|
Topic
|
No. of hours
|
Lecture
|
Tutorial/Practical
|
|
Review of generic algorithmic techniques and algorithm complexity analysis.
|
3
|
3
|
-
|
|
Review of biologic background.
|
3
|
3
|
-
|
|
Motiffinding problem and searching techniques.
|
6
|
6
|
-
|
|
Genome rearrangements and greedy/approximation algorithms.
|
3
|
3
|
-
|
|
Sequence alignments and dynamic programming algorithms.
|
6
|
6
|
-
|
|
Graph algorithms for DNA/protein sequencing problems.
|
3
|
3
|
-
|
|
Combinatorial Pattern Matching.
|
6
|
6
|
-
|
|
Clustering algorithms and Evolutionary trees.
|
3
|
3
|
-
|
|
Hidden Markov Models.
|
3
|
3
|
-
|
|
Randomized Algorithms.
|
6
|
6
|
-
|
