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Computational Molecular Evolution
Course
en
English
42 h
This content is rated 4.5 out of 5
- Self-paced
- Free Access
- Free certificate
- 6 Sequences
- Introductive Level
Course details
Syllabus
Module 1: Introduction to evolutionary theory and population genetics: models of growth, selection and mutation
Module 2: Neutral mutations and genetic drift. Tree reconstruction by parsimony
Module 3: Consensus trees. Distance matrix methods
Module 4: Models of sequence evolution. Likelihood methods
Module 5: Bayesian inference of phylogeny
Module 6: Testing hypotheses in a phylogenetic context
Module 2: Neutral mutations and genetic drift. Tree reconstruction by parsimony
Module 3: Consensus trees. Distance matrix methods
Module 4: Models of sequence evolution. Likelihood methods
Module 5: Bayesian inference of phylogeny
Module 6: Testing hypotheses in a phylogenetic context
Prerequisite
None
Instructors
- Anders Pedersen - DTU Systems Biology
Editor
DTU focuses on research in technical and natural sciences that contributes to the development of society. As an industrially orientated university, our goal is to supply high-level international research based on combining theory with constructing models and empirical methods.
Platform
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