Bayesian community-wide culture-independent microbial source tracking
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Updated: May 31, 2026

Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data
Published on: May 15, 2019
Dan Knights1, Justin Kuczynski, Emily S Charlson
1Department of Computer Science, University of Colorado, Boulder, Colorado, USA.
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.
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