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Designing Your Course
Sample Syllabus
BIO/CS 471 – Computational Molecular Biology
Course Schedule
BIO/CS 471 Computational Molecular Biology: Application of bioinformatics
algorithms including: dot plot analyses; substitution pattern calculations;
cluster analysis; parsimony approaches; gene recognition; protein
folding; and proteomics. Prerequisite: CS 371, CS 400, BIO 210 and
211, CHM 213.
Text Books and Other Source Materials
D. E. Krane and M. L. Raymer, Undergraduate textbook on bioinformatics,
Benjamin-Cummings, available Fall, 2002.
J. Setubal and J. Meidanis, Introduction to Computational Molecular
Biology.
Coordinator(s)
Dan E. Krane, Associate Professor of Biological Sciences
Michael L. Raymer, Assistant Professor of Computer Science and Engineering
Travis Doom, Assistant Professor of Computer Science and Engineering
Schedule
Each week has two lectures of 75 minutes each. No labs are scheduled.
Students are expected to work in open computer laboratories for
no less than 2 hours a week.
Prerequisite by Topic (computer
science and biology)
1. The chemistry of carbon compounds
2. Data and control structures for computer programs
3. Fundamentals of complexity and analysis
4. The flow of genetic information from DNA to protein
5. Prokaryotic and eukaryotic cell structure and function
6. Chromosome structure, replication, and repair
Course
schedule
| Module I |
Topics |
Reading |
| Protein structure/function |
Ch 1 |
| Data searches and pairwise alignments |
Ch 2 |
| Substitution patterns |
Ch 3 |
| Cluster Analysis |
Ch 4 |
| Module II |
Parsimony approaches |
Ch 5 |
| Gene recognition |
Ch 6 |
| Protein folding |
Ch 7 |
| Proteomics |
Ch 8 |
| Module III |
Contemporary algorithms |
Ref |
| Research project |
Ref |
Grading:
| Home work |
10% |
| Announced Quizzes |
20% |
| Midterm I, and II |
40% |
| Final |
30% |
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