Login / Signup

FEAST: fast expectation-maximization for microbial source tracking.

Liat ShenhavMike ThompsonTyler A JosephLeah BriscoeOri FurmanDavid BogumilItzhak MizrahiItsik Pe'erEran Halperin
Published in: Nature methods (2019)
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.
Keyphrases
  • microbial community
  • human health
  • healthcare
  • health information
  • public health
  • risk assessment
  • mental health
  • drinking water
  • big data
  • machine learning
  • social media
  • deep learning