A Python-based educational software tool for visualizing bioinformatics alignment algorithms

Elis Khatizah, Hee Jo Nam, Hyun Seok Park

Research output: Contribution to journalArticlepeer-review

Abstract

Bioinformatics education can be defined as the teaching and learning of how to use software tools, along with mathematical and statistical analysis, to solve biological problems. Although many resources are available, most students still struggle to understand even the simplest sequence alignment algorithms. Applying visualizations to these topics benefits both lecturers and students. Unfortunately, educational software for visualizing step-by-step processes in the user experience of sequence alignment algorithms is rare. In this arti-cle, an educational visualization tool for biological sequence alignment is presented, and the source code is released in order to encourage the collaborative power of open-source software, with the expectation of further contributions from the community in the future. Two different modules are integrated to enable a student to investigate the characteristics of alignment algorithms.

Original languageEnglish
Article numbere15
JournalGenomics and Informatics
Volume21
Issue number1
DOIs
StatePublished - Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 Korea Genome Organization.

Keywords

  • educational software
  • Python
  • sequence alignment

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