pyBioPortal:一个简化cBioPortal数据访问癌症研究的Python包
Matteo Valerio1, Alessandro Inno1, Stefania Gori1
1Medical Oncology, IRCCS Sacro Cuore Don Calabria Hospital, 37024 Negrar di Valpolicella, Verona, Italy.
JAMIA open
|December 30, 2024
概括
一个新的Python包,pyBioPortal,简化了从cBioPortal获得癌症基因组和临床数据的访问. 该工具简化了研究人员的数据检索和分析,提高了癌症信息学中的可重现性.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 癌症基因组学 癌症基因组学
背景情况:
- 生物医学研究越来越依赖大数据和人工智能,扩大数据库和网络服务.
- cBioPortal是访问癌症基因组和临床数据的关键平台.
- 与cBioPortal的网络服务的程序交互给研究人员带来了挑战.
研究的目的:
- 开发一个工具来简化与cBioPortal网络服务的程序交互.
- 促进更容易获得异构的生物和临床数据.
主要方法:
- 开发了pyBioPortal Python软件包. 这是一个非常好的软件.
- 利用cBioPortal REST API进行数据访问.
- 在Pandas DataFrame格式中返回检索的数据进行分析.
主要成果:
- pyBioPortal为用户和cBioPortal数据库提供了一个高效的界面.
- 数据以适合进一步分析和可视化的格式交付.
- 该工具简化了数据提取,允许专注于分析方面.
结论:
- pyBioPortal解决了访问和处理大型生物医学数据集的挑战.
- 提高了癌症信息学中的数据可访问性,分析性和可重复性.
- 作为一个开源项目,可供生物信息学社区进行协作.
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