Cancer genomics data that is produced creates multi-dimensional data sets. Gitools lets you browse all that data at once.

A typical cancer genomics project nowadays screens the cancer genome, epigenome and transcriptome of a cohort of patients and identifies various types of alterations: Copy Number changes, Somatic Mutations, Gene Expression changes and others. This is the case of projects framed within The Cancer Genome Atlas or the International Cancer Genomics Consortium, as well as many others. Each of these types of alterations is represented in different data formats and it remains a challenge to integrate them to get a unified view of the process of alterations that leads to tumorigenesis. In Gitools it is possible to explore and analyze multi-value matrices in the form of interactive heatmaps, making it possible to work with various data dimensions at once.  Read the rest of this entry »