Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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A Python-based educational software tool for visualizing bioinformatics alignment algorithms

  • Elis Khatizah (Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University) ;
  • Hee-Jo Nam (Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University) ;
  • Hyun-Seok Park (Bioinformatics Laboratory, ELTEC College of Engineering, Ewha Womans University)
  • Received : 2022.08.29
  • Accepted : 2023.01.14
  • Published : 2023.03.31
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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 article, 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.

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References

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