维基路径2024:下一代路径数据库
Ayushi Agrawal1, Hasan Balcı2, Kristina Hanspers1
1Data Science and Biotechnology, Gladstone Institutes, San Francisco, CA, 94158, USA.
Nucleic acids research
|November 9, 2023
概括
开源生物路径数据库WikiPathways已经重组,以提高用户体验和可维护性. 这种演变通过改进的功能和自动化来支持社区策划和科学合作.
科学领域:
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
- 计算生物学 计算生物学
背景情况:
- 维基路径是生物路径信息的重要开源资源.
- 社区合作和开放科学是其成长和成功的基础.
- 数据库面临着与大规模数据策划固有的不断变化的技术挑战.
研究的目的:
- 详细介绍最近在WikiPathways中取得的进展,以支持其持续的增长和合作.
- 概述为确保未来的稳定性和可维持性而进行的重大重组.
- 突出用户体验和社区参与功能方面的改进.
主要方法:
- 主要的网站重新设计和后端重组.
- 实施新的功能,以促进社区的投入.
- 利用自动化来提高数据库的维护能力和策划能力.
主要成果:
- 通过重新设计的网站增强了用户体验.
- 提高生物通路数据库的稳定性和可维护性.
- 新功能使社区参与和投入更大.
结论:
- 经过重组的WikiPathways平台准备好迎接未来的增长和持续的社区策划.
- 增强的技术基础设施和以用户为中心的设计加强了它在生物研究中的作用.
- 对开放科学原则的持续承诺确保了它对科学界的价值.
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