DepLink: an R Shiny app to systematically link genetic and pharmacologic dependencies of cancer
Tapsya NayakiD, Li‐Ju WangiD, Michael NingiD, Gabriela Rubannelsonkumar, Eric Jin, Siyuan ZhengiD, Peter J. HoughtoniD, Yufei HuangiD, Yu‐Chiao ChiuiD, Yidong CheniD
Abstract
Large-scale genetic and pharmacologic dependency maps are generated to reveal genetic vulnerabilities and drug sensitivities of cancer. However, user-friendly software is needed to systematically link such maps. Here we present DepLink, an R Shiny server to identify genetic and pharmacologic perturbations that induce similar effects on cell viability or molecular changes. DepLink integrates heterogeneous datasets of genome-wide CRISPR loss-of-function screens, high-throughput pharmacologic screens, and perturbation expression signatures. The datasets are systematically connected by four complementary modules tailored for different query scenarios. In summary, DepLink enables easy navigation, visualization, and linkage of rapidly evolving cancer dependency maps.
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