在大众市场视频游戏中,通过公民科学改善微生物系谱
Roman Sarrazin-Gendron1, Parham Ghasemloo Gheidari1, Alexander Butyaev1
1School of Computer Science, McGill University, Montréal, QC, Canada.
Nature biotechnology
|April 15, 2024
概括
公民科学视频游戏可以吸引数百万玩家. 边境科学将微生物组数据分析集成到游戏中,通过大规模众包改进科学研究.
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 公民科学 公民科学
背景情况:
- 公民科学游戏通常针对利基观众,限制了更广泛的参与.
- 一个庞大的全球游戏社区仍然在很大程度上未被用于科学贡献.
研究的目的:
- 开发一个融入商业视频游戏的公民科学游戏,以扩大参与.
- 为了利用大型参与者基础进行复杂的科学数据分析.
主要方法:
- 开发了边境科学 (BLS),这是一个受欢迎的商业游戏中的公民科学活动.
- 实施了游戏优先设计,优先考虑游戏机制以实现任务集成.
- 众包多个序列对齐100万个16S核糖体RNA序列从人类微生物组研究.
主要成果:
- 自2020年4月以来,超过400万名玩家解决了超过1.35亿个科学难题.
- 众包的多个序列对齐改善了微生物系谱的估计.
- 与现有的计算方法相比,增强了UniFrac效果大小.
结论:
- 超游戏化的科学任务可以吸引大量的贡献者.
- 将公民科学整合到商业游戏中,大大扩大了研究能力.
- BLS为科学界提供了宝贵的数据资源.
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