CoMentG:从科学文献中全面检索生物医学概念之间的通用关系
Jorge Novoa1, Javier López-Ibáñez1, Mónica Chagoyen1
1Computational Systems Biology, National Center for Biotechnology (CNB-CSIC), c/ Darwin, 3., Madrid 28049 , Spain.
概括
该资源链接数百万生物医学术语,包括疾病和分子功能,通过分析科学文献中的评论. 这个数据库提供了新的关系来增强生物医学数据的发现.
科学领域:
- 生物医学信息学 生物医学信息学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 科学文献包含大量关于生物医学概念的信息.
- 提取这些概念之间的关系对于推动生物医学研究至关重要.
- 现有的资源可能无法捕捉到概念间关系的全部范围.
研究的目的:
- 开发一个全面的生物医学术语关系资源.
- 为了在PubMed库中利用共同提及分析.
- 为研究人员提供可搜索和可链接的数据库.
主要方法:
- 将共同提及检测方法应用于整个PubMed库.
- 专注于九个关键的生物医学概念类:疾病,症状,分子功能,生物过程,细胞区,解剖部位,细胞类型,细菌和化学化合物.
- 使用现有实体学的标准标识符,以实现互操作性.
主要成果:
- 在超过74,000个术语之间产生了超过700万个关系.
- 发现了许多以前在其他资源中无法获得的关系类型.
- 建立了一个用于交互式探索和数据链接的网络界面.
结论:
- CoMentG为探索生物医学关系提供了一个有价值的,大规模的资源.
- 共同提及方法有效地揭示了新的关联.
- 该数据库促进了生物医学领域内的综合分析和发现.
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