TY - JOUR
T1 - Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data
AU - Fernandez, Nicolas F.
AU - Gundersen, Gregory W.
AU - Rahman, Adeeb
AU - Grimes, Mark L.
AU - Rikova, Klarisa
AU - Hornbeck, Peter
AU - Maayan, Avi
PY - 2017/10/10
Y1 - 2017/10/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85030995149&partnerID=8YFLogxK
U2 - 10.1038/sdata.2017.151
DO - 10.1038/sdata.2017.151
M3 - Article
C2 - 28994825
AN - SCOPUS:85030995149
SN - 2052-4463
VL - 4
JO - Scientific data
JF - Scientific data
M1 - 170151
ER -
