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Creating reproducible pharmacogenomic analysis pipelines
[article]
2019
bioRxiv
pre-print
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 and
doi:10.1101/614560
fatcat:bkwwawj62nh2zbuq4rbabtxz4m