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Updated: Jul 11, 2025
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A Web Tool for Generating High Quality Machine-readable Biological Pathways
Published on: February 8, 2017
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WikiPathways 2024: next generation pathway database
Ayushi Agrawal1, Hasan Balcı2, Kristina Hanspers1
1Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, 94158, USA.
Nucleic Acids Research
|November 9, 2023
Summary
WikiPathways, an open-source biological pathway database, has been restructured to enhance user experience and maintainability. This evolution supports community curation and scientific collaboration through improved functionality and automation.
Area of Science:
- Bioinformatics
- Systems Biology
- Computational Biology
Background:
- WikiPathways is a vital open-source resource for biological pathway information.
- Community collaboration and open science are fundamental to its growth and success.
- The database faces evolving technical challenges inherent in large-scale data curation.
Purpose of the Study:
- To detail recent advancements in WikiPathways supporting its continued growth and collaboration.
- To outline the major restructuring undertaken to ensure future stability and maintainability.
- To highlight improvements in user experience and community engagement functionalities.
Main Methods:
- Major website redesign and backend restructuring.
- Implementation of new functionalities to facilitate community input.
- Leveraging automation for improved database maintainability and curation.
Main Results:
- Enhanced user experience through a redesigned website.
- Improved stability and maintainability of the biological pathway database.
- New features enabling greater community participation and input.
Conclusions:
- The restructured WikiPathways platform is poised for future growth and sustained community curation.
- Enhanced technical infrastructure and user-focused design strengthen its role in biological research.
- Continued commitment to open science principles ensures its value to the scientific community.
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