When you click the Amazon logo to the left of any citation and purchase the book (or other media) from Amazon.com, MIT OpenCourseWare will receive up to 10% of this purchase and any other purchases you make during that visit. This will not increase the cost of your purchase. Links provided are to the US Amazon site, but you can also support OCW through Amazon sites in other regions. Learn more. |
LEC # | TOPICS | READINGS |
---|---|---|
Introduction to Biology | ||
1 | The Central Dogma: Some Algorithms Introduction | |
Enumerative Solutions: Partial Digest Problem and Median Strings | ||
2 | Partial Digest Problem | Chapter 4 |
3 | Motifs and Median Strings | Chapter 4 |
Dynamic Programming: Sequence Alignments | ||
4 | Global Alignment | Chapter 6 |
5 | Local Alignment | Chapter 6 |
6 | Spliced Alignment | Chapter 6 |
7 | More Efficient Alignment | Chapter 7 |
Graph Theory: Sequencing Genes and Proteins | ||
8 | Genomics and SBH Graphs | Chapter 8 |
9 | Peptide Graphs | Chapter 8 |
Pattern Matching: Exact Matches, Gapless Alignments, and BLAST | ||
10 | Exact Pattern Matching | Chapter 9 |
11 | Suffix Trees | |
12 | Suffix Arrays and BWTs | Chapter 9 |
13 | BLAST | Chapter 9 |
Clustering: Microarrays and Phylogeny | ||
14 | Clustering (Guest Lecturer) | Chapter 10 |
15 | Trees | Chapter 10 |
Neighbor Joining | ||
16 | Review of Phylogenetic Analysis Coalescent Theory in Biology | |
17 | Application: Microarrays (Guest Lecturer) | Chapter 10 |
Probabilistic Models and Machine Learning: Gene Annotation and Evolution | ||
18 | Hidden Markov Models I | Chapter 11 |
19 | Hidden Markov Models II | Chapter 11 |
20 | Gibbs Sampling | Chapter 12 |
21 | Random Projections | Chapter 12 |
22 | MCMC and Bayesian Networks | |
Horizons | ||
23 | The Future: Protein Structure (Guest Lecturer) | |
24 | The Future: Haplotype Mapping (Guest Lecturer) | |
25 | Presentations of Final Projects | |
26 | Presentations of Final Projects (cont.) |
Recommended Readings
The following list of books will give greater understanding on specific topics.
Setubal, Carlos, and Joao Meidanis. Introduction to Computational Molecular Biology. 1st ed. Boston, MA: PWS Publishing, January 16, 1997. ISBN: 0534952623.
Durbin, Richard, Sean R. Eddy, Anders Krogh, and Graeme Mitchison. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge, UK: Cambridge University Press, Reprint edition, July 1, 1999. ISBN: 0521629713.
Gusfield, Dan. Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology. 1st ed. Cambridge, UK: Cambridge University Press, January 15, 1997. ISBN: 0521585198.
Lodish, Harvey, David Baltimore, Arnold Berk, S. Lawrence Zipursky, Paul Matsudaira, and James Darnell. Molecular Cell Biology. New York, NY: W. H. Freeman & Company, 3rd Package edition, March 1, 1995. ISBN: 0716736861.
Branden, Carl-Ivar, and John Tooze. Introduction to Protein Structure. 2nd ed. New York, NY: Garland Publishing, January 15, 1999. ISBN: 0815323050.
Clote, Peter, and Rolf Backofen. Computational Molecular Biology: Introduction. 1st ed. New York, NY: John Wiley & Sons, September 22, 2000. ISBN: 0471872520.