在基因组研究中的数据素养
Katharina Wolff1, Ronja Friedhoff1, Friderieke Schwarzer1
1Plant Biotechnology and Bioinformatics, Institute of Plant Biology & BRICS, TU Braunschweig, Braunschweig, Germany.
Journal of integrative bioinformatics
|December 4, 2023
概括
这项研究开发了一个整合性课程,通过基因组测序项目来增强数据素养技能. 学生在实验设计,测序,分析和科学沟通方面获得了实践经验.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 科学教育科学教育教育.
背景情况:
- 越来越多的研究数据需要强大的数据素养技能.
- 传统教育可能没有充分为学生准备数据密集型科学.
研究的目的:
- 开发和评估一个整合性课程,用于教学数据素养基础.
- 让学生参与一个动手的基因组测序项目.
主要方法:
- 学生们进行了实验规划,DNA提取和纳米孔测序.
- 进行了基因组组,基因预测和功能注释.
- 通过撰写论文,同行评审和演讲来磨练科学沟通技巧.
主要成果:
- 学生通过基于项目的学习获得了实际的数据素养技能.
- 该课程促进了对基因组学工作流程的全面理解.
- 学生对该项目的参与和所有权在学生中很高.
结论:
- 综合性,基于项目的方法有效地教导基因组学中的数据素养.
- 在测序和分析方面的实践经验增强了科学理解和沟通.
- 这个模型为数据科学教育提供了有价值的框架.
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