Genome Evolution
Spring 2010
Amos Tanay, Sunday,
The course main rationale is that with the advent of genomic technologies, the focus of computational molecular biology turns from phylogeny and analysis of proteins to complex modeling of evolution in heterogeneous genomic regions and complex fitness functions. Understanding evolution in such conditions synthesize principles from population genetics and evolutionary theory with modern algorithms and models that are rich in parameters and structure. The course is therefore introducing both basic principles in population genetics and molecular evolution and the computational techniques required for coping with modern genomic data in evolutionary settings. Many examples from contemporary research on genomics and evolution are discussed.
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Schedule (Tentative): Lecture 1: Historical introduction Lecture 2: Population Genetics I: Models and drift Lecture 3: Population Genetics II: Recombination and Mutation Lecture 4: Population Genetics III: selection Lecture 5: Species and trees. Alignments Lecture 6: Basic molecular evolution. Phylogenetics Lecture 7: Ancsetral inference (the Variational method) Lecture 8: Selection: Protein coding genes Lecture 9: Duplications and rearrangments Lecture 10: Quantitative traits Lecture 11: Comparative genomics: non coding sequences Lecture 12: Comparative genomics: TF binding sites Lecture 13: Epistasis and evolution of gene regulation |
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Notes:
14/3/10: Welcome. 2009 course is here