GLay: community structure analysis of biological networks

Summary: 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, wh...

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Detalles Bibliográficos
Autores principales: Su, Gang, Kuchinsky, Allan, Morris, John H., States, David J., Meng, Fan
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2995124/
https://www.ncbi.nlm.nih.gov/pubmed/21123224
http://dx.doi.org/10.1093/bioinformatics/btq596
Descripción
Sumario:Summary: 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. Availability: http://brainarray.mbni.med.umich.edu/glay/ Contact: sugang@umich.edu

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