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The field of pharmacogenomics presents great challenges for researchers that are willing to make their studies reproducible and shareable. This is attributed to the generation of large volumes of high-throughput multimodal data, and the lack of standardized workflows that are robust, scalable, and flexible to perform large-scale analyses. To address this issue, we developed pharmacogenomic workflows in the Common Workflow Language to process two breast cancer datasets in a reproducible anddoi:10.1038/s41597-019-0174-7 pmid:31481707 pmcid:PMC6722117 fatcat:jznstbylxje33chef2llnqkwdq