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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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