The materials in the "Assigned Reading" column are directly related to the topics covered in class. Readings under "Additional Topics" are strictly optional and will not be covered on the exams.
In some cases, the same material is covered in more than one textbook. You have the choice of selecting the text that presents a treatment of the material most to your liking. It is your responsibility to make sure that you understand the material covered in class and you may read as many or as few of these texts needed to achieve that goal.
Access to full Lecture Notes Lecture Notes
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| 1. | Aug. 26 |
Introduction
Pairwise sequence alignment ( lecture notes , pp. 1 - 3) |
Review biology and algorithms background | |
| 2. | Aug. 28 |
Readyness Quiz |
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| 3. | Sep. 2 |
Global pairwise sequence alignment ( lecture notes , Section 1.1) |
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| 4. | Sep. 4 |
Local pairwise alignment
( lecture notes , Section 1.2) Local alignment examples. |
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| 5. | Sep. 9 |
Global multiple sequence alignment ( lecture notes , Sections 2.1, 2.2) |
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| 6. | Sep. 11 |
Global multiple alignment: heuristic methods
Today's slides Lecture notes , Sections 2.3 |
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Protein multiple sequence alignment,
Do and Katoh, 2008. A survey on the algorithm and development of multiple sequence alignment, Zhang et al, 2022. |
| 7. | Sep. 16 |
Introduction to Markov chains.
Lecture Notes
Sections 3.1
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| 8. | Sep. 18 |
Markov chains,
Lecture Notes
Sections 3.1
Problem set 2, due Fri, 9/26, at 11:59pm. |
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| 9. | Sep. 23 |
Markov models of sequence evolution Lecture Notes Section 3.2 Today's slides Periodicity handout |
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| 10. | Sep. 25 |
Applications of DNA substitution
models
Lecture Notes Section 3.3 Today's slides Problem set 2, due tomorrow at midnight. |
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| 11. | Sep. 30 |
Today's slides EXAM 1: 7:30pm - 9:30pm, DH 5403 - This exam is closed book. You may bring two pages (or one page, front and back) of your own notes. - The exam covers material covered in Lectures 1 through 9. |
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| 12. | Oct. 2 |
Phylogenetics |
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| 13. | Oct. 7 |
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| 14. | Oct. 9 |
PAM30 , PAM250 |
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| Oct. 14 & Oct. 16 |
Mid semester break, NO CLASS. |
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| 15. | Oct. 21 |
BLOSUM62 Today's slides / |
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| 16. | Oct. 23 |
Mid-semester scores Problem set 3, due tomorrow at midnight. |
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| 17. | Oct. 28 |
Blast Statistics
Today's slides |
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| 18. | Oct. 30 |
Today's slides |
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| Nov. 4 |
Election Day; No class |
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| 19. | Nov. 6 |
Statistics of database searching, cont'd Today's slides |
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| 20. | Nov. 11 |
Blast demos Exam 2: 7:30pm - 9:30pm WH 5403 |
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| 21. | Nov. 13 |
Lecture notes, section 6.1 Today's slides |
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| 22. | Nov. 18 |
Hidden Markov models (HMMs) for sequence analysis Introduction Lecture Notes 7.1-7.3 Today's slides Forward example |
Parameter estimation with labeled sequences: Lecture Notes 7.6.2, pp. 146-148. | Tutorial on Hidden Markov Models, L.R. Rabiner, Proc. IEEE, 1989 |
| 23. | Nov. 20 |
HMM recognition algorithms
Lecture notes,
section 7.4, 7.5
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| 24. | Nov. 25 |
HMM recognition, discovery Lecture notes, section 7.4, 7.5, 7.6.2 Today's slides |
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| Nov. 27 |
Thanksgiving Holiday: No class |
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| 25. | Dec. 2 |
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| 26. | Dec. 4 |
Multiple sequence alignment with profile HMMs
Today's slides
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The exam
covers the entire semester, but with a strong emphasis on
the last third of the course:
Study Guide
This exam is closed book. You may bring four pages (or two pages, front and back) of your own notes. You will not need a calculator. |
Last modified: Dec. 4, 2025.