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FEAST: fast expectation-maximization for microbial source tracking.


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.

SUBMITTER: Shenhav L 

PROVIDER: S-EPMC8535041 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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FEAST: fast expectation-maximization for microbial source tracking.

Shenhav Liat L   Thompson Mike M   Joseph Tyler A TA   Briscoe Leah L   Furman Ori O   Bogumil David D   Mizrahi Itzhak I   Pe'er Itsik I   Halperin Eran E  

Nature methods 20190610 7


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 prov  ...[more]

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