1.
Nat Biotechnol
; 37(9): 1091, 2019 Sep.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31399723
RESUMO
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
2.
Nat Biotechnol
; 37(8): 852-857, 2019 08.
Artigo
em Inglês
| MEDLINE
| ID: mdl-31341288
Assuntos
Biologia Computacional , Ciência de Dados , Microbiota , Software , Bases de Dados Factuais , Humanos
3.
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.