'2 pq' presentation slideshows

Light Reactions of Photosynthesis

1.15k views • 75 slides

Introduction

Introduction. Science of genetics can be divided into 4 subdisciplines: Transmission genetics : how are genes passed from one generation to the next? Study object: individual Molecular genetics : how relates DNA to phenotype? Study object: cell

822 views • 72 slides

Biometrical Models and Introduction to Genetic Analysis

Biometrical Models and Introduction to Genetic Analysis. Pak Sham, University of Hong Kong 4 th March 2019 The 2019 International Workshop on Statistical Genetics Methods for Human Complex Traits. What is biometrical genetics?.

917 views • 58 slides

Biometrical genetics

Biometrical genetics. Manuel AR Ferreira. Massachusetts General Hospital. Harvard Medical School. Boston. Boulder, 2008. Revisit common genetic parameters - such as allele frequencies, genetic effects, dominance, variance components, etc.

1.14k views • 58 slides

Genetic principles for linkage and association analyses

Genetic principles for linkage and association analyses. Manuel Ferreira & Pak Sham. Boulder, 2009. Gene mapping. LOCALIZE and then IDENTIFY a locus that regulates a trait. Association analysis. Linkage analysis. Linkage:.

755 views • 58 slides

Biometrical genetics

Biometrical genetics. Manuel Ferreira Shaun Purcell Pak Sham. Boulder Introductory Course 2006. Outline. 1. Aim of this talk. 2. Genetic concepts. 3. Very basic statistical concepts. 4. Biometrical model. 1. Aim of this talk.

681 views • 55 slides

Biometrical genetics

Biometrical genetics. Pak C Sham The University of Hong Kong Manuel AR Ferreira Queensland Institute for Medical Research. 23 rd International Workshop on Methodology of Twin and Family Studies 2 nd March, 2010. A DE Model for twin data. 1 / 0.25. MZ / DZ. 1 / 0.5. E 1. D 1. A 1.

558 views • 53 slides

??? ????

??? ????. ?????? ????. ????. 1. ???? 2. ?????? 3. ???????? 4. ?? ???? ???? Approaching Cars. 1. ????. ??????? ?????????? ??? 1 ? ? p ??????? , ? 1- p ??????? ????? ? 1 =(Prob( s 1 = ?? ), Prob( s 1 = ?? ) = ( p , 1- p ) ??? 2 ? ? q ??????? , ? 1- q ???????

795 views • 41 slides

? 4h ?

???? ???????. ? 4h ?. ????????????? ???????. ??? ?????????????. ????????? ???? ??????????. ?? ?????????. ??? population ???????????????? ????????????????????????????????? ????? ? Mondelian population ??????????????????????

479 views • 30 slides

Population Genetics Learning Objectives

Population Genetics Learning Objectives Define a population, a species, microevolution and population genetics. What is the population gene pool and what is a fixed allele? Learn how to calculate the allelic frequencies in a population from the genotypic frequencies (same as lab exercise).

286 views • 28 slides

Measuring Evolution of Populations Hardy Weinberg

Measuring Evolution of Populations Hardy Weinberg. 5 Agents of evolutionary change. Mutation. Gene Flow. Non-random mating. Chemical Changes to DNA. Migration. Sexual Selection. Genetic Drift. Selection. Natural Selection Differential Survival. Small population.

240 views • 24 slides

Expected Value

Expected Value. Suppose it costs $2 to get a ticket from the parking ticket machine. Suppose if you are caught without a ticket, the fine is $20. Suppose that, on average, cars without tickets get caught one-quarter of the time.

350 views • 23 slides

PBG 650 Advanced Plant Breeding

PBG 650 Advanced Plant Breeding. Module 5: Quantitative Genetics Genetic variance: additive and dominance. Variance and Covariance - definition. The variance of a variable X is: V( X ) = E[( X i - ? X ) 2 ] = E( X i 2 ) - ? X 2 The covariance of variable X and variable Y is:

553 views • 19 slides

Measuring Evolution of Populations Hardy Weinberg

Measuring Evolution of Populations Hardy Weinberg. 5 Agents of evolutionary change. Mutation. Gene Flow. Non-random mating. Chemical Changes to DNA. Migration. Sexual Selection. Genetic Drift. Selection. Natural Selection Differential Survival. Small population.

451 views • 19 slides

Practical

Practical. H:ferreirabiometricsgene.exe. Practical. Aim. Visualize graphically how allele frequencies, genetic effects, dominance, etc, influence trait mean and variance. Ex1. a=0, d=0, p=0.4, Residual Variance = 0.04, Scale = 2. Vary a from 0 to 1. Ex2.

321 views • 16 slides

Topic 1.3.2

Square Roots. Topic 1.3.2. Topic 1.3.2. Square Roots. California Standard: 2.0: Students understand and use such operations as taking the opposite, finding the reciprocal, taking a root, and raising to a fractional power. They understand and use the rules of exponents.

311 views • 14 slides