The course will give the student knowledge about molecular evolutionary processes, knowledge and skills in phylogenetic analysis and how this can be used to study (molecular) evolution.
After the course, the student shall be able to
describe evolutionary process at the molecular level
apply molecular methods to study genetic variation within and between species
explain and justify different models of sequence evolution
explain and evaluate different phylogenetic optimality criteria, and select adequate criterion to solve a given problem
sketch and apply the process to do and evaluate a phylogenetic analysis , and explain the different steps
select and apply, for the problem area, existing software on a given biological problem
Mutational processes, evolution of mutation rates, evolution of DNA sequences, the molecular clock, selection and genetic drift on the molecular level, nucleotide composition, polymorphism and SNPs.
Phylogenetic trees and other models, optimality criteria for selecting phylogenetic hypothesis. Substitution models for DNA and other data types. Super trees, consensus trees, tree compatibility. Algorithms for evaluating the tree space; Markov Chain Monte Carlo, genetic algorithms. Evaluation of results from phylogentic analyses, phylogenetic dating.
Instruction will be given as lectures and computer assignments.
To pass the course it is required that all computer exercises equivalent to 4 credits and project assignment equivalent to 2 credits has been presented in writing and is passed. The theory part is examined by a written examination equivalent to 4 credits.