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Updated: Jun 29, 2026
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
SIGMA2: a system for the integrative genomic multi-dimensional analysis of cancer genomes, epigenomes, and
Raj Chari1, Bradley P Coe, Craig Wedseltoft
1Department of Cancer Genetics and Developmental Biology, BC Cancer Agency Research Centre, Vancouver, BC, Canada. rchari@bccrc.ca
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.
