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FEAST: fast expectation-maximization for microbial source tracking.
Shenhav, Liat; Thompson, Mike; Joseph, Tyler A; Briscoe, Leah; Furman, Ori; Bogumil, David; Mizrahi, Itzhak; Pe'er, Itsik; Halperin, Eran.
Afiliação
  • Shenhav L; Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA.
  • Thompson M; Department of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA.
  • Joseph TA; Department of Computer Science, Columbia University, New York, NY, USA.
  • Briscoe L; Department of Human Genetics, University of California Los Angeles, Los Angeles, CA, USA.
  • Furman O; Life Sciences, Ben Gurion University, Be'er Sheva, Israel.
  • Bogumil D; Life Sciences, Ben Gurion University, Be'er Sheva, Israel.
  • Mizrahi I; Life Sciences, Ben Gurion University, Be'er Sheva, Israel.
  • Pe'er I; Department of Computer Science, Columbia University, New York, NY, USA.
  • Halperin E; Department of Computer Science, University of California Los Angeles, Los Angeles, CA, USA. ehalperin@cs.ucla.edu.
Nat Methods ; 16(7): 627-632, 2019 07.
Article em En | MEDLINE | ID: mdl-31182859
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Microbiota Limite: Adult / Humans / Infant Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Microbiota Limite: Adult / Humans / Infant Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos