PWr Seminars

2009-03-19 by noone

Dr. Florian Frommlet, University of Vienna
Hidden Markov Models in Bioinformatics

25.03.2009 - Wed. – 9:15-13:00 – 5.05 – C-11
26.03.2009 – Th. – 9:15-11:00 – 3.06 – C13
26.03.2009 – Th. – 11:15-13:00 – 4.06 – C13
27.03.2009 – Fr. – 11:15-13:00 – 3.31 – C13
27.03.2009 – Fr. – 13:15-15:00 – 4.01 – C13
30.03.2009 – Mon. – 9:15-11:00 – 3.01 – C13

Outline:

- Introduction to sequences in bioinformatics (DNA, Proteins)
- Probabilistic models (Multinomial, Markov chains)
- Sequence alignment (Global, Local)
- Algorithms (Smith Waterman, Blast)
- Multiple scoring matrices
- Multiple alignment, profile search, HMM

Literature:

- Timo Koski: HMM for Bioinformatics
- Ewens, Grant: Statistical Methods in Bioinformatics: An Introduction
- Durbin, Eddy, Krogh, Mitchison: Biological Sequence Analysis
- Frommlet, Futschik, Bogdan: On the Significance of Sequence Alignments when using Multiple Scoring Matrices, Bioinformatics, 20 :881-887, 2004.
- Frommlet, Bogdan, Futschik: Power Analysis of Database Search using Multiple Scoring Matrices, Computational Statistics and Data Analysis, 51: 1656–1663, 2006.