Life Sciences and Jenkins
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Abstract
Jenkins-CI, despite its DevOps pedigree, provides a robust framework for the integration and standardization of scientific workflows. Scientific applications, custom code, data management, analytics, and Jenkins plugins can be integrated into pipelines of arbitrary complexity, and can be made accessible through the Jenkins web portal. As a result, research scientists can easily access and execute common data processing tasks, access high performance computing resources, collaborate with each other, and track data and metadata to enhance reproducible research. I will provide usage examples and highlight some of the Jenkins plugins that we have used to make Jenkins more scientist friendly.
Bio
Computational life scientist with graduate degrees in Biochemistry and Software Engineering. Trained as a research scientist, and later as a software engineer, I am an Open Source advocate, contributor ( http://biouno.org/ ) and educator. I have worked for the biotech and pharmaceutical industry and have diverse experience in developing systems for biological data management, computational workflows, and data analysis.
Connect
https://github.com/imoutsatsos
Life Sciences and Jenkins