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Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
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A new online computational biology curriculum.
1Independent Consultant, Philadelphia, Pennsylvania, United States of America.
Plos Computational Biology
|June 13, 2014
Summary
Explore hundreds of free online courses for self-study in bioinformatics and computational biology. This catalog organizes web-based educational resources to help expand your knowledge and advance your career.
Area of Science:
- Bioinformatics
- Computational Biology
- Web-based Education
Background:
- Massive Open Online Courses (MOOCs) and digital learning platforms have expanded educational accessibility.
- Self-directed learning is increasingly viable across scientific disciplines.
- Bioinformatics and computational biology require continuous skill development.
Purpose of the Study:
- To present a curated catalog of free online video courses.
- To support self-study in bioinformatics and computational biology.
- To provide career guidance for learners in these fields.
Main Methods:
- Compilation of several hundred free video courses.
- Categorization of courses into eleven subject areas.
- Inclusion of expert commentary and career advice.
Main Results:
- A comprehensive catalog of accessible educational resources.
- Structured learning pathways across key bioinformatics and computational biology topics.
- Actionable career insights for aspiring professionals.
Conclusions:
- The catalog serves as a valuable tool for lifelong learning in bioinformatics and computational biology.
- Accessible online resources can effectively bridge knowledge gaps.
- Integrated career advice enhances the utility of educational platforms.
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