Genome Evolution


Spring 2010

Amos Tanay, Sunday, 9am-11pm, Ziskind 1


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.


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


ppt1       ex1 ppt2


ppt4       ex2



ppt7       ex3


ppt9       ex4


ppt11     ex5





14/3/10: Welcome. 2009 course is here