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复制哈卡通:通过培训促进生物信息学中的可复制性

Thomas Cokelaer^1,2, Sarah Cohen-Boulakia³, Frédéric Lemoine^2,4

¹Institut Pasteur, Université Paris Cité, Plate-Forme Technologique Biomics, 75015 Paris, France.

Bioinformatics (Oxford, England)

|June 30, 2023

概括

将可重复性培训整合到Master中

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
科学复制性科学复制性

背景情况:

复制性危机需要更好的生物信息学数据分析实践.
可复制性的工具已经存在,但面临着采用挑战.
士级教育是广泛采用的关键.

研究的目的:

介绍Reprohackathon,一个旨在教授生物信息学可重现性的士课程.
评估将可重现性概念和工具整合到士课程中的有效性.

主要方法:

一个为期3年的士课程 (Reprohackathon) 涉及123名学生.
课程涵盖可重现性挑战,版本控制,容器化和工作流系统.
学生承担一个3-4个月的项目,重新分析已公布的数据.

主要成果:

实施可重复分析是复杂的,需要大量的努力.
深度教学显著提高了学生对可重复生物信息学的理解和技能.
该 Reprohackathon 提供了关于教学可重复性的宝贵见解.

结论:

士课程对于建立可重复性作为生物信息学标准至关重要.
专门的培训提高了学生进行和分享可重复数据分析的能力.
Reprohackathon模型有效地解决了对实际可重复性技能的需求.

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