Gene regulatory networks in plants: learning causality from time and perturbation

被引：54

作者：

Krouk, Gabriel ^{[3
]}

Lingeman, Jesse ^{[1
]}

Colon, Amy Marshall ^{[2
]}

Coruzzi, Gloria ^{[2
]}

Shasha, Dennis ^{[1
]}

机构：

[1] NYU, Courant Inst Math Sci, New York, NY 10003 USA

[2] NYU, Dept Biol, Ctr Genom & Syst Biol, New York, NY 10003 USA

[3] Inst Claude Grignon, UMR CNRS INRA SupAgro UM2 5004, F-34060 Montpellier, France

来源：

GENOME BIOLOGY | 2013年 / 14卷 / 06期

基金：

美国国家科学基金会;

关键词：

Gene regulatory networks; network interference; plant; systems biology; CIRCADIAN CLOCK; TRANSCRIPTIONAL REGULATION; SEED-GERMINATION; ARABIDOPSIS; MODEL; PROTEIN; ROBUST; IDENTIFICATION; CIRCUIT; AUXIN;

D O I：

10.1186/gb-2013-14-6-123

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

The goal of systems biology is to generate models for predicting how a system will react under untested conditions or in response to genetic perturbations. This paper discusses experimental and analytical approaches to deriving causal relationships in gene regulatory networks.

引用

页数：7

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