Genome Evolution
Spring 2012
Amos Tanay, Tuesdays, 9am-11pm, Ziskind 1
The course provides an overview of the basic forces of evolution using two complementary approaches: in the first half, population genetics is introduced as a theory for quantitative modeling of drift, mutation, selection and recombination in evolving populations. In the second half, computational techniques for the inference of evolutionary models given modern massive genomic sequences are described. Together, this combination aims to provide students with insights and technique that are important in practically any field of current biology.
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Schedule (Tentative) Lecture 1: Historical introduction Lecture 2: Pop Genetics I: Models and drift Lecture 3: Pop Genetics II: Recombination and Mutation Lecture 4: Pop Genetics III: selection Lecture 5: Cancer evolution: Basic models (Amir Bar) Lecture 6: Selection/Mutation. Species and speciation Lecture 7: Intro to sequence-based molecular evolution Lecture 8: The simple tree model (Inference, Learning) Lecture 9 (Short): Mutations and context –dependent substitution
models Lecture 10: Variational inference, Sampling and trees Lecture 11: Selection on protein coding genes Lecture 12: Evolution of regulatory sequences Lecture 13: More on evolution of regulation, networks |
ppt1
(ex1) Notes5 (ex2) |
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Notes:
14/3/12: Welcome. 2010 course is here
29/3/12: Exercise 1 updated – you can go ahead solving it