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Nat Methods ; 15(10): 796-798, 2018 10.
Artigo em Inglês | MEDLINE | ID: mdl-30275573

RESUMO

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.


Assuntos
Biologia Computacional/métodos , Internet , Metagenômica , Microbiota , Software , Humanos , Interface Usuário-Computador
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