Abstract
Reproducibility, resilience, and large-scale data processing have become fundamental for developing scientific research, particularly in bioinformatics. One may consider the use of Scientific Workflow Management Systems (SWfMS) to address these topics. However, user interactivity during the execution of workflows, especially with a preliminary result generated by an inner workflow task, is still an issue. We present in this paper an architecture that meets the interactive requirements of these systems, allowing the development of a flexible layer for end users to interact directly with SWfMS. Besides presenting our software solution, we show an application in the context of cancer gene identification for drug design.
Supported by the Brazilian Science and Technology Ministery and by CAPES Funding Agency.
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Notes
- 1.
Prefect architecture: https://docs.prefect.io/orchestration/server/architecture.html.
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Vieira, D.M., Heine, A., de Armas, E.M., de Lanna, C.A., Boroni, M., Lifschitz, S. (2022). Scientific Workflow Interactions: An Application to Cancer Gene Identification. In: Scherer, N.M., de Melo-Minardi, R.C. (eds) Advances in Bioinformatics and Computational Biology. BSB 2022. Lecture Notes in Computer Science(), vol 13523. Springer, Cham. https://doi.org/10.1007/978-3-031-21175-1_2
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