Bioinformatics is a discipline that requires a combination of biological (or biomedical) understanding, familiarity with statistics and strong computational skills. Many programs prioritize the technical aspects of bioinformatics over the biology concepts and logic of analysis, thus limiting the exposure to such non-technical skills as critical thinking, problem solving and in-depth inquiry. In the context of bioinformatics, these skills are rarely taught early on, training students to address new challenges with a technical formula-based approach. In case of new data types or challenges without a straightforward challenge, which is what is often required in research and industry, the students typically fail, reinforcing their perception that more technical training is needed. As a part of our curriculum, that was designed to quickly introduce complex topics and projects, the skills are developed in a project setting that combines insight into the typical problems addressed by a bioinformatician and exposure to the analysis logic, highlighted by our unique online learning environment, the T-BioInfo platform (see more at https://t-bio.info/).
- Next Generation Sequencing as a Big Data problem for educators
- Practical Example of Machine Learning for educators
- Incorporating online learning into curriculum
- Non-technical skills in bioinformatics: tracking student progress, evaluating critical thinking/problem solving
- From logical to codeline: structuring curriculum and aligning resources for student engagement
- Involving students in research