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SIMMER employs similarity algorithms to accurately identify human gut microbiome species and enzymes capable of known chemical transformations.
Bustion, Annamarie E; Nayak, Renuka R; Agrawal, Ayushi; Turnbaugh, Peter J; Pollard, Katherine S.
Afiliação
  • Bustion AE; Pharmaceutical Sciences and Pharmacogenomics Graduate Program, University of California, San Francisco, San Francisco, United States.
  • Nayak RR; Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, United States.
  • Agrawal A; Rheumatology Division, Department of Medicine, University of California, San Francisco, San Francisco, United States.
  • Turnbaugh PJ; Institute of Data Science and Biotechnology, Gladstone Institutes, San Francisco, United States.
  • Pollard KS; Department of Microbiology & Immunology, University of California, San Francisco, San Francisco, United States.
Elife ; 122023 Jun 12.
Article em En | MEDLINE | ID: mdl-37306300
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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Microbiota / Microbioma Gastrointestinal Limite: Humans Idioma: En Revista: Elife Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 3_ND Base de dados: MEDLINE Assunto principal: Microbiota / Microbioma Gastrointestinal Limite: Humans Idioma: En Revista: Elife Ano de publicação: 2023 Tipo de documento: Article