在生物导体社区学习和教学生物数据科学
Jenny Drnevich1, Frederick J Tan2, Fabricio Almeida-Silva3,4
1Roy J. Carver Biotechnology Center, University of Illinois Urbana-Champaign, Illinois, USA.
ArXiv
|March 31, 2025
概括
生物研究产生了大量的数据,需要生物数据科学培训. 本指南突出了生物导体项目资源和对OMIC数据分析的最佳实践,以帮助学习者和教育工作者.
科学领域:
- 生物信息学和计算生物学
- 基因组学和转录基因组学
背景情况:
- 现代生物研究是数据密集型的.
- 越来越需要培训生物数据科学.
研究的目的:
- 提供生物导体项目资源的概述.
- 概述使用生物导体进行omics数据分析的最佳实践.
主要方法:
- 对生物导体项目文档和社区资源的审查.
- 确定用于OMIC数据分析的关键工具和工作流程.
主要成果:
- 生物导体为生物数据科学提供了一个全面的生态系统.
- 最佳实践强调可重复和可扩展的omics数据分析.
结论:
- 生物导体是生物数据科学培训的宝贵资源.
- 本指南支持学生和教育工作者利用生物导体进行欧米分析.
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