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Qiita: rapid, web-enabled microbiome meta-analysis.

  • Author(s): 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
  • et al.
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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