共 23 条
Modular analysis of the transcriptional regulatory network of E-coli
被引:75
作者:

Resendis-Antonio, O
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Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico

Freyre-González, JA
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Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico

Menchaca-Méndez, R
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Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico

Gutiérrez-Ríos, RM
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Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico

Martínez-Antonio, A
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Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico

Avila-Sánchez, C
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Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico

Collado-Vides, J
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Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico
机构:
[1] Univ Nacl Autonoma Mexico, Nitrogen Fixat Res Ctr, Program Computat Genom, Cuernavaca 62100, Morelos, Mexico
关键词:
D O I:
10.1016/j.tig.2004.11.010
中图分类号:
Q3 [遗传学];
学科分类号:
071007 ;
090102 ;
摘要:
The transcriptional network of Escherichia coli is currently the best-understood regulatory network of a single cell. Motivated by statistical evidence, suggesting a hierarchical modular architecture in this network, we identified eight modules with well-defined physiological functions. These modules were identified by a clustering approach, using the shortest path to trace regulatory relationships across genes in the network. We report the type (feed forward and bifan) and distribution of motifs between and within modules. Feed-forward motifs tend to be embedded within modules, whereas bi-fan motifs tend to link modules, supporting the notion of a hierarchical network with defined functional modules.
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页码:16 / 20
页数:5
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