Statistical Population Genetic - 138043
Will not be given the year
Determination of the grade according to progress during the semester and the submission of the final thesis
||Introduction to Computing with Matlab||
||Computer in Medicine||
Course Objectives: the Basics in Statistics and Modeling. the Course Begins with Application to Populations. These Skills Will Be Used to See How the Evolutionay Process (Mutations,Natural Selction,Drift,Distribution Reproduction Processes)Creates and Affects the Genetic Variation, and Vice Versa, How to Understand and Erconstruct Evolutionary Processe. According to Genetic Variation. the Course Wil Focus Mainly on Non- Sexual Prokaryotic Population. Topics: Introduction to Statistics and Prbability: Distributions, Errors and Statistical Tests. Factors Influencing Genetic Variation: Mutation, Selection, Drift. Genetic Diversity in Population and Hardy-Weinberf Equilibrium. the Effect of Selection Type and Random Factors on the Level of Polymorphism. the Neutral Theory and the Molecular Clock. Efistasis. Genome Wide Association Studies (Gwas)Signals for Selection. Phylogenetic Trees. Understanding the Mechanisms of Genetic Variation While
Upon Competition of This Course It Is Intended That the Student Will Be Able to:
1. Apply Basic Principles in Statistics to Population Genetics.
2. Write and Investigate Simulation Models for Genetic.
3. Understand How Drift-Mutation Balance Affect Genetic Diversity.
4. Understand How Selection-Mutation Affect the Rate of Evolution and Genetic Diversity.
5. Understand Advancer Topics Such as Epistasis and Its Effect on the Evolutionary Process. Signals for Selection. Phylogenetic Trees.
|2006||sinauer associates ine||hard d.l and clark a.g||principles of population genetic|
|2014||oxford university press, new york||avis , j.c||modern developments in theoretical population genetics.|
Created in 13/08/2022 Time 09:20:35