Systematic prediction of gene function in Arabidopsis thaliana using a probabilistic functional gene network

被引：37

作者：

Hwang, Sohyun ^{[2
]}

Rhee, Seung Y. ^{[1
]}

Marcotte, Edward M. ^{[3
,4
]}

Lee, Insuk ^{[2
]}

机构：

[1] Carnegie Inst Sci, Dept Plant Biol, Stanford, CA USA

[2] Yonsei Univ, Coll Life Sci & Biotechnol, Dept Biotechnol, Seoul 120749, South Korea

[3] Univ Texas Austin, Inst Cellular & Mol Biol, Ctr Syst & Synthet Biol, Austin, TX 78712 USA

[4] Univ Texas Austin, Dept Chem & Biochem, Inst Cellular & Mol Biol, Austin, TX 78712 USA

来源：

NATURE PROTOCOLS | 2011年 / 6卷 / 09期

基金：

美国国家科学基金会; 新加坡国家研究基金会;

关键词：

GENOME-WIDE PREDICTION; PROTEIN COMPLEXES; DATABASE; BIOLOGY; INTERACTOME; IDENTIFICATION; ASSOCIATION; INTEGRATION; CYTOSCAPE; ALGORITHM;

D O I：

10.1038/nprot.2011.372

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

AraNet is a functional gene network for the reference plant Arabidopsis and has been constructed in order to identify new genes associated with plant traits. It is highly predictive for diverse biological pathways and can be used to prioritize genes for functional screens. Moreover, AraNet provides a web-based tool with which plant biologists can efficiently discover novel functions of Arabidopsis genes ( http://www.functionalnet.org/aranet/). This protocol explains how to conduct network-based prediction of gene functions using AraNet and how to interpret the prediction results. Functional discovery in plant biology is facilitated by combining candidate prioritization by AraNet with focused experimental tests.

引用

页码：1429 / 1442

页数：14

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