Article (Scientific journals)
Condensing the omics fog of microbial communities
Muller, Emilie; Glaab, Enrico; May, Patrick et al.
2013In Trends in Microbiology, 21 (7), p. 325–333
Peer reviewed
 

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Keywords :
Eco-Systems Biology; Function prediction; Integrated omics; Machine learning; Microbial communities; Systematic measurements
Abstract :
[en] Natural microbial communities are ubiquitous, complex, heterogeneous and dynamic. Here, we argue that the future standard for their study will require systematic omic measurements of spatially and temporally resolved unique samples in line with a discovery-driven planning approach. Resulting datasets will allow the generation of solid hypotheses about causal relationships and, thereby, will facilitate the discovery of previously unknown traits of specific microbial community members. However, to achieve this, solid wet-lab, bioinformatic and statistical methodologies are required to have the promises of the emerging field of Eco-Systems Biology come to fruition.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
- Luxembourg Centre for Systems Biomedicine (LCSB): Eco-Systems Biology (Wilmes Group)
- Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group)
Luxembourg Centre for Systems Biomedicine (LCSB): Machine Learning (Vlassis Group)
Disciplines :
Microbiology
Author, co-author :
Muller, Emilie ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Glaab, Enrico  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
May, Patrick  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Vlassis, Nikos ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
Wilmes, Paul ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
no
Language :
English
Title :
Condensing the omics fog of microbial communities
Publication date :
2013
Journal title :
Trends in Microbiology
ISSN :
0966-842X
Publisher :
Elsevier Trends Journals, Cambridge, United Kingdom
Volume :
21
Issue :
7
Pages :
325–333
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 30 June 2013

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