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BiC: a web server for calculating bimodality of coexpression between gene and protein networks.
Linderman, George C; Patel, Vishal N; Chance, Mark R; Bebek, Gurkan.
Afiliación
  • Linderman GC; Department of Biomedical Engineering, Case Center for Proteomics and Bioinformatics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA.
Bioinformatics ; 27(8): 1174-5, 2011 Apr 15.
Article en En | MEDLINE | ID: mdl-21345871
ABSTRACT
UNLABELLED Bimodal patterns of expression have recently been shown to be useful not only in prioritizing genes that distinguish phenotypes, but also in prioritizing network models that correlate with proteomic evidence. In particular, subgroups of strongly coexpressed gene pairs result in an increased variance of the correlation distribution. This variance, a measure of association between sets of genes (or proteins), can be summarized as the bimodality of coexpression (BiC). We developed an online tool to calculate the BiC for user-defined gene lists and associated mRNA expression data. BiC is a comprehensive application that provides researchers with the ability to analyze both publicly available and user-collected array data.

AVAILABILITY:

The freely available web service and the documentation can be accessed at http//gurkan.case.edu/software. CONTACT gurkan@case.edu.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas / Perfilación de la Expresión Génica / Redes Reguladoras de Genes Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas / Perfilación de la Expresión Génica / Redes Reguladoras de Genes Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2011 Tipo del documento: Article País de afiliación: Estados Unidos
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