Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, BD2K-LINCS Data Coordination and Integration Center (DCIC), Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.
Human Immune Monitoring Core, Icahn School of Medicine at Mount Sinai, New York, New York 10029, USA.
Sci Data. 2017 Oct 10;4:170151. doi: 10.1038/sdata.2017.151.
Most tools developed to visualize hierarchically clustered heatmaps generate static images. Clustergrammer is a web-based visualization tool with interactive features such as: zooming, panning, filtering, reordering, sharing, performing enrichment analysis, and providing dynamic gene annotations. Clustergrammer can be used to generate shareable interactive visualizations by uploading a data table to a web-site, or by embedding Clustergrammer in Jupyter Notebooks. The Clustergrammer core libraries can also be used as a toolkit by developers to generate visualizations within their own applications. Clustergrammer is demonstrated using gene expression data from the cancer cell line encyclopedia (CCLE), original post-translational modification data collected from lung cancer cells lines by a mass spectrometry approach, and original cytometry by time of flight (CyTOF) single-cell proteomics data from blood. Clustergrammer enables producing interactive web based visualizations for the analysis of diverse biological data.
大多数用于可视化层次聚类热图的工具生成静态图像。Clustergrammer 是一个基于网络的可视化工具，具有交互功能，如：缩放、平移、过滤、重新排序、共享、进行富集分析以及提供动态基因注释。Clustergrammer 可以通过将数据表上传到网站，或者通过在 Jupyter Notebooks 中嵌入 Clustergrammer，来生成可共享的交互式可视化效果。Clustergrammer 的核心库也可以被开发人员用作工具包，以便在他们自己的应用程序中生成可视化效果。本文使用癌症细胞系百科全书（CCLE）的基因表达数据、通过质谱方法从肺癌细胞系中收集的原始翻译后修饰数据以及来自血液的原始飞行时间（CyTOF）单细胞蛋白质组学数据，对 Clustergrammer 进行了演示。Clustergrammer 能够为各种生物数据的分析生成交互式的基于网络的可视化效果。
