VisANT: an integrative framework for networks in systems biology

被引：82

作者：

Hu, Zhenjun

Snitkin, Evan S.

DeLisi, Charles ^{[1
]}

机构：

[1] Boston Univ, All Univ PhD Program Bioinformat, Boston, MA 02215 USA

来源：

BRIEFINGS IN BIOINFORMATICS | 2008年 / 9卷 / 04期

关键词：

network; integration; systems biology; metagraph; visualization;

D O I：

10.1093/bib/bbn020

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

The essence of a living cell is adaptation to a changing environment, and a central goal of modern cell biology is to understand adaptive change under normal and pathological conditions. Because the number of components is large, and processes and conditions are many, visual tools are useful in providing an overview of relations that would otherwise be far more difficult to assimilate. Historically, representations were static pictures, with genes and proteins represented as nodes, and known or inferred correlations between them (links) represented by various kinds of lines. The modern challenge is to capture functional hierarchies and adaptation to environmental change, and to discover pathways and processes embedded in known data, but not currently recognizable. Among the tools being developed to meet this challenge is VisANT (freely available at http://visant.bu.edu) which integrates, mines and displays hierarchical information. Challenges to integrating modeling (discrete or continuous) and simulation capabilities into such visual mining software are briefly discussed.

引用

页码：317 / 325

页数：9

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