@article{2646637ea1bb444f9d4e74ddde9c56c4,
title = "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.",
author = "Liat Shenhav and Mike Thompson and Joseph, {Tyler A.} and Leah Briscoe and Ori Furman and David Bogumil and Itzhak Mizrahi and Itsik Pe{\textquoteright}er and Eran Halperin",
note = "Publisher Copyright: {\textcopyright} 2019, The Author(s), under exclusive licence to Springer Nature America, Inc.",
year = "2019",
month = jul,
day = "1",
doi = "10.1038/s41592-019-0431-x",
language = "אנגלית",
volume = "16",
pages = "627--632",
journal = "Nature Methods",
issn = "1548-7091",
publisher = "Springer Nature",
number = "7",
}