EviCor: interactive web-platform for exploration of molecular features and response to anti-cancer drugs

• EviCor provides quick access to cancer-related details of molecular landscapes, followed by visualization, network analysis and statistics. • EviCor allows preliminary validation of candidate biomarkers by comparing uni-and multi-variate models and across platforms and cohorts. • Evicor deals with complexity of large datasets by including multiple features types in multivariate models. Experimental biologists are often left alone with the task to download, process, and analyze big datasets in order to perform correlation or other simpler analyses. To address these issues, we introduce EviCor, a handy toolbox for exploration of data from large public resources such as The Cancer Genome Atlas and The Cancer Cell Line Encyclopedia, complemented with follow-up information on same samples, which couples omics datasets with drug response profiles ( https://www.evicor.org/ ). The data was processed for easy retrieval from the server-side database and includes pre-computed drug-feature correlation tables. Using information from multiple independent sources, the task-oriented web interface presents relations between phenotype, single-molecule, and pathway variables with graphical, statistical, and network analysis tools. Building custom multivariate models is enabled via user-friendly web interface and programmatic access via RESTinterface. Project code is available at https://github.com/aveviort/HyperSet .