Qiita: rapid, web-enabled microbiome meta-analysis

Antonio Gonzalez; Jose A. Navas-Molina; Tomasz Kosciolek; Daniel McDonald; Yoshiki Vázquez-Baeza; Gail Ackermann; Jeff DeReus; Stefan Janssen; Austin D. Swafford; Stephanie B. Orchanian; Jon G. Sanders; Joshua Shorenstein; Hannes Holste; Semar Petrus; Adam Robbins-Pianka; Colin J. Brislawn; Mingxun Wang; Jai Ram Rideout; Evan Bolyen; Matthew Dillon; J. Gregory Caporaso; Pieter C. Dorrestein; Rob Knight

doi:10.1038/s41592-018-0141-9

Qiita: rapid, web-enabled microbiome meta-analysis

Antonio Gonzalez
, Jose A. Navas-Molina
, Tomasz Kosciolek
, Daniel McDonald
, Yoshiki Vázquez-Baeza
, Gail Ackermann
, Jeff DeReus
, Stefan Janssen
, Austin D. Swafford
, Stephanie B. Orchanian
, Jon G. Sanders
, Joshua Shorenstein
, Hannes Holste
, Semar Petrus
, Adam Robbins-Pianka
, Colin J. Brislawn
, Mingxun Wang
, Jai Ram Rideout
, Evan Bolyen
, Matthew Dillon

J. Gregory Caporaso, Pieter C. Dorrestein, Rob Knight

Informatics, Computing, and Cyber Systems, School of

Research output: Contribution to journal › Article › peer-review

456 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	796-798
Number of pages	3
Journal	Nature Methods
Volume	15
Issue number	10
DOIs	https://doi.org/10.1038/s41592-018-0141-9
State	Published - Oct 1 2018

ASJC Scopus subject areas

Biotechnology
Biochemistry
Molecular Biology
Cell Biology

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10.1038/s41592-018-0141-9

Cite this

Gonzalez, A., Navas-Molina, J. A., Kosciolek, T., McDonald, D., Vázquez-Baeza, Y., Ackermann, G., DeReus, J., Janssen, S., Swafford, A. D., Orchanian, S. B., Sanders, J. G., Shorenstein, J., Holste, H., Petrus, S., Robbins-Pianka, A., Brislawn, C. J., Wang, M., Rideout, J. R., Bolyen, E., ... Knight, R. (2018). Qiita: rapid, web-enabled microbiome meta-analysis. Nature Methods, 15(10), 796-798. https://doi.org/10.1038/s41592-018-0141-9

Gonzalez, A, Navas-Molina, JA, Kosciolek, T, McDonald, D, Vázquez-Baeza, Y, Ackermann, G, DeReus, J, Janssen, S, Swafford, AD, Orchanian, SB, Sanders, JG, Shorenstein, J, Holste, H, Petrus, S, Robbins-Pianka, A, Brislawn, CJ, Wang, M, Rideout, JR, Bolyen, E, Dillon, M, Caporaso, JG, Dorrestein, PC & Knight, R 2018, 'Qiita: rapid, web-enabled microbiome meta-analysis', Nature Methods, vol. 15, no. 10, pp. 796-798. https://doi.org/10.1038/s41592-018-0141-9

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title = "Qiita: rapid, web-enabled microbiome meta-analysis",

abstract = "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.",

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AU - Gonzalez, Antonio

AU - Navas-Molina, Jose A.

AU - Kosciolek, Tomasz

AU - McDonald, Daniel

AU - Vázquez-Baeza, Yoshiki

AU - Ackermann, Gail

AU - DeReus, Jeff

AU - Janssen, Stefan

AU - Swafford, Austin D.

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AU - Sanders, Jon G.

AU - Shorenstein, Joshua

AU - Holste, Hannes

AU - Petrus, Semar

AU - Robbins-Pianka, Adam

AU - Brislawn, Colin J.

AU - Wang, Mingxun

AU - Rideout, Jai Ram

AU - Bolyen, Evan

AU - Dillon, Matthew

AU - Caporaso, J. Gregory

AU - Dorrestein, Pieter C.

AU - Knight, Rob

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Qiita: rapid, web-enabled microbiome meta-analysis

Abstract

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