Literature DB >> 29092932

A Galaxy Implementation of Next-Generation Clustered Heatmaps for Interactive Exploration of Molecular Profiling Data.

Bradley M Broom1, Michael C Ryan2, Robert E Brown2, Futa Ikeda2, Mark Stucky2, David W Kane3, James Melott4, Chris Wakefield4, Tod D Casasent4, Rehan Akbani4, John N Weinstein1,5.   

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. We illustrate 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. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 29092932      PMCID: PMC5715806          DOI: 10.1158/0008-5472.CAN-17-0318

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  12 in total

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Journal:  Nat Genet       Date:  2000-03       Impact factor: 38.330

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Authors:  John N Weinstein
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Journal:  Electrophoresis       Date:  1997 Mar-Apr       Impact factor: 3.535

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Authors: 
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Journal:  BMC Bioinformatics       Date:  2005-07-05       Impact factor: 3.169

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