PPT-Evolutionary signatures of function:

Positive selection Lesson 92 Evolutionary signatures of function BMMB 551 Hardison 32915 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. Khaled Rasheed. Computer Science Dept.. University of Georgia. http://www.cs.uga.edu/~khaled. Genetic algorithms. Parallel genetic algorithms. Genetic programming. Evolution strategies. Classifier systems. vs.. poker games. Yikan. Chen (yc2r@virginia.edu). Weikeng. Qin (wq7yt@virginia.edu). 1. Outline. 2. Evolutionary Algorithm. Poker!. Artificial Neural Network. E-ANN. Evolutionary algorithm. 3. Evolutionary algorithm. Slides by Kent Seamons and Tim van . der. Horst. Last Updated: Oct . 7. , 2013. Digital Signatures. Diagram illustrating how to sign a message. Why do we use a one-way hash?. How does a collision or second pre-image attack relate to this?. 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. Week 5. General feedback: Thought Paper #1. A thought paper is about . your . reasoned . thoughts. If 40% of your TP is your summary, you are losing ~40% of your marks. I do not grade introductions (but you still need them). Genetic Algorithms. Sources. Material in this lecture comes from, “Handbook of Natural Computing,” Editors . Grzegorz. Rosenberg, Thomas Back and . Joost. N. . Kok. , Springer 2014. . In set S. 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. Human. Behavioral Ecology. Evolutionary . Psychology. Hay Day. 1960s. 1970s. 1990 - . 1990 - . Focus on. Universals;. Continuity with Animals. Universals;. . Function. Variation & Diversity. ;. Function. Summary. Contract Law. Signatures & Electronic signatures. Authentication of signatures. Problems with electronic signatures. Mitigating risks with electronic signatures. Contract Law. Written contracts. Signature schemes. A . signature scheme . is . defined by . three PPT algorithms . (Gen, . Sign, . Vrfy. ): . Gen: takes as input 1. n. ; outputs . pk. , . sk. Sign: . takes . as input a private key . A unifying and intuitive approach to . linking static and dynamic stability. Dai . Zusai. Philadelphia, U.S.A.. Lyapunov function. i. ) . attains the minimum value only at an equilibrium; .  . ii) . Lesson . 9_1: . Evolutionary signatures of . function. Hardison . BMMB 551. 3/29/15. 1. Changes in genome sequence. 3/29/15. 2. Types of sequence change in DNA. CRM = . cis. -regulatory module, e.g. promoter or enhancer. panglossian.  is . optimistic. regardless of the circumstances. .. Panglossian. Adjective . Expecting a favorable outcome or dwelling on hopeful aspects. Optimistic:. positive, confident, hopeful, bright.