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Qiita: rapid, web-enabled microbiome meta-analysis.
Gonzalez, Antonio; Navas-Molina, Jose A; Kosciolek, Tomasz; McDonald, Daniel; Vázquez-Baeza, Yoshiki; Ackermann, Gail; DeReus, Jeff; Janssen, Stefan; Swafford, Austin D; Orchanian, Stephanie B; Sanders, Jon G; Shorenstein, Joshua; Holste, Hannes; Petrus, Semar; Robbins-Pianka, Adam; Brislawn, Colin J; Wang, Mingxun; Rideout, Jai Ram; Bolyen, Evan; Dillon, Matthew; Caporaso, J Gregory; Dorrestein, Pieter C; Knight, Rob.
Afiliação
  • Gonzalez A; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Navas-Molina JA; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Kosciolek T; Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.
  • McDonald D; Google LLC, Mountain View, CA, USA.
  • Vázquez-Baeza Y; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Ackermann G; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • DeReus J; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Janssen S; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Swafford AD; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Orchanian SB; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Sanders JG; Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA.
  • Shorenstein J; Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA.
  • Holste H; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Petrus S; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Robbins-Pianka A; Inscripta, Inc., Boulder, CO, USA.
  • Brislawn CJ; Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
  • Wang M; Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.
  • Rideout JR; Department of Biology, University of California, San Diego, La Jolla, CA, USA.
  • Bolyen E; Department of Computer Science, University of Colorado, Boulder, Boulder, CO, USA.
  • Dillon M; Earth & Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
  • Caporaso JG; Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, USA.
  • Dorrestein PC; Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
  • Knight R; Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
Nat Methods ; 15(10): 796-798, 2018 10.
Article em En | MEDLINE | ID: mdl-30275573
ABSTRACT
Multi-omic insights into microbiome function and composition typically advance one study at a time. However, in order for relationships across studies to be fully understood, data must be aggregated into meta-analyses. This makes it possible to generate new hypotheses by finding features that are reproducible across biospecimens and data layers. Qiita dramatically accelerates such integration tasks in a web-based microbiome-comparison platform, which we demonstrate with Human Microbiome Project and Integrative Human Microbiome Project (iHMP) data.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Internet / Metagenômica / Microbiota Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Internet / Metagenômica / Microbiota Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Revista: Nat Methods Assunto da revista: TECNICAS E PROCEDIMENTOS DE LABORATORIO Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos