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Computational meta'omics for microbial community studies

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Segata, Nicola, Boernigen, Daniela, Tickle, Timothy L, Morgan, Xochitl C, Garrett, Wendy S, Huttenhower, Curtis·2013·Molecular Systems Biology
DOI 10.1038/msb.2013.22
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Abstract

Complex microbial communities are an integral part of the Earth's ecosystem and of our bodies in health and disease. In the last two decades, culture‐independent approaches have provided new insights into their structure and function, with the exponentially decreasing cost of high‐throughput sequencing resulting in broadly available tools for microbial surveys. However, the field remains far from reaching a technological plateau, as both computational techniques and nucleotide sequencing platforms for microbial genomic and transcriptional content continue to improve. Current microbiome analyses are thus starting to adopt multiple and complementary meta'omic approaches, leading to unprecedented opportunities to comprehensively and accurately characterize microbial communities and their interactions with their environments and hosts. This diversity of available assays, analysis methods, and public data is in turn beginning to enable microbiome‐based predictive and modeling tools. We thus review here the technological and computational meta'omics approaches that are already available, those that are under active development, their success in biological discovery, and several outstanding challenges.

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Metadata

Authors
Segata, N., Boernigen, D., Tickle, T. L., Morgan, X. C., Garrett, W. S., & Huttenhower, C.
Venue
Molecular Systems Biology
Publisher
Springer Science and Business Media LLC
Published
2013-01
Volume
9
Issue
1
Pages
666-666
ISSN
1744-4292 (ISSN-L)
DOI
10.1038/msb.2013.22
OpenAlex
W2115057945
Cited by
326
References
28
FWCI
15.20
Type
journal article
Language
en
Open access
gold
Licence

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Segata, N., Boernigen, D., Tickle, T. L., Morgan, X. C., Garrett, W. S., & Huttenhower, C. (2013). Computational meta'omics for microbial community studies. Molecular Systems Biology. https://doi.org/10.1038/msb.2013.22

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