This is a collection of interactive Next-Generation Clustered Heat Maps (NG-CHMs).
NG-CHMs enable you to zoom and navigate on the image, recolor on the fly, link out from labels or pixels to external sources of information, produce high-resolution publication-quality graphics, and capture all metadata needed to reproduce the map. They provide an exploratory environment invaluable for identifying cancer sub-types or checking out your favorite gene or pathway: perhaps a gene or pathway that provides a target for cancer therapy. First time users, please see the Quick User Guide (button at left). For more detailed information, see the NG-CHM project page.
Additional features and performance enhancements will be added on a continuing basis, so come back for more over time.
- TCGA Genome Data Analysis Center, MD Anderson Department of Bioinformatics and Computational Biology, with CSRA and In Silico Solutions. Funding support was provided by the ITCR: grant number U24CA199461 from NCI/NIH, the TCGA: grant number U24CA143883 from NCI/NIH, The Michael & Susan Dell Foundation: The Lorraine Dell Program in Bioinformatics for Personalization of Cancer Medicine, The H.A. Mary K. Chapman Foundation, and an Anonymous donor for Computational Biology in Cancer Medicine.