ERIC Number: EJ1395389
Record Type: Journal
Publication Date: 2023
Pages: 3
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1470-8175
EISSN: EISSN-1539-3429
Teaching Python Programming for Bioinformatics with Jupyter Notebook in the Post-COVID-19 Era
Gupta, Yash Munnalal; Kirana, Satwika Nindya; Homchan, Somjit; Tanasarnpaiboon, Supatcharee
Biochemistry and Molecular Biology Education, v51 n5 p537-539 Sep-Oct 2023
The COVID-19 pandemic has forced the Bioinformatics course to switch from on-site teaching to remote learning. This shift has prompted a change in teaching methods and laboratory activities. Students need to have a basic understanding of DNA sequences and how to analyze them using custom scripts. To facilitate learning, we have modified the course to use Jupyter Notebook, which offers an alternative approach to writing custom scripts for basic DNA sequence analysis. This approach allows students to acquire the necessary skills while working remotely. It is a versatile and user-friendly platform that can be used to combine explanations, code, and results in a single document. This feature enables students to interact with the code and results, making the learning process more engaging and effective. Jupyter Notebook provides a hybrid approach to learning basic Python scripting and genomics that is effective for remote teaching and learning during the COVID-19 pandemic.
Descriptors: Programming Languages, Teaching Methods, Computer Software, Genetics, Laboratory Experiments, COVID-19, Pandemics, Biology, Information Science Education, Distance Education, Usability, Instructional Effectiveness
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://bibliotheek.ehb.be:2191/en-us
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A