Algorithms in Sequence Analysis

General info

Date 

Course period: November/December 2011  

Location

VU University, Amsterdam, W&N Building

Website

www.ibi.vu.nl/teaching

Keywords

Dynamic programming, database searching, pairwise and multiple alignment, probabilistic methods including hidden markov models, pattern matching, entropy measures, evolutionary models, and phylogeny

Teacher(s)

Heringa, Jaap Prof. dr.

Contact(s)

Heringa, Jaap Prof. dr.

Description

Have you ever wondered how we can track a gene across 3 billion years of evolution? Sequence alignment can be used to compare genes from humans and bacteria, using a dynamic programming algorithm. Here we focus on algorithms that can be applied to real scientific problems in biology.
Students will obtain an in depth knowledge about the theory of sequence analysis methods.
Students will also develop understanding and skills to apply the algorithms to protein and DNA sequences. We would like to stress that no biological knowledge is required to enter this course.