Computational meta'omics for microbial community studies
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Computational meta'omics for microbial community studies. / Segata, Nicola; Boernigen, Daniela; Tickle, Timothy L; Morgan, Xochitl C; Garrett, Wendy S; Huttenhower, Curtis.
in: MOL SYST BIOL, Jahrgang 9, 14.05.2013, S. 666.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Review › Forschung
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TY - JOUR
T1 - Computational meta'omics for microbial community studies
AU - Segata, Nicola
AU - Boernigen, Daniela
AU - Tickle, Timothy L
AU - Morgan, Xochitl C
AU - Garrett, Wendy S
AU - Huttenhower, Curtis
PY - 2013/5/14
Y1 - 2013/5/14
N2 - 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.
AB - 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.
KW - Algorithms
KW - Bacteria
KW - Computer Simulation
KW - Gene Expression Profiling
KW - Gene Expression Regulation, Bacterial
KW - Humans
KW - Metagenome
KW - Metagenomics
KW - Microbial Consortia
KW - Models, Genetic
KW - Phylogeny
KW - Software
KW - Journal Article
KW - Research Support, N.I.H., Extramural
KW - Research Support, Non-U.S. Gov't
KW - Research Support, U.S. Gov't, Non-P.H.S.
KW - Review
U2 - 10.1038/msb.2013.22
DO - 10.1038/msb.2013.22
M3 - SCORING: Review article
C2 - 23670539
VL - 9
SP - 666
ER -