Number

Lecture

1

Introduction

2

Motivation
to Pairwise sequence alignment (1)

3

Pairwise
Sequence Alignment (2): Dynamic programming for global alignment

4

Pairwise
Sequence Alignment (3): Dynamic programming for local alignment

5

Pairwise
Sequence Alignment (4): Dynamic programming in a band & Affine
gap penalties

6

Pairwise
Sequence Alignment (5): Development of scoring matrices (PAM)

7

Pairwise
Sequence Alignment (6): Development of scoring matrices (BLOSUM)
Fast pairwise alignment & database searching tools  BLAST

8

Introduction
to probability and statistics (1)

9

Introduction
to probability and statistics (2)

10

Statistical
Significance of Sequence Alignment and Database Search (1)

11

Statistical
Significance of Sequence Alignment and Database Search (2)

12

How Do We Evaluate Database Search Results?

13

Multiple Sequence
Alignment: Multidimensional Dynamic Programming

14

Phylogenetic
trees: Molecular Evolution (1)

15

Phylogenetic
trees: Molecular Evolution (2)

16

Multiple
Sequence Alignment: Heuristic algorithms

17

Conserved
Sequence Pattern Discovery and Statistical Significance: sequence
profiles (1)

18

Conserved
Sequence Pattern Discovery and Statistical Significance: sequence
profiles (2)

19

Genetic
Regulation: Identifying Promoter Sites

20

Markov
Models (1)

21

Hidden
Markov Models and Their Applications to Sequence Analysis (2)

22

Hidden
Markov Models and Their Applications to Sequence Analysis (3)

23

From
Sequence to Protein Structure: Homology Modeling
