ArticleCancer research2017
A Galaxy Implementation of Next-Generation Clustered Heatmaps for Interactive Exploration of Molecular Profiling Data.
Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
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- Mitochondrial interactome quantitation reveals structural changes in metabolic machinery in the failing murine heart.Nature cardiovascular research · 2022Article
- Fibroblast Growth Factor Receptor 1 Drives the Metastatic Progression of Prostate Cancer.European urology oncology · 2022Article
- Adaptive translational pausing is a hallmark of the cellular response to severe environmental stress.Molecular cell · 2021Article
- Enzymes in the Cholesterol Synthesis Pathway: Interactomics in the Cancer Context.Biomedicines · 2021Article
- Protein Prenylation and Hsp40 in Thermotolerance of Plasmodium falciparum Malaria Parasites.mBio · 2021Article
- Low-Dose Radiation Potentiates the Propagation of Anti-Tumor Immunity against Melanoma Tumor in the Brain after In Situ Vaccination at a Tumor outside the Brain.Radiation research · 2021Article
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11 authors.
Funding
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.
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