Warp analysis research pipelines: cloud-optimized workflows for biological data processing and reproducible analysis.

IF 5.4

Bioinformatics (Oxford, England) Pub Date : 2025-10-02 DOI:10.1093/bioinformatics/btaf494

Kylee Degatano, Aseel Awdeh, Robert Sidney Cox, Wes Dingman, George Grant, Farzaneh Khajouei, Elizabeth Kiernan, Kishori Konwar, Kaylee L Mathews, Kevin Palis, Nikelle Petrillo, Geraldine Van der Auwera, Chengchen Rex Wang, Jessica Way

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Abstract

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.

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翘曲分析研究管道：用于生物数据处理和可重复分析的云优化工作流程。

摘要：在大数据时代，云被越来越多地用作计算环境，这就需要开发与云兼容的管道，以跨不同的生物数据集提供统一的分析。Warp分析研究管道（Warp）存储库是GitHub的开源存储库，用于生物数据处理的云优化工作流程，具有语义版本，测试和文档。配套的存储库，WARP- tools，托管Docker容器和在WARP工作流中使用的自定义工具。可用性和实现：WARP和WARP-tools存储库和代码分别可以在https://github.com/broadinstitute/WARP和https://github.com/broadinstitute/WARP-tools上免费获得。这些管道可以从WARP存储库下载，可以从Dockstore导出，也可以导入到Terra等生物信息学平台。补充信息：补充数据可在生物信息学在线获取。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Bioinformatics (Oxford, England)

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