• Teaching Python programming fo...

Treffer: Teaching Python programming for bioinformatics with Jupyter notebook in the Post-COVID-19 era.

Title:
Teaching Python programming for bioinformatics with Jupyter notebook in the Post-COVID-19 era.
Authors:
Gupta YM; Department of Biology, Faculty of Science, Naresuan University, Phitsanulok, Thailand., Kirana SN; Business Management and Languages, Faculty of Management Science, Silpakorn University, Petchaburi, Thailand., Homchan S; Department of Biology, Faculty of Science, Naresuan University, Phitsanulok, Thailand., Tanasarnpaiboon S; Department of Biology, Faculty of Science, Naresuan University, Phitsanulok, Thailand.
Source:
Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology [Biochem Mol Biol Educ] 2023 Sep-Oct; Vol. 51 (5), pp. 537-539. Date of Electronic Publication: 2023 May 18.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: John Wiley & sons Country of Publication: United States NLM ID: 100970605 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1539-3429 (Electronic) Linking ISSN: 14708175 NLM ISO Abbreviation: Biochem Mol Biol Educ Subsets: MEDLINE
Imprint Name(s):
Publication: 2002- : Hoboken, NJ : John Wiley & sons
Original Publication: Oxford, UK : Elsevier, c2000-
References:
Andreu-Perez J, Poon CCY, Merrifield RD, Wong STC, Yang GZ. Big data for health. IEEE J Biomed Health Inform. 2015;19(4):1193-208.
Watson JD, Crick FH. The structure of DNA. Cold Spring Harbor symposia on quantitative biology. Cold Spring Harbor Laboratory Press; 1953. p. 123-31.
Fourment M, Gillings MR. A comparison of common programming languages used in bioinformatics. BMC Bioinform. 2008;9(1):1-9.
Cardoso A, Leitão J, Teixeira C. Using the Jupyter notebook as a tool to support the teaching and learning processes in engineering courses. International conference on interactive collaborative learning. Cham: Springer; 2018. p. 227-36.
Ortiz PA. Teaching in the time of COVID-19. Biochem Mol Bio Educ. 2020;48(3):201.
Grant Information:
R2565B075 Naresuan University; R2565B075 This work was supported by Naresuan University (NU), and National Science, Research and Innovation Fund (NSRF), Thailand; Naresuan University (NU); R2565B075 National Science, Research and Innovation Fund (NSRF), Thailand
Contributed Indexing:
Keywords: COVID-19; Jupyter notebook; Python; bioinformatics; teaching material
Entry Date(s):
Date Created: 20230518 Latest Revision: 20231006
Update Code:
20250114
DOI:
10.1002/bmb.21746
PMID:
37199252
Database:
MEDLINE

Weitere Informationen

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.
(© 2023 International Union of Biochemistry and Molecular Biology.)