Statistical Methods in Bioinformatics 2006

Course objectives

The purpose of this course is to introduce students to methods from probability theory, statistics, and the theory of stochastic processes in the context of bioinformatics applications (e.g. DNA and protein sequence analysis, microarray data analysis, phylogeny). Major topics will include a general introduction into Bayesian statistical inference, clustering and classification, regression methods, stochastic processes and Markov chains, and evolutionary models.

Attendees will work through short tutorial on the topics discussed in the class.


Familiarity with basic concepts from statistics (see Program for details) and knowledge of calculus and linear algebra are prerequisites to fully benefit from this course.
A basic knowledge of Unix is required for the practical sessions of the course.

Registration and Fee

The course will be held from March 20 to March 24, 2006.

The registration fee for academics is 100 CHF.


The schedule is available here.

Location, housing and transportation

See Organisation page.