PPT-Genome-wide association studies for microbial genomes

Bas E Dutilh March 4 th 2013 Protein function Phenotypic function Eg apoptosis GO Biological process Cellular function Eg ribosome GO Cellular component Molecular. From Swab to Publication. Madison I. Dunitz. 1. , David A. Coil. 1. , Jenna M. Lang. 1. , Guillaume Jospin. 1. , Aaron E. Darling. 2. , Jonathan A. Eisen. 1. UC Davis Genome Center. 1. University of California, Davis; . Presented by Karen . Xu. What you need to know. Basic genetic concepts behind GWAS. Genotyping technologies and common study designs . Statistical concepts for GWAS analysis. Replication, interpretation and follow-up of association results. Venter et. al (2004). Presented by. Ken . Vittayarukskul. Steven S. White.. Context of the Problem . Evolutionary history is directly tied to microbial genetics. Little is known. Until recently, microbial diversity was measured by PCR amplification and sequencing of only ribosomal genes. Lecture 1: Introduction. Linkage studies. Traditional approach to identifying genes for human traits and diseases was through linkage.. For . Mendelian. diseases (e.g. Huntington’s disease) there is a clear co-segregation of genetic markers with disease within pedigrees.. Production Genomics Facility. “. User facility. providing high-throughput DNA sequencing & analysis in support of DOE missions in alternative . energy. , . carbon cycling . & . bioremediation. BIOST 2055. 04/01/2015. Human Genome and Single Nucleotide Polymorphisms (SNPs). 23 chromosome pairs. 3 billion bases. A single nucleotide change between pairs of chromosomes. E.g. . Haplotype1. : AAGG. Nikos. . Kyrpides. Genome . Biology . Program (GBP). DOE Joint Genome institute. IMG. Genes. Genomes. Functions. Metadata. Clusters. SNPs. Proteomics. Regulons. Transcriptomes. IMG Systems Data Types. 6.1 Introduction to Genomics. 6.2 Sequencing Genomes. 6.3 Bioinformatics and Annotating Genomes. 6.1 Introduction to Genomics. Genome. Entire complement of genetic information. Includes genes, regulatory sequences, and noncoding DNA. What you need to know:. The major goals of the Human Genome Project.. How . prokaryotic genomes compare to eukaryotic genomes. .. Applications of bioinformatics to medicine, evolution, and health.. The activity and role of transposable elements and . Genomics Lesson 12_1. Ross . Hardison. 4/19/15. 1. Genetic association. The occurrence together in a population, more often than can be readily explained by chance, of two or more traits of which at least one is known to be genetic.. “. 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. Kesheng Wang, PhD. Department of Biostatistics and Epidemiology. College of Public Health. East Tennessee State University. 2. Outline. Introduction . Alcohol dependence (AD). Genetic study. . Subjects and Methods. Loren Hauser. Miriam Land. Yun-Juan Chang. Frank Larimer. Doug Hyatt. Cynthia Jeffries. NEB Educational Support. 2. http://www.neb.com/nebecomm/course_support.asp?. Why study Computational Biology. . Nikos. . Kyrpides. DOE . Joint Genome institute. Two main goals of genome analysis:. Evolutionary analysis. How does an organism compare to the rest?. Metabolic reconstruction. What can an organism do and how?.