PPT-Transposition Xuhua Xia xxia@uottawa.ca

httpdambebiouottawaca Slide 2 Causes of genomic evolution Variation in genome size and gene content sequence duplication genome segmental gene horizontal gene transfer transposition Barbara McClintock. 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). . OF . OTTAWA PENSION . PLAN. New Pension Plan . Member. Luc Lauzière . September. , 2015 . Last . update: . July 23, . 2015. uOttawa.ca. AGENDA. Section 1-Pension Plan. Defined Benefit Pension Plan. H Reference Chart Fre nch horn transposition chart Bruce Hembd, h ornmatters.com KEY INTERVAL * O CCURRENCE EXAMPLE * Horn in C (alto) u p P5 Rare Horn in B - flat (alto) u p P4 Less Common Horn i Part . 4: Transposition Ciphers. CSCI 5857: Encoding and Encryption . Outline. Transposition ciphers. Attacks on transposition ciphers. Effectiveness of using multiple keys. Avalanche effect as a goal of encryption. 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?. Stepwise Regression. Y may depend on many independent variables. How to find a subset of X’s that best predict Y?. There are several criteria (e.g., adjusted R. 2. , AIC, BIC, likelihood ratio test, etc.) for model selection and many algorithms for including or excluding X’s in the model: forward selection, backward elimination, stepwise regression, etc.. Homologous recombination. Site-specific recombination. Transposition . Different sets of proteins are responsible for the. different types of DNA exchange.. Transposition. Transposons are present in all forms of life. 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. 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.. Peter J. Stern. , MD. No conflicts relevant to this presentation. Ander . Artakis. , B.A., . UCMC IV. SUBMUSCULAR. . TRANSPOSITION. ADVANTAGES. Quite frankly: adv. few. Reasonable support in the literature. 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?. 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.