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Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming
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Gupta, Yash Munnalal; Kirana, Satwika Nindya; Homchan, Somjit; Tanasarnpaiboon, Supatcharee – Biochemistry and Molecular Biology Education, 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…
Descriptors: Programming Languages, Teaching Methods, Computer Software, Genetics
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Singh, Gurmukh; Siddiqui, Khalid; Singh, Mankiran; Singh, Satpal – Journal of Educational Technology Systems, 2011
The current research article is based on a simple and practical way of employing the computational power of widely available, versatile software MS Excel 2007 to perform interactive computer simulations for undergraduate/graduate students in biology, biochemistry, biophysics, microbiology, medicine in college and university classroom setting. To…
Descriptors: Heredity, Genetics, Biological Sciences, Medical Education
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Honts, Jerry E. – Cell Biology Education, 2003
Recent advances in genomics and structural biology have resulted in an unprecedented increase in biological data available from Internet-accessible databases. In order to help students effectively use this vast repository of information, undergraduate biology students at Drake University were introduced to bioinformatics software and databases in…
Descriptors: Introductory Courses, Programming Languages, Cytology, Biology