A galaxy implementation of next-generation clustered heatmaps for interactive exploration of molecular profiling data

Bradley M. Broom, Michael C. Ryan, Robert E. Brown, Futa Ikeda, Mark Stucky, David W. Kane, James Melott, Chris Wakefield, Tod D. Casasent, Rehan Akbani, John N. Weinstein

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Clustered heatmaps are the most frequently used graphics for visualization of molecular profiling data in biology. However, they are generally rendered as static, or only modestly interactive, images. We have now used recent advances in web technologies to produce interactive "next-generation" clustered heatmaps (NG-CHM) that enable extreme zooming and navigation without loss of resolution. NG-CHMs also provide link-outs to additional information sources and include other features that facilitate deep exploration of the biology behind the image. Here, we describe an implementation of the NG-CHM system in the Galaxy bioinformatics platform.Weillustrate the algorithm and available computational tool using RNA-seq data from The Cancer Genome Atlas program's Kidney Clear Cell Carcinoma project. Cancer Res; 77(21); e23-26.

Original languageEnglish (US)
Pages (from-to)e23-e26
JournalCancer Research
Volume77
Issue number21
DOIs
StatePublished - Nov 1 2017

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

MD Anderson CCSG core facilities

  • Bioinformatics Shared Resource

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