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Bioinformatics. 2014 Nov 15;30(22):3289-90. doi: 10.1093/bioinformatics/btu526. Epub 2014 Aug 6.

Drug/Cell-line Browser: interactive canvas visualization of cancer drug/cell-line viability assay datasets.

Author information

  • 1Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Icahn School of Medicine at Mount Sinai, New York, NY 10029 and Center for Cancer Research, Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, MA 02129, USA.

Abstract

SUMMARY:

Recently, several high profile studies collected cell viability data from panels of cancer cell lines treated with many drugs applied at different concentrations. Such drug sensitivity data for cancer cell lines provide suggestive treatments for different types and subtypes of cancer. Visualization of these datasets can reveal patterns that may not be obvious by examining the data without such efforts. Here we introduce Drug/Cell-line Browser (DCB), an online interactive HTML5 data visualization tool for interacting with three of the recently published datasets of cancer cell lines/drug-viability studies. DCB uses clustering and canvas visualization of the drugs and the cell lines, as well as a bar graph that summarizes drug effectiveness for the tissue of origin or the cancer subtypes for single or multiple drugs. DCB can help in understanding drug response patterns and prioritizing drug/cancer cell line interactions by tissue of origin or cancer subtype.

AVAILABILITY AND IMPLEMENTATION:

DCB is an open source Web-based tool that is freely available at: http://www.maayanlab.net/LINCS/DCB CONTACT: avi.maayan@mssm.edu

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
25100688
PMCID:
PMC4221125
DOI:
10.1093/bioinformatics/btu526
[PubMed - indexed for MEDLINE]
Free PMC Article
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