PPT-Genome Evolution Xuhua Xia

xxiauottawaca httpdambebiouottawaca Definitions Genome the entire complement of genetic material carried by an individual Transcriptome with two definitions the entire set of transcribable sequences from the genome operationally all RNA sequences from annotated productive genes in a genome. Denovo genome Denovo genome outline outline novogenome from contigs from assembled contigs annotation Denovo genome Denovo genome Reads contig Gene Gene Annotation Gene Annotation Forgene Fitting Several Regression Lines. Many applications of statistical analysis involves a continuous variable as dependent variable (DV) but both continuous and categorical variables as independent variables (IV). . Slide . 1. Correlation. Simple correlation. between two variables. Multiple and Partial correlations. between one variable and a set of other variables. Canonical Correlation. between two sets of variables each containing more than one variable.. Xuhua Xia. xxia@uottawa.ca. http://dambe.bio.uottawa.ca. Xuhua Xia. Slide . 2. Normal and Thalassemia HBb. Are the two genes homologous?. What evolutionary change can you infer from the alignment? . What is the consequence of the evolutionary change?. Xuhua Xia. xxia@uottawa.ca. http://dambe.bio.uottawa.ca. Xuhua Xia. Slide . 2. Normal and Thalassemia HBb. Are the two genes homologous?. What evolutionary change can you infer from the alignment? . What is the consequence of the evolutionary change?. Xuhua Xia. xxia@uottawa.ca. http://dambe.bio.uottawa.ca. Xuhua Xia. Slide . 2. Lecture Outline. Objectives in this lecture. Grasp the basic concepts distance-based tree-building algorithms. Learn the least-squares criterion and the minimum evolution criterion and how to use them to construct a tree. 1. , Michael B. Ek. 1. , . Christa D. Peters-Lidard. 2. , David Mocko. 2. , . Justin Sheffield. 3. , and Eric F. Wood. 3. 1. Environmental Modeling Center (EMC. ), National Centers for Environmental Prediction, College Park, MD. Many applications of statistical analysis involves a continuous variable as dependent variable (DV) but both continuous and categorical variables as independent variables (IV). . Relationship between DV and continuous IVs is linear and the slope remains the same in different groups: ANCOVA.. 1/09 今天的学习目标 ( Today’s Learning Objectives ) I can speak, read and understand Lesson 18 Dialogue 1. I can understand the Section I Listening Comprehension No. 1-5 on the Chinese Writing Assessment Handouts. http://dambe.bio.uottawa.ca. Slide . 2. Causes of genomic evolution. Variation in genome size and gene content. sequence duplication (genome, segmental, gene). horizontal gene transfer. transposition (Barbara McClintock). in Development, Evolution and History. Manfred D. Laubichler. Arizona State University. Santa Fe Institute. Marine Biological . Laboratory. Max Planck Institute for the History of Science. John’s Challenge for Future Work:. PCA: principal component analysis. Correspondence analysis. Canonical correlation. Discriminant function analysis. Cluster analysis. MANOVA. PCA. Given a set of variables . x. 1. , . x. 2. , …, . x. Previous work [1] studied the use of PTP and Synchronous Ethernet (. SyncE. ) for synchronization of detector data from multiple Pixie-Net modules, an earlier and smaller version of the digitizing and pulse processing electronics described here. The time resolution for coincident events reached ~10ns FWHM with PTP synchronization and 200-800ps FWHM with . John H. Alexander, MD, MHS. on behalf of the PACIFIC-AMI Steering Committee and Investigators. Efficacy and Safety of the Oral Factor XIa Inhibitor, Asundexian, Added to Dual Antiplatelet Therapy After an Acute Myocardial Infarction.