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A programming course in bioinformatics for computer and information science students

R B Altman1, J Koza

  • 1Section on Medical Informatics, SUMC, Stanford, CA 94305-5479, USA. altman@camis.stanford.edu

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
|January 1, 1996
PubMed
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This course introduces computational molecular biology, equipping students with essential skills for research. It covers algorithms and representations, culminating in a protein threading challenge for sequence analysis.

Area of Science:

  • Computational Molecular Biology
  • Bioinformatics Education

Background:

  • Growing need for computational skills in molecular biology research.
  • Bridging the gap between computer science and molecular biology data analysis.

Purpose of the Study:

  • To provide a technical introduction to computational molecular biology for students.
  • To equip students with research assistant skills in bioinformatics.
  • To showcase local investigators' work in molecular biology computing.

Main Methods:

  • A programming course structure with major projects and smaller assignments.
  • Lectures focusing on fundamental representations and algorithms.
  • Focused lectures highlighting faculty research interests in structural molecular biology and sequence analysis.

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Main Results:

  • Students gained practical experience through hands-on projects and assignments.
  • The course successfully integrated theoretical concepts with practical applications.
  • A protein threading challenge was used to assess students' ability in sequence analysis.

Conclusions:

  • The course effectively met its objectives in training students for computational molecular biology.
  • The curriculum is now a core requirement in the Medical Information Sciences program.
  • The course successfully fostered interdisciplinary learning and research skills.