Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data

Sci Data. 2017 Oct 10;4:170151. doi: 10.1038/sdata.2017.151.

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.

Publication types

  • Dataset
  • Research Support, N.I.H., Extramural

MeSH terms

  • Animals
  • Electronic Data Processing / methods*
  • Gene Expression
  • Gene Expression Profiling
  • Humans
  • Proteomics
  • Software*