Qiita: rapid, web-enabled microbiome meta-analysis.
Antonio GonzalezJose A Navas-MolinaTomasz KosciolekDaniel McDonaldYoshiki Vázquez-BaezaGail AckermannJeff DeReusStefan JanssenAustin D SwaffordStephanie B OrchanianJon G SandersJoshua ShorensteinHannes HolsteSemar PetrusAdam Robbins-PiankaColin J BrislawnMingxun WangJai Ram RideoutEvan BolyenMatthew DillonJ Gregory CaporasoPieter C DorresteinRob KnightPublished in: Nature methods (2018)
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.