GLay: community structure analysis of biological networks

被引：199

作者：

Su, Gang ^{[1
,7
]}

Kuchinsky, Allan ^{[2
]}

Morris, John H. ^{[3
]}

States, David J. ^{[4
]}

Meng, Fan ^{[5
,6
,7
]}

机构：

[1] Univ Michigan, Bioinformat Program, Ann Arbor, MI 48109 USA

[2] Agilent Technol, Santa Clara, CA USA

[3] Univ Calif San Francisco, Dept Pharmaceut Chem, San Francisco, CA 94143 USA

[4] Univ Texas Hlth Sci Ctr, Brown Fdn Inst Mol Med, Sch Hlth Informat Sci, Houston, TX USA

[5] Univ Michigan, Dept Psychiat, Ann Arbor, MI 48109 USA

[6] Univ Michigan, Mol Behav Neurosci Inst, Ann Arbor, MI 48109 USA

[7] Univ Michigan, Natl Ctr Integrat Biomed Informat, Ann Arbor, MI 48109 USA

来源：

BIOINFORMATICS | 2010年 / 26卷 / 24期

基金：

美国国家卫生研究院;

关键词：

MODULARITY;

D O I：

10.1093/bioinformatics/btq596

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

GLay provides Cytoscape users an assorted collection of versatile community structure algorithms and graph layout functions for network clustering and structured visualization. High performance is achieved by dynamically linking highly optimized C functions to the Cytoscape JAVA program, which makes GLay especially suitable for decomposition, display and exploratory analysis of large biological networks.

引用

页码：3135 / 3137

页数：3

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