FunNet: an integrative tool for exploring transcriptional interactions

被引：61

作者：

Prifti, Edi ^{[1
,2
,3
]}

Zucker, Jean-Daniel ^{[1
,3
]}

Clement, Karine ^{[1
,2
,4
]}

Henegar, Corneliu ^{[1
]}

机构：

[1] INSERM, UMR S 872, F-75006 Paris, France

[2] Univ Paris 06, Cordeliers Res Ctr, UMR S 872, F-75006 Paris, France

[3] Ctr IRD lle de France, IRD, UR Geodes, F-93143 Bondy, France

[4] Hop La Pitie Salpetriere, AP HP, Nutr & Endocrinol Dept, F-75013 Paris, France

来源：

BIOINFORMATICS | 2008年 / 24卷 / 22期

关键词：

D O I：

10.1093/bioinformatics/btn492

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We describe here an exploratory tool, called FunNet, which implements an original systems biology approach, aiming to improve the biological relevance of the modular interaction patterns identified in transcriptional co-expression networks. A suitable analytical model, involving two abstraction layers, has been devised to relate expression profiles to the knowledge on transcripts' biological roles, extracted from genomic databases, into a comprehensive exploratory framework. This approach has been implemented into a user-friendly web tool to promote its open use by the community.

引用

页码：2636 / 2638

页数：3

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