fDESI: An open-source web application for visual bioinformatics pipeline design

In bioinformatics, data analysis often involves complex workflows that require processing vast amounts of biological data. Pipelines play a crucial role in automating and organizing these sequences of computational tasks, ensuring reproducibility, efficiency, and scalability. In this paper, we presented F LENP DESI gner ( fDESI ), an open-source and user-friendly web application for visual bioinformatics pipeline design. It allows intuitive pipeline creation through a drag-and-drop interface, generating pipeline descriptions in a JSON-based meta-language. Furthermore, it provides an all-in-one environment to overcome the need for external tools, beyond the third-party software within the pipeline itself. Our contribution includes a flexible framework for pipeline modelling, built-in functionalities requiring no programming expertise, an integrated execution engine, and an open-source graphical interface for streamlined bioinformatics workflow design.

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Publication Details

Journal
Neurocomputing
Published
2025-06-07
DOI
https://doi.org/10.1016/j.neucom.2025.130582
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
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article

fDESI: An open-source web application for visual bioinformatics pipeline design

Mario Cannataro, Pietro Cinaglia
Neurocomputing
Genetics, Bioinformatics, and Biomedical Research
article

fDESI: An open-source web application for visual bioinformatics pipeline design

Mario Cannataro, Pietro Cinaglia
article en

Abstract

In bioinformatics, data analysis often involves complex workflows that require processing vast amounts of biological data. Pipelines play a crucial role in automating and organizing these sequences of computational tasks, ensuring reproducibility, efficiency, and scalability. In this paper, we presented F LENP DESI gner ( fDESI ), an open-source and user-friendly web application for visual bioinformatics pipeline design. It allows intuitive pipeline creation through a drag-and-drop interface, generating pipeline descriptions in a JSON-based meta-language. Furthermore, it provides an all-in-one environment to overcome the need for external tools, beyond the third-party software within the pipeline itself. Our contribution includes a flexible framework for pipeline modelling, built-in functionalities requiring no programming expertise, an integrated execution engine, and an open-source graphical interface for streamlined bioinformatics workflow design.

NeurocomputingVol. 647
Magna Graecia University (IT)
Openalex Percentile: Top 88%
Genetics, Bioinformatics, and Biomedical Research
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