在Metaverse时代,系统生物学中的协作架构
Eliott Jacopin1, Yuki Sakamoto2, Kozo Nishida3,4
1RIKEN, Center for Biosystems Dynamics Research, 6-2-3 Furuedai, Suita, Osaka, 565-0874, Japan. eliott.jacopin@riken.jp.
NPJ systems biology and applications
|January 27, 2024
概括
学术界必须领导Metaverse的发展,以保持科学完整. 我们建议Kosmogora用于数据管理,ECellDive用于虚拟现实探索,增强系统生物学研究和协作.
科学领域:
- 系统生物学 系统生物学
- 科学合作科学合作
- 变态发展 变态发展
背景情况:
- 目前的Metaverse开发主要是由企业利益驱动的,这可能与科学目标相冲突.
- 学术界需要在塑造元宇宙方面发挥更积极的作用,以与研究价值观保持一致.
- 需要专门的平台来支持Metaverse中的科学努力.
研究的目的:
- 为了应对构建有利于系统生物学研究的Metaverse的挑战.
- 为科学协作提出一个集成数据管理和虚拟现实探索的新型解决方案.
- 促进系统生物学中实验家和建模者之间更大的沟通.
主要方法:
- 开发Kosmogora:用于安全和可追溯的生物数据管理的服务器.
- 开发ECellDive:用于数据交互和可视化的虚拟现实应用程序.
- 整合Kosmogora和ECellDive以展示一个功能研究环境.
主要成果:
- 科斯莫戈拉确保生物数据的完整性和可访问性在一个协作Metaverse.
- 通过ECellDive,可以在虚拟环境中进行生物数据的交互式探索和操作.
- 使用集成系统可视化代谢网络及其流量平衡分析.
结论:
- 拟议的Metaverse框架支持强大的系统生物学研究和协作.
- 科斯莫戈拉和ECellDive之间的协同作用促进了复杂的数据分析和可视化.
- 预计这种方法将加强系统生物学中的不同科学学科之间的沟通和合作.
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