FEAST: fast expectation-maximization for microbial source tracking

Liat Shenhav, Mike Thompson, Tyler A. Joseph, Leah Briscoe, Ori Furman, David Bogumil, Itzhak Mizrahi, Itsik Pe’er, Eran Halperin

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Pages (from-to)627-632
Number of pages6
JournalNature Methods
Issue number7
StatePublished - 1 Jul 2019

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology


Dive into the research topics of 'FEAST: fast expectation-maximization for microbial source tracking'. Together they form a unique fingerprint.

Cite this