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SIGMA2: a system for the integrative genomic multi-dimensional analysis of cancer genomes, epigenomes, and transcriptomes.
Chari, Raj; Coe, Bradley P; Wedseltoft, Craig; Benetti, Marie; Wilson, Ian M; Vucic, Emily A; MacAulay, Calum; Ng, Raymond T; Lam, Wan L.
Afiliación
  • Chari R; Department of Cancer Genetics and Developmental Biology, BC Cancer Agency Research Centre, Vancouver, BC, Canada. rchari@bccrc.ca
BMC Bioinformatics ; 9: 422, 2008 Oct 07.
Article en En | MEDLINE | ID: mdl-18840289
BACKGROUND: High throughput microarray technologies have afforded the investigation of genomes, epigenomes, and transcriptomes at unprecedented resolution. However, software packages to handle, analyze, and visualize data from these multiple 'omics disciplines have not been adequately developed. RESULTS: Here, we present SIGMA2, a system for the integrative genomic multi-dimensional analysis of cancer genomes, epigenomes, and transcriptomes. Multi-dimensional datasets can be simultaneously visualized and analyzed with respect to each dimension, allowing combinatorial integration of the different assays belonging to the different 'omics. CONCLUSION: The identification of genes altered at multiple levels such as copy number, loss of heterozygosity (LOH), DNA methylation and the detection of consequential changes in gene expression can be concertedly performed, establishing SIGMA2 as a novel tool to facilitate the high throughput systems biology analysis of cancer.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Factores de Transcripción / Interfaz Usuario-Computador / Programas Informáticos / ADN de Neoplasias / Perfilación de la Expresión Génica / Epigénesis Genética / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2008 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Factores de Transcripción / Interfaz Usuario-Computador / Programas Informáticos / ADN de Neoplasias / Perfilación de la Expresión Génica / Epigénesis Genética / Neoplasias Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: BMC Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2008 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Reino Unido