PPT-Evolutionary signatures of function: Negative selection

Lesson 91 Evolutionary signatures of function Hardison BMMB 551 32915 1 Changes in genome sequence 32915 2 Types of sequence change in DNA CRM cis regulatory module eg promoter or enhancer. Some slides are imported from . “Getting creative with evolution” from. P. Bentley, University College London. http://evonet.dcs.napier.ac.uk/summerschool2002/tutorials.html. http://en.wikipedia.org/wiki/Evolutionary_art. Family Inheritance. Me vs. . my brother. My . dad (my Y). Mom’s . dad. (uncle’s Y). Human ancestry. Disease risk. Genomics: . Regions . . mechanisms .  . drugs. Systems. : genes .  combinations  pathways. 1. Evolutionary Algorithms. CS 478 - Evolutionary Algorithms. 2. Evolutionary Computation/Algorithms. Genetic Algorithms. Simulate “natural” evolution of structures via selection and reproduction, based on performance (fitness). Genetic Algorithm. By: . H.Nematzadeh. Objectives . To understand the processes involved . ie. . . GAs. Basic flows –operator and parameters (roles, effects etc). To be able to apply . GAs. in solving optimisation problems. First lecture: Introduction to Evolutionary Computation. Second lecture: Genetic Programming. Inverted CERN School of Computing 2017. Daniel Lanza - CERN. Agenda. Genetic Programming. Introduction . to . March 5, 2014. 1. Evolutionary Computation (EC). 2. Introduction to Evolutionary Computation. Evolution is this process of adaption with the aim of improving the survival capabilities through processes such as . (4) Courses taken in Biology. (4) Career goals. (5) Email address. (6) Why am I taking this class?. On your Notecards please write the following:. 1. The . Unifying Concept in Biology. Dr. Carol Eunmi Lee. 83Bulletin of the World Health Organization February 2008 86 2What evolutionary biology offers public healthRandolph M Nesseaa University of Michigan Ann Arbor MI 48109 United States of AmericaCorre Positive selection. Lesson 9_2: Evolutionary signatures of function. BMMB 551. Hardison. 3/29/15. 1. Three major classes of evolution. Neutral. evolution. Acts on DNA with no function. Genetic drift allows some random mutations to become fixed in a population. Gibson. Geoscience Research Institute. www.grisda.org. Summary. Evolution is the theory that all organisms have descended from a common ancestor by unguided (natural) processes.. The Cambrian Explosion contradicts the pattern . 2. Behavior Genetics and Evolutionary Psychology. Module 8. 3. Behavior Genetics: Predicting Individual Differences. Genes: Our Codes for Life. Twin and Adoption Studies . Temperament, Heredity, and Personality. First lecture: Introduction to Evolutionary Computation. Second lecture: Genetic Programming. Inverted CERN School of Computing . 2017. Daniel Lanza - CERN. Agenda. Introduction to Evolutionary Computati. panglossian.  is . optimistic. regardless of the circumstances. .. Panglossian. Adjective . Expecting a favorable outcome or dwelling on hopeful aspects. Optimistic:. positive, confident, hopeful, bright. 1. Evolutionary Algorithms. CS 472 - Evolutionary Algorithms. 2. Evolutionary Computation/Algorithms. Genetic Algorithms. Simulate “natural” evolution of structures via selection and reproduction, based on performance (fitness).