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. 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.
Package details |
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Author | Authors@R: person("Liat", "Shenhav", email = "liashenhav@gmail.com", role = c("aut", "cre")) |
Maintainer | The package maintainer <liashenhav@gmail.com> |
License | This work is licensed under the Creative Commons Attribution-Non-Commercial-ShareAlike 4.0 International License. |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
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