Communication Dans Un Congrès Année : 2025

Improving reproducibility in bioinformatics workflows with BioFlow-Model

Mouna El Garb
Emmanuel Coquery
Fabien Duchateau
Nicolas Lumineau

Résumé

Scientific workflows are crucial for managing data, but they do not fully comply with FAIR principles yet. To improve the sharing and reuse of workflow, recent models enable the representation of traces from scientific workflow executions. However they still lack of detailed or unambiguous information. In this paper, we present BioFlow-Model, a model for improving reproducibility and querying of scientific workflows. It extends existing models when possible and provide new concepts where needed. We have also proposed mappings with existing models to increase interoperability.

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Dates et versions

hal-05240352 , version 1 (11-09-2025)

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Mouna El Garb, Emmanuel Coquery, Fabien Duchateau, Nicolas Lumineau. Improving reproducibility in bioinformatics workflows with BioFlow-Model. ACM REP 2025, Jul 2025, Vancouver, Canada. ⟨10.1145/3736731.3746139⟩. ⟨hal-05240352⟩
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