Unlocking the potential of metagenomics through replicated experimental design

Knight, Rob, Jansson, Janet, Field, Dawn, Fierer, Noah, Desai, Narayan, Fuhrman, Jed A., Hugenholtz, Phil, van der Lelie, Daniel, Meyer, Folker, Stevens, Rick, Bailey, Mark J., Gordon, Jeffrey I., Kowalchuk, George A. and Gilbert, Jack A. (2012) Unlocking the potential of metagenomics through replicated experimental design. Nature Biotechnology, 30 6: 513-520. doi:10.1038/nbt.2235

Author Knight, Rob
Jansson, Janet
Field, Dawn
Fierer, Noah
Desai, Narayan
Fuhrman, Jed A.
Hugenholtz, Phil
van der Lelie, Daniel
Meyer, Folker
Stevens, Rick
Bailey, Mark J.
Gordon, Jeffrey I.
Kowalchuk, George A.
Gilbert, Jack A.
Title Unlocking the potential of metagenomics through replicated experimental design
Journal name Nature Biotechnology   Check publisher's open access policy
ISSN 1087-0156
Publication date 2012-06-01
Sub-type Article (original research)
DOI 10.1038/nbt.2235
Volume 30
Issue 6
Start page 513
End page 520
Total pages 8
Place of publication New York, United States
Publisher Nature Publishing Group
Language eng
Abstract Metagenomics holds enormous promise for discovering novel enzymes and organisms that are biomarkers or drivers of processes relevant to disease, industry and the environment. In the past two years, we have seen a paradigm shift in metagenomics to the application of cross-sectional and longitudinal studies enabled by advances in DNA sequencing and high-performance computing. These technologies now make it possible to broadly assess microbial diversity and function, allowing systematic investigation of the largely unexplored frontier of microbial life. To achieve this aim, the global scientific community must collaborate and agree upon common objectives and data standards to enable comparative research across the Earth's microbiome. Improvements in comparability of data will facilitate the study of biotechnologically relevant processes, such as bioprospecting for new glycoside hydrolases or identifying novel energy sources.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
School of Chemistry and Molecular Biosciences
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Citation counts: TR Web of Science Citation Count  Cited 114 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 108 times in Scopus Article | Citations
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Created: Fri, 29 Jun 2012, 18:28:32 EST by Lucy O'Brien on behalf of School of Chemistry & Molecular Biosciences