Course Detail

This course introduces basic mathematical and computational tools to understand genes and genomes, as well as complex systems and diseases. The student will be proficient in the basic mathematics and algorithms of sequence alignment, phylogeny reconstruction, and microarray data analysis, including clustering algorithms and significance testing. The basic tenets of evolutionary theory and computational modeling of evolution, as well as heredity, linkage, and gene mapping will also be covered.

Textbook

M. Zvelebil, J. Baum: Understanding Bioinformatics, Garland Science (2007)

Dealing with databases
Producing and analyzing sequence alignments
Pairwise sequence alignment and database searching
Dealing with databases
Producing and analyzing sequence alignments
Pairwise sequence alignment and database searching

Students will be able to use computational and mathematical methods to solve problems in computational biology and bioinformatics with relevance for the applied life sciences.

Weekly Assignments 70%
Final Exam 30%