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Published on: May 9, 2017
Training biologists in Unix command-line skills: From curriculum to interactive online tutorials
Lucie Khamvongsa-Charbonnier1, Robert Aboukhalil2, Hélène Chiapello1,3
1IFB-core, Institut Français de Bioinformatique (IFB), CNRS, INSERM, INRAE, CEA, Villejuif, France.
This study introduces a Unix curriculum and interactive online tutorials for life scientists to develop essential bioinformatics skills. The framework, implemented via Sandbox.bio, enhances accessibility to command-line proficiency for data analysis.
Area of Science:
- Bioinformatics
- Computational Biology
- Life Sciences Education
Background:
- The rapid expansion of data in life and health sciences necessitates proficiency in bioinformatics.
- Unix-like systems are fundamental tools in bioinformatics, yet many life scientists lack command-line experience.
- Existing training methods often present barriers related to software installation and access.
Purpose of the Study:
- To address the need for accessible bioinformatics training for life scientists.
- To introduce a structured Unix curriculum tailored for individuals with limited command-line experience.
- To implement this curriculum through an interactive, browser-based learning platform.
Main Methods:
- Development of a progressive Unix curriculum focused on bioinformatics applications.
- Implementation of the curriculum into interactive online tutorials using the Sandbox.bio platform.
- Evaluation of the teaching framework's effectiveness in diverse educational contexts.
Main Results:
- The developed curriculum effectively imparts Unix skills to life scientists.
- Sandbox.bio successfully removes technical barriers, enabling browser-based command-line learning.
- The teaching framework demonstrated inclusivity and sustainability in various settings.
Conclusions:
- This bioinformatics training framework provides widespread access to essential Unix skills for life science professionals and students.
- The combination of a tailored curriculum and an accessible platform enhances bioinformatics education.
- The approach supports the growing demand for data analysis skills in the life sciences.
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