Galaxy Training: A powerful framework for teaching!
Galaxy Training: A powerful framework for teaching!
复制标题
DOI：
10.1371/journal.pcbi.1010752
复制
发表时间：
2023-01
影响因子：
4.3
通讯作者：
中科院分区：
文献类型：
--
作者：
由于自然科学许多领域的最新技术进步，正在产生大量的科学数据集。因此，生命科学在本质上变得越来越具有计算性，生物信息学在研究中起着核心作用。然而，基本的计算技能、数据分析和管理仍然很少在生命科学教育计划中教授，导致许多负责分析这些大数据集的研究人员的技能差距。为了解决这一技能差距并使研究人员能够进行自己的数据分析，银河训练网络（GTN）先前开发了银河训练平台（https://training.galaxyproject.org），这是一个开放获取的社区驱动框架，用于收集FAIR（可查找、可访问、可互操作、可重复使用）训练材料，利用用户友好的银河框架作为其主要数据分析平台。自成立以来，这个培训平台蓬勃发展，教程和贡献者的数量迅速增长，主题范围从生命科学扩展到包括气候学，化学信息学和机器学习等主题。虽然最初旨在直接支持研究人员，但GTN框架已被证明是教育工作者的宝贵资源。近年来，我们一直致力于增加对这个不断增长的教师群体的支持。增加了一些新功能，以方便在课堂环境中使用这些材料，简化新材料的贡献流程，并增加了一套培训师课程。在此，我们介绍GTN项目的最新进展，该项目旨在促进教育工作者使用银河培训材料，并在不同的学习环境中使用。
There is an ongoing explosion of scientific datasets being generated, brought on by recent technological advances in many areas of the natural sciences. As a result, the life sciences have become increasingly computational in nature, and bioinformatics has taken on a central role in research studies. However, basic computational skills, data analysis, and stewardship are still rarely taught in life science educational programs, resulting in a skills gap in many of the researchers tasked with analysing these big datasets. In order to address this skills gap and empower researchers to perform their own data analyses, the Galaxy Training Network (GTN) has previously developed the Galaxy Training Platform (https://training.galaxyproject.org), an open access, community-driven framework for the collection of FAIR (Findable, Accessible, Interoperable, Reusable) training materials for data analysis utilizing the user-friendly Galaxy framework as its primary data analysis platform. Since its inception, this training platform has thrived, with the number of tutorials and contributors growing rapidly, and the range of topics extending beyond life sciences to include topics such as climatology, cheminformatics, and machine learning. While initially aimed at supporting researchers directly, the GTN framework has proven to be an invaluable resource for educators as well. We have focused our efforts in recent years on adding increased support for this growing community of instructors. New features have been added to facilitate the use of the materials in a classroom setting, simplifying the contribution flow for new materials, and have added a set of train-the-trainer lessons. Here, we present the latest developments in the GTN project, aimed at facilitating the use of the Galaxy Training materials by educators, and its usage in different learning environments.
登录
查看更多内容
影响因子：
9.2
作者：
Fahrner M;Föll MC;Grüning BA;Bernt M;Röst H;Schilling O
通讯作者：
Schilling O
影响因子：
9.2
作者：
de Koning W;Miladi M;Hiltemann S;Heikema A;Hays JP;Flemming S;van den Beek M;Mustafa DA;Backofen R;Grüning B;Stubbs AP
通讯作者：
Stubbs AP
影响因子：
8.6
作者：
通讯作者：
--
影响因子：
4.3
作者：
Hall CR;Griffin PC;Lonie AJ;Christiansen JH
通讯作者：
Christiansen JH
影响因子：
4.3
作者：
Gallardo-Alba C;Grüning B;Serrano-Solano B
通讯作者：
Serrano-Solano B