一个数据科学实习,向本科生介绍生物信息学用于研究的实践
Bjarne Bartlett1, Monica Stitt-Bergh2, Michael Kantar3
1Department of Molecular Biosciences and Bioengineering, The University of Hawaii at Manoa, Honolulu, Hawaii, USA.
概括
这项研究表明,在入门生物信息学研讨会中将课堂教学与独立研究相结合,可以提高本科生对生命科学数据分析的兴趣和信心. 该课程有效地将基础知识与现代计算生物学工具相结合.
科学领域:
- 生命科学 生命科学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
- 数据科学数据科学数据科学
背景情况:
- 生命科学正在经历数据爆炸,需要向基因组学和定量数据科学转变.
- 本科课程正在不断发展,有更多的生物信息学课程和研究机会来满足这一需求.
研究的目的:
- 探索如何新的入门生物信息学研讨会,结合课堂教学和独立研究,可以培养本科生命科学学生的实际技能.
- 评估学生对这种双重课程方法的学习感知.
主要方法:
- 实施了一个新设计的入门生物信息学研讨会.
- 研讨会将课堂教学与独立研究组件相结合.
- 通过调查来评估学生的学习感知.
主要成果:
- 大多数学生报告说,在研讨会结束后,对生物信息学主题的兴趣增加.
- 学生们对自己的生物信息学能力表现出更大的信心.
- 参与者对数据和基因组科学道德原则的理解得到了改善.
结论:
- 在课堂研讨会中将本科研究与有针对性的生物信息学技能培养相结合,有效地将学生的生命科学知识与计算生物学工具联系起来.
- 这种方法提高了学生的参与度和为数据密集型生命科学研究的职业生涯做好准备.
关键词:
大数据就是大数据.生物信息学是一种生物信息学.计算生物学是计算生物学.数据科学为本科生提供数据科学实践课程 (data science practicum) 是一个数据科学实践课程.独立的研究独立的研究.更多相关视频
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