Clustergrammer, a Web-based Heatmap Visualization and Analysis Tool for High-dimensional Biological Data

Overview

Journal Sci Data

Specialty Science

Date 2017 Oct 11

PMID 28994825

Citations 103

Authors

Nicolas F Fernandez

Gregory W Gundersen

Adeeb Rahman

Mark L Grimes

Klarisa Rikova

Peter Hornbeck

Avi Maayan

Affiliations

Soon will be listed here.

Abstract

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.

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