Qiita: rapid, web-enabled microbiome meta-analysis

Multi-omic insights into microbiome function and composition typically advance one study at a time. However, to understand relationships across studies, they must be aggregated into meta-analyses. This makes it possible to generate new hypotheses by finding features that are reproducible across bios...

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Publicado no:Nat Methods
Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6235622/
https://ncbi.nlm.nih.gov/pubmed/30275573
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-018-0141-9
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