TITLE:

BAYESIAN COMMUNITY-WIDE CULTURE-INDEPENDENT MICROBIAL SOURCE TRACKING

DATE:

Friday, Sep 30th, 2011

TIME:

3:30 PM

LOCATION:

GMCS 214

SPEAKER:

Scott Kelley
Department of Biology.
San Diego State University.

ABSTRACT:

Contamination is a critical issue in high-throughput metagenomic studies, yet progress toward a comprehensive solution has been limited. We present SourceTracker, a Bayesian approach to estimate the proportion of contaminants in a given community that come from possible source environments. We applied SourceTracker to microbial surveys from neonatal intensive care units (NICUs), offices and molecular biology laboratories, and provide a database of known contaminants for future testing. We also show that the method is easily extendable to Metagenomic datasets and has potentially wide applicability to natural systems.

HOST:

Dr. Jose Castillo.

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