Format

Send to

Choose Destination
See comment in PubMed Commons below
Trends Plant Sci. 2008 Jan;13(1):36-43. Epub 2007 Dec 21.

Decoding genes with coexpression networks and metabolomics - 'majority report by precogs'.

Author information

1
RIKEN Plant Science Center, Tsurumi-ku, Yokohama 230-0045, Japan. ksaito@faculty.chiba-u.jp

Abstract

Following the sequencing of whole genomes of model plants, high-throughput decoding of gene function is a major challenge in modern plant biology. In view of remarkable technical advances in transcriptomics and metabolomics, integrated analysis of these 'omics' by data-mining informatics is an excellent tool for prediction and identification of gene function, particularly for genes involved in complicated metabolic pathways. The availability of Arabidopsis public transcriptome datasets containing data of >1000 microarrays reinforces the potential for prediction of gene function by transcriptome coexpression analysis. Here, we review the strategy of combining transcriptome and metabolome as a powerful technology for studying the functional genomics of model plants and also crop and medicinal plants.

PMID:
18160330
DOI:
10.1016/j.tplants.2007.10.006
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science
    Loading ...
    Support Center