C-G.36: Managing workflow executions with WESkit
Landfried Kraatz
Berlin Institute of Health at Charité
Sven Olaf Twardziok
Berlin Institute of Health at Charité
Valentin Schneider-Lunitz
Berlin Institute of Health at Charité
Keywords
GA4GH, WES, Workflow, Execution, Analysis
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Managing computational workflows across diverse biomedical projects, each with its own parameters, tools, and execution environments, poses persistent challenges for scalability, reproducibility, and collaborative research. We introduce WESkit, a robust implementation of the Global Alliance for Genomics and Health (GA4GH) Workflow Execution Service (WES) specification that unifies the execution, monitoring, and documentation of data-processing workflows. By supporting both Snakemake and Nextflow, WESkit enables consistent automation and centralized oversight across large numbers of heterogeneous workflow runs. This design empowers research groups and service units to maintain long-term reproducibility, streamline multi-project operations, and scale computational efforts with confidence. Seamless integration with cloud infrastructures further positions WESkit as a practical contributor to the GA4GH cloud ecosystem and a valuable tool for modern, collaborative biomedical data analysis.
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