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. Department of Applied Mathematics, and Interdisciplinary Quantitative Biology Graduate Program, University of Colorado Boulder, Boulder, Colorado, USA
4. Center for Microbiome Innovation, University of California San Diego, San Diego, California, USA
Abstract
Deblur provides a rapid and sensitive means to assess ecological patterns driven by differentiation of closely related taxa. This algorithm provides a solution to the problem of identifying real ecological differences between taxa whose amplicons differ by a single base pair, is applicable in an automated fashion to large-scale sequencing data sets, and can integrate sequencing runs collected over time.
Funder
Broad Institute, Inc.
Laureate Institute for Brain Research
Valhalla Foundation
HHS | National Institutes of Health
National Science Foundation
Crohn's and Colitis Foundation of America
Alfred P. Sloan Foundation
National Multiple Sclerosis Society
United States - Israel Binational Science Foundation
U.S. Department of Justice
DOD | United States Navy | Office of Naval Research
UC | University of California, San Diego
DOD | United States Army | MEDCOM | Congressionally Directed Medical Research Programs
Washington University in St. Louis
UC | University of California, San Francisco
Kenneth Rainin Foundation
Publisher
American Society for Microbiology
Subject
Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology