PPT-Statistical Genomics Zhiwu Zhang

Washington State University Lecture 26 Bayesian theory Outline Concept development for genomic selection Bayesian theorem Bayesian transformation Bayesian likelihood Bayesian alphabet for genomic selection. selection, . regulation, epigenomics, . disease. Manolis Kellis. MIT Computer Science & Artificial Intelligence Laboratory. Broad Institute of MIT and Harvard. Recombination breakpoints. Family Inheritance. Prof. William Stafford Noble. Stuff folks liked. Good pace. x3. Powerpoint. was easy to follow. x2. Really appreciate reading the program step by step. x2. Helpful to go over the sample problems at the beginning of class.. Statistics for genomics Mayo-Illinois Computational Genomics Course June 11, 2019 Dave Zhao Department of Statistics University of Illinois at Urbana-Champaign Preparation install.packages (c("Seurat", " Washington State University. Lecture 26: Bayesian theory. Homework 6 (last) due . April . 28, Friday, 3:10PM. Final exam: May 4 (Thursday), 120 minutes (3:10-5:10PM), . 50 questions. Party: April 28, Friday, 4:30-7:30 (food at 5:00), 130 Johnson Hall. selection, . regulation, epigenomics, . disease. Manolis Kellis. MIT Computer Science & Artificial Intelligence Laboratory. Broad Institute of MIT and Harvard. Goal: A systems-level understanding of genomes and gene regulation:. Overview and Capabilities: . . High Throughput Sequencing Facility (HTSG). Functional Genomics M. ammalian Genotyping Core (MGC). Corbin Jones. Faculty Director. Piotr . Meiczkowski . Technologies . What is Structural Genomics ?. Is the process of high-. throughtput. determination of 3-D structures of Biological macromolecules. What is the Goal of Structural Genomics ?. Provision of enough structural templates to facilitate homology modeling of most proteins.. “. User facility. providing high-throughput DNA sequencing & analysis in support of DOE missions in alternative . energy. , . carbon cycling . & . bioremediation. .”. Opened in 1999. ~240 UC Employees. . Carl Pray. 1. Can advances in biology transform Asian agriculture? Challenges are large. Food production . Productivity growth . Crises – . Biological -Africa Swine Fever, corn stalk borer, fall armyworm, wheat rust. What . is . Functional. . Genomics?. RNA . Transcription/Gene. . Expression. Measuring Gene. . Expression. Microarrays. High-throughput. . Sequencing. Transcriptional. . Regulation. Transcription. Dongjun Chung. 7/13/2015. Table of Contents. Logistic regression in statistical genetics.. Negative Binomial . regression in statistical genomics.. Logistic Regression:. Statistical Genetics. The Story begins with…. Assessment of statistical power, false positive rate and type I error of . GWAS. Simulation of phenotypes. True and false positives. Effect of population structure. Power, FDR and type I error. Comparison of methods. Ian Green. Clinical Engagement and Education Business Manager. Strategy. Work undertaken by Genome One (part of the . Garvan. Institute). Work underway. Completion date . –. 17. th. , March 2017. Ravi Madduri. madduri@anl.gov. Joint work with Paul . Davé. , Lukasz . Lacinski. , Alex Rodriguez, . Dinanath. . Sulakhe. , Ryan Chard and Ian Foster. Globus Genomics is developed, operated, and supported by researchers, developers, and .