New surveyor tools for charting microbial metabolic maps

被引：69

作者：

Breitling, Rainer ^{[1
]}

Vitkup, Dennis ^{[2
]}

Barrett, Michael P. ^{[3
]}

机构：

[1] Univ Groningen, Groningen Biomol Sci & Biotechnol Inst, Groningen Bioinformat Ctr, NL-9751 NN Haren, Netherlands

[2] Columbia Univ, Dept Biomed Informat, Ctr Computat Biol & Bioinformat, New York, NY 10032 USA

[3] Univ Glasgow, Inst Biomed & Life Sci, Div Infect & Immun, Glasgow G12 8QQ, Lanark, Scotland

来源：

NATURE REVIEWS MICROBIOLOGY | 2008年 / 6卷 / 02期

关键词：

D O I：

10.1038/nrmicro1797

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

The computational reconstruction and analysis of cellular models of microbial metabolism is one of the great success stories of systems biology. The extent and quality of metabolic network reconstructions is, however, limited by the current state of biochemical knowledge. Can experimental high-throughput data be used to improve and expand network reconstructions to include unexplored areas of metabolism? Recent advances in experimental technology and analytical methods bring this aim an important step closer to realization. Data integration will play a particularly important part in exploiting the new experimental opportunities.

引用

页码：156 / 161

页数：6

共 67 条

[1]

Aharoni Asaph, 2002, OMICS A Journal of Integrative Biology, V6, P217, DOI 10.1089/15362310260256882

[2] A test case of correlation metric construction of a reaction pathway from measurements [J].