Broom Bradley M, Ryan Michael C, Brown Robert E, Ikeda Futa, Stucky Mark, Kane David W, Melott James, Wakefield Chris, Casasent Tod D, Akbani Rehan, Weinstein John N
Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
In Silico Solutions, Falls Church, Virginia.
Cancer Res. 2017 Nov 1;77(21):e23-e26. doi: 10.1158/0008-5472.CAN-17-0318.
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. .
聚类热图是生物学中用于可视化分子谱数据最常用的图形。然而,它们通常呈现为静态图像,或者只是适度交互式的图像。我们现在利用网络技术的最新进展制作了交互式“下一代”聚类热图(NG-CHM),能够进行极致缩放和导航而不损失分辨率。NG-CHM还提供指向其他信息源的链接,并包含有助于深入探索图像背后生物学信息的其他功能。在这里,我们描述了NG-CHM系统在Galaxy生物信息学平台中的实现。我们使用来自癌症基因组图谱计划的肾透明细胞癌项目的RNA测序数据来说明该算法和可用的计算工具。