Format

Send to

Choose Destination
See comment in PubMed Commons below
Curr Opin Biotechnol. 2012 Jun;23(3):431-6. doi: 10.1016/j.copbio.2011.11.017. Epub 2011 Dec 7.

Characterizing microbial communities through space and time.

Author information

1
Department of Computer Science, University of Colorado at Boulder, Boulder, CO 80309, USA.

Abstract

Until recently, the study of microbial diversity has mainly been limited to descriptive approaches, rather than predictive model-based analyses. The development of advanced analytical tools and decreasing cost of high-throughput multi-omics technologies has made the later approach more feasible. However, consensus is lacking as to which spatial and temporal scales best facilitate understanding of the role of microbial diversity in determining both public and environmental health. Here, we review the potential for combining these new technologies with both traditional and nascent spatio-temporal analysis methods. The fusion of proper spatio-temporal sampling, combined with modern multi-omics and computational tools, will provide insight into the tracking, development and manipulation of microbial communities.

PMID:
22154467
PMCID:
PMC3311466
DOI:
10.1016/j.copbio.2011.11.017
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science Icon for PubMed Central
    Loading ...
    Support Center