4.7 Article

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

Journal

BIOINFORMATICS
Volume 30, Issue 22, Pages 3289-3290

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu526

Keywords

-

Funding

  1. NIH [R01GM098316-01A1, R01DK088541-01A1, U54HG006097-02S1, U54CA189201]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available