释放PubMed中央补充数据文件的潜力
Julien Gobeill1,2, Déborah Caucheteur1,2, Alexandre Flament1,2
1SIB Text Mining Group, Swiss Institute of Bioinformatics, Geneva 1206, Switzerland.
Bioinformatics advances
|August 27, 2025
概括
补充数据文件包含了标准搜索遗漏的关键生物信息. 提取这些数据显著改善了对生物实体和数据库的文献搜索,增强了生物修复工作.
科学领域:
- 生物信息学
- 数据科学
- 生物科学
背景情况:
- 生物治疗依赖于对生物实体的文献搜索.
- 标准搜索引擎 (例如,MEDLINE,PubMed Central) 在补充文件中错过了数据.
- 这限制了科学文献的完整性.
研究的目的:
- 通过从补充文件中提取数据来弥补文献索引的差距.
- 评估生物治疗的补充数据所获得的信息.
- 使用此增强数据集评估全球核心生物数据资源 (GCBR) 的可搜索性.
主要方法:
- 在两年内从85%的补充数据文件中系统地提取文本.
- 创建了一个可搜索的3500万份文件.
- 搜索全球核心生物数据资源 (GCBR) 的名称和加入号码.
主要成果:
- 补充文件为资源名称提供6%的回忆增长.
- 97%的已识别的加入号码仅在补充文件中发现.
- 加入号码在补充文件中的公布越来越多,主要是以Excel格式.
结论:
- 补充数据文件对于全面的文献搜索和生物库存至关重要.
- 埃克塞尔文件的普及阻碍了机器可读性和互操作性.
- 需要采用替代数据发布方法来提高数据的可访问性和可重复使用性.
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