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The Dockstore: enhancing a community platform for sharing reproducible and accessible computational protocols
Denis Yuen1, Louise Cabansay2, Andrew Duncan1
1Adaptive Oncology, Ontario Institute for Cancer Research, Toronto, Ontario M5V 3S1, Canada.
Nucleic Acids Research
|May 12, 2021
Summary
Dockstore enhances bioinformatics research by improving the FAIR principles for computational resources. Recent updates expand integrations and collaboration features, boosting scientific reproducibility.
Area of Science:
- Bioinformatics
- Computational Biology
- Scientific Software Engineering
Background:
- Dockstore is an open-source platform for sharing bioinformatics tools and workflows.
- It aims to improve the Findability, Accessibility, Interoperability, and Reusability (FAIR) of computational resources.
- The platform supports diverse repositories, analysis frameworks, and languages to centralize scientific software.
Purpose of the Study:
- To describe recent improvements in the Dockstore platform over the last four years.
- To highlight enhancements that promote scientific reproducibility in bioinformatics.
- To detail new features supporting both authors and users.
Main Methods:
- Expansion of system integrations for authors.
- Addition of collaboration features for users.
- Integration with various analysis platforms.
Main Results:
- Dockstore now supports a wider range of source repositories and workflow languages (WDL, Nextflow, Galaxy, CWL).
- Over twenty-five high-profile organizations utilize Dockstore for sharing analysis collections.
- New features enhance user collaboration and analysis execution across multiple environments.
Conclusions:
- Recent improvements have significantly enhanced Dockstore's utility for the bioinformatics community.
- The platform's focus on FAIR principles and reproducibility is strengthened.
- Dockstore continues to be a vital resource for large-scale biomedical research collaborations.
