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Warp analysis research pipelines: cloud-optimized workflows for biological data processing and reproducible analysis
Kylee Degatano1, Aseel Awdeh1, Robert Sidney Cox Iii1
1Data Sciences Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Summary:
In the era of large data, the cloud is increasingly used as a computing environment, necessitating the development of cloud-compatible pipelines that can provide uniform analysis across disparate biological datasets. The Warp Analysis Research Pipelines (WARP) repository is a GitHub repository of open-source, cloud-optimized workflows for biological data processing that are semantically versioned, tested, and documented. A companion repository, WARP-Tools, hosts Docker containers and custom tools used in WARP workflows.
Availability And Implementation:
The WARP and WARP-Tools repositories and code are freely available at https://github.com/broadinstitute/WARP and https://github.com/broadinstitute/WARP-tools, respectively. The pipelines are available for download from the WARP repository, can be exported from Dockstore, and can be imported to a bioinformatics platform such as Terra.
