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Cancer Res ; 77(21): e23-e26, 2017 11 01.
Artículo en Inglés | MEDLINE | ID: mdl-29092932

RESUMEN

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.


Asunto(s)
Biología Computacional/tendencias , Internet , Neoplasias/genética , Programas Informáticos , Algoritmos , Genoma Humano , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , ARN/genética , Transcriptoma/genética
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