Data literacy in genome research.

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Journal of Integrative Bioinformatics Pub Date : 2023-12-05 eCollection Date: 2023-12-01 DOI:10.1515/jib-2023-0033
Katharina Wolff, Ronja Friedhoff, Friderieke Schwarzer, Boas Pucker
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引用次数: 0

Abstract

With an ever increasing amount of research data available, it becomes constantly more important to possess data literacy skills to benefit from this valuable resource. An integrative course was developed to teach students the fundamentals of data literacy through an engaging genome sequencing project. Each cohort of students performed planning of the experiment, DNA extraction, nanopore sequencing, genome sequence assembly, prediction of genes in the assembled sequence, and assignment of functional annotation terms to predicted genes. Students learned how to communicate science through writing a protocol in the form of a scientific paper, providing comments during a peer-review process, and presenting their findings as part of an international symposium. Many students enjoyed the opportunity to own a project and to work towards a meaningful objective.

基因组研究中的数据素养。
随着可用的研究数据数量的不断增加,拥有数据素养技能以从这一宝贵资源中受益变得越来越重要。我们开发了一门综合课程,通过一个引人入胜的基因组测序项目来教授学生数据素养的基础知识。每组学生进行实验计划、DNA提取、纳米孔测序、基因组序列组装、组装序列中基因的预测以及对预测基因的功能注释项的分配。学生们通过以科学论文的形式撰写协议、在同行评审过程中提供评论以及在国际研讨会上展示他们的发现,学会了如何交流科学。许多学生都喜欢有机会拥有一个项目,并朝着一个有意义的目标努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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