1. Department of Pediatrics, University of California San Diego, La Jolla, California, USA

2. Department of Computer Science and Engineering, University of California San Diego, La Jolla, California, USA

3. Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy, University of California San Diego, La Jolla, California, USA, and Department of Animal Sciences, Colorado State University, Fort Collins, Colorado, USA

4. Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, USA

5. Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA

Abstract

By explicitly accounting for the compositional nature of 16S rRNA gene data through the concept of balances, balance trees yield novel biological insights into niche differentiation. The software to perform this analysis is available under an open-source license and can be obtained at https://github.com/biocore/gneiss .

Funder

National Science Foundation

HHS | NIH | National Institute of Diabetes and Digestive and Kidney Diseases

Alfred P. Sloan Foundation

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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