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BioFlow-Insight: facilitating reuse of Nextflow workflows with structure reconstruction and visualization
George Marchment1, Bryan Brancotte2, Marie Schmit2
1Université Paris-Saclay, CNRS, Laboratoire Interdisciplinaire des Sciences du Numérique, 91405, Orsay, France.
BioFlow-Insight enhances bioinformatics reproducibility by automatically analyzing Nextflow workflows. This tool generates visual graphs to simplify complex workflow inspection and promote code reuse among researchers.
Area of Science:
- Bioinformatics
- Computational Biology
- Software Engineering
Background:
- Bioinformatics workflows are crucial for reproducible and shareable analyses.
- Nextflow is a popular, flexible system for creating complex bioinformatics workflows.
- Reusing shared Nextflow workflows is hindered by their increasing complexity.
Purpose of the Study:
- To develop a tool for automatic analysis and information extraction from Nextflow workflows.
- To facilitate the inspection and reuse of bioinformatics code.
- To address the challenge of underutilized shared workflow code.
Main Methods:
- Developed BioFlow-Insight, an open-source tool for analyzing Nextflow workflow code.
- Implemented functionality to automatically generate visual graphs of workflow structures.
- Provided BioFlow-Insight as both a command-line interface and a web service.
Main Results:
- BioFlow-Insight successfully analyzes Nextflow workflow code.
- The tool generates informative visual graphs of workflow structures and analysis steps.
- Facilitates easier understanding and potential reuse of complex bioinformatics workflows.
Conclusions:
- BioFlow-Insight aids bioinformaticians in understanding and reusing complex Nextflow workflows.
- The tool promotes better reproducibility and shareability in bioinformatics research.
- Automated analysis and visualization are key to unlocking the potential of shared code.
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