Abstract
A major challenge of analyzing the compositional structure of microbiome data is identifying its potential origins. Here, we introduce fast expectation-maximization microbial source tracking (FEAST), a ready-to-use scalable framework that can simultaneously estimate the contribution of thousands of potential source environments in a timely manner, thereby helping unravel the origins of complex microbial communities (https://github.com/cozygene/FEAST). The information gained from FEAST may provide insight into quantifying contamination, tracking the formation of developing microbial communities, as well as distinguishing and characterizing bacteria-related health conditions.
| Original language | English |
|---|---|
| Pages (from-to) | 627-632 |
| Number of pages | 6 |
| Journal | Nature Methods |
| Volume | 16 |
| Issue number | 7 |
| DOIs | |
| State | Published - 1 Jul 2019 |
All Science Journal Classification (ASJC) codes
- Biotechnology
- Biochemistry
- Molecular Biology
- Cell Biology
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