Teaching Python programming for bioinformatics with Jupyter notebook in the Post‐COVID ‐19 era

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...

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Veröffentlicht in:Biochemistry and molecular biology education Jg. 51; H. 5; S. 537 - 539
Hauptverfasser: Gupta, Yash Munnalal, Kirana, Satwika Nindya, Homchan, Somjit, Tanasarnpaiboon, Supatcharee
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Wiley 01.09.2023
Wiley Subscription Services, Inc
Schlagworte:
Bioinformatics
Biology
Computer Software
COVID-19
Creative Teaching
Distance Education
Distance learning
Educational technology
Genetics
Information Science Education
Instructional Effectiveness
Laboratory Experiments
Learning
Learning Processes
Nucleotide sequence
Online instruction
Pandemics
Programming Languages
Sequence analysis
Teaching Methods
Usability
COVID-19
teaching material
Jupyter notebook
bioinformatics
Python
ISSN:1470-8175, 1539-3429, 1539-3429
Online-Zugang:Volltext
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Zusammenfassung: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.
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ISSN:1470-8175
1539-3429
1539-3429
DOI:10.1002/bmb.21746