Master's Programme in Life Science Informatics is responsible for the course.
Optional course for:
- Biostatistics and bionformatics study track
The course is available to students from other degree programmes.
At least MAT120 Tilastotieteen perusopinnot or basics of statistical inference, including probability calculus.
The goal is to provide understanding of life through statistical and computational analyses of molecular information.
1. or 2. year of studies.
The course is offered in teaching period III.
Models of molecular evolution and phylogeny inference, distance matrix methods, maximum likelihood, bayesian and network inference. Past, or traditional, practice on phylogenetics has been to describe relationships among species within the disciplines systematics and taxonomy. Today the scope is much wider. Phylogenetics is used as a necessary tool in all kind of bioscience research questions: relationships among genes, gene families, alleles, cell lines, various genomic components, histories of populations, evolutionary and epidemiological dynamics of bacteria and viruses, etc. Phylomics is the natural extension of genomics and metagenomics, phylotyping the current way of understanding ecosystems within and outside organisms (environments) and evolutionary thinking is a complementary framework to medical genetics. Statistical and computational approaches, based on predictions derived from population genetics theory, aim at dissecting neutral (stochastic) and selected (darwinian natural selection) components of genetic diversity.
Course assignments will be from human, animal, virus, bacteria data.
Contact teaching in computer class.