Bayesian paradigm in genetic bioinformatics, fall 2008
Last modified by varvio@helsinki_fi on 2024/03/27 09:59
Bayesian paradigm in genetic bioinformatics, fall 2008
Lecturer
Scope
2 cu (or more, depending on the extent of home work the student wants to perform).
Type
Advanced studies
Prerequisites
Applicable to 1. and 2. year studies in Master´s degree programmes Bayesian statistics and Bioinformatics.
Lectures
(Weeks 48, 50: Wednesday 10-16 and week 49: Thursday 14-18, B120 (Exactum))
Contents
Applications of Bayesian approach in genetic bioinformatics, computer programs and data analysis of genetic past, phylogenetics, coalescence, relatedness, haplotype structure, disease gene associations.
Material by handnotes.
Registration
During first lecture or by e-mail to lecturer.