Qiita: rapid, web-enabled microbiome meta-analysis

被引：410

作者：

Gonzalez, Antonio ^{[1
]}

Navas-Molina, Jose A. ^{[1
,2
,10
]}

Kosciolek, Tomasz ^{[1
]}

McDonald, Daniel ^{[1
]}

Vazquez-Baeza, Yoshiki ^{[1
]}

Ackermann, Gail ^{[1
]}

DeReus, Jeff ^{[1
]}

Janssen, Stefan ^{[1
]}

Swafford, Austin D. ^{[3
]}

Orchanian, Stephanie B. ^{[3
]}

Sanders, Jon G. ^{[1
]}

Shorenstein, Joshua ^{[1
,11
]}

Holste, Hannes ^{[1
,2
]}

Petrus, Semar ^{[4
]}

Robbins-Pianka, Adam ^{[5
]}

Brislawn, Colin J. ^{[6
]}

Wang, Mingxun ^{[7
]}

Rideout, Jai Ram ^{[8
]}

Bolyen, Evan ^{[8
]}

Dillon, Matthew ^{[8
]}

Caporaso, J. Gregory ^{[8
,9
]}

Dorrestein, Pieter C. ^{[1
,3
,7
]}

Knight, Rob ^{[1
,2
,3
]}

机构：

[1] Univ Calif San Diego, Sch Med, Dept Pediat, La Jolla, CA 92093 USA

[2] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA

[3] Univ Calif San Diego, Ctr Microbiome Innovat, La Jolla, CA 92093 USA

[4] Univ Calif San Diego, Dept Biol, La Jolla, CA 92093 USA

[5] Univ Colorado, Dept Comp Sci, Boulder, CO 80309 USA

[6] Pacific Northwest Natl Lab, Earth & Biol Sci Directorate, Richland, WA 99352 USA

[7] Univ Calif San Diego, Skaggs Sch Pharm & Pharmaceut Sci, Collaborat Mass Spectrometry Innovat Ctr, La Jolla, CA 92093 USA

[8] No Arizona Univ, Pathogen & Microbiome Inst, Flagstaff, AZ 86011 USA

[9] No Arizona Univ, Dept Biol Sci, Box 5640, Flagstaff, AZ 86011 USA

[10] Google LLC, Mountain View, CA USA

[11] Inscripta Inc, Boulder, CO USA

来源：

NATURE METHODS | 2018年 / 15卷 / 10期

关键词：

DIVERSITY; QIIME;

D O I：

10.1038/s41592-018-0141-9

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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.

引用

页码：796 / +

页数：4

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