Statistical Applications in Biology and Genetics

Slides:



Advertisements
Similar presentations
1 Inference of Regulatory Networks via Systems Genetics Ina Hoeschele.
Advertisements

BioInformatics (3).
Genetic research designs in the real world Vishwajit L Nimgaonkar MD, PhD University of Pittsburgh
Integrating Genomes D. R. Zerbino, B. Paten, D. Haussler Science 336, 179 (2012) Teacher: Professor Chao, Kun-Mao Speaker: Ho, Bin-Shenq June 4, 2012.
Biology and Bioinformatics Gabor T. Marth Department of Biology, Boston College BI820 – Seminar in Quantitative and Computational Problems.
KEY CONCEPT A combination of methods is used to study human genetics.
Introduction to Linkage Analysis March Stages of Genetic Mapping Are there genes influencing this trait? Epidemiological studies Where are those.
CS 374: Relating the Genetic Code to Gene Expression Sandeep Chinchali.
STAT115 STAT215 BIO512 BIST298 Introduction to Computational Biology and Bioinformatics Spring 2015 Xiaole Shirley Liu Please Fill Out Student Sign In.
Office hours Wednesday 3-4pm 304A Stanley Hall Review session 5pm Thursday, Dec. 11 GPB100.
Problems at the interface between statistics, biomathematics and bioinformatics Chris Glasbey Biomathematics & Statistics Scotland.
Haplotype Discovery and Modeling. Identification of genes Identify the Phenotype MapClone.
Statistical Bioinformatics QTL mapping Analysis of DNA sequence alignments Postgenomic data integration Systems biology.
Linkage and LOD score Egmond, 2006 Manuel AR Ferreira Massachusetts General Hospital Harvard Medical School Boston.
DNA, Gene, and Genome Translating Machinery for Genetic Information.
The medical relevance of genome variability Gabor T. Marth, D.Sc. Department of Biology, Boston College
Biotechnology pp WHAT IS IT?  Biotechnology : the application of technology to better use DNA and biology.
The Complexities of Data Analysis in Human Genetics Marylyn DeRiggi Ritchie, Ph.D. Center for Human Genetics Research Vanderbilt University Nashville,
Gene Hunting: Linkage and Association
Linkage Studies (1a) Linkage Studies (1b) Power of 595 independent sib pairs (Koller et al. 2000) and 53 pedigrees composed of 630 individuals (Deng.
MEME homework: probability of finding GAGTCA at a given position in the yeast genome, based on a background model of A = 0.3, T = 0.3, G = 0.2, C = 0.2.
Algorithms for Biological Sequence Analysis Kun-Mao Chao ( 趙坤茂 ) Department of Computer Science and Information Engineering National Taiwan University,
Class 23, 2001 CBCl/AI MIT Bioinformatics Applications and Feature Selection for SVMs S. Mukherjee.
Microarray analysis Quantitation of Gene Expression Expression Data to Networks BIO520 BioinformaticsJim Lund Reading: Ch 16.
Clones and the Human Genome Project Unit 11 Lesson 3.
Computational Biology and Genomics at Boston College Biology Gabor T. Marth Department of Biology, Boston College
7.4 Human Genetics and Pedigrees TEKS 6F, 6H The student is expected to: 6F predict possible outcomes of various genetic combinations such as monohybrid.
STAT115 STAT215 BIO512 BIST298 Introduction to Computational Biology and Bioinformatics Spring 2016 Xiaole Shirley Liu.
Chapter 14: Human Heredity
Bioinformatics Overview
EQTLs.
Professor Brian S. Yandell
Genomics A Systematic Study of the Locations, Functions and Interactions of Many Genes at Once.
Areas of Research Xia Jiang Associate Professor of
Gene Expression Analysis
Chapter Seven: Extending Mendelian Genetics
Gene expression.
KEY CONCEPT A combination of methods is used to study human genetics.
Microarray Technology and Applications
Linkage Studies (1a).
Gene Hunting: Design and statistics
Genetics I. Introduction A. History
Inferring Genetic Architecture of Complex Biological Processes BioPharmaceutical Technology Center Institute (BTCI) Brian S. Yandell University of Wisconsin-Madison.
Overview Expression data basics Introduction Biological network data
KEY CONCEPT A combination of methods is used to study human genetics.
Gene Expression Analysis and Proteins
RECOMB 2001 The Fifth Annual International Conference On Computational Molecular Biology Montreal, Canada.
Linking Genetic Variation to Important Phenotypes
Genome organization and Bioinformatics
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT A combination of methods is used to study human genetics.
DNA Chip Data Interpretation Tools: Genmapp & Dragon View
THE NEW MEDICINE AND BIOLOGY Will they be Information Sciences?
A Brief History What is molecular biology?
Computational Biology Projects
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Schedule for the Afternoon
Inferring Genetic Architecture of Complex Biological Processes Brian S
KEY CONCEPT A combination of methods is used to study human genetics.
The Study of Biological Information
Human Genetics and Pedigrees
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
HER-2/neu mRNA detection by gene expression profiling
KEY CONCEPT A combination of methods is used to study human genetics.
KEY CONCEPT A combination of methods is used to study human genetics.
KEY CONCEPT A combination of methods is used to study human genetics.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT A combination of methods is used to study human genetics.
Presentation transcript:

Statistical Applications in Biology and Genetics Tian Zheng Wednesday, March 12, 2003

Outline Biological Background Overview of quantitative research area related to genetics Sample project I: Bayesian Regression Analysis with application to Microarray studies Sample project II: BHTA algorithm for complex traits

Chromosomes and genes Video from the Human Genome Project You can also find links to background readings at : http://www.stat.columbia.edu/~tzheng/research/statgen.html Celebrating the 50th Anniversary of the discovery of DNA double-helix structure.

Biology: Science of 21st century Everybody talks about it!

Computational Biology (1) Sequence to function Sequence alignment using wet-lab results Model aligned sequences Predict function to sequence with unknown function using model fitted Sequence to structure of proteins Significance: sequence  structure  function

Computational Biology (2) Motif detection Homology detection

Bioinformatics/Genomics Gene expression analysis (using DNA chips or Microarray) Protein regulatory network inference Pedigree inference Phylogeny inference

Genetic Epidemiology Linkage mapping Association mapping Mapping for complex traits: quantitative traits, epistasis etc.

Linkage and Association Gene, alleles; Haplotype Transmission Cross-over and recombination Linkage

Sample Project: Bayesian Regression Analysis Mike West et al (2000) Bayesian Regression Analysis in the “large p, small n” Paradigm with application in DNA Microarray studies.

What is a Microarray/DNA chip How Chips Work?

Oligonucleotide Arrays Current “Golden Standard”!

Affymetrix GeneChip System

An Affymetrix GeneChip

                                                                                                                                       

Gene Expression Data n experiments (patients, types of cell lines, types of cancer tissues, etc) p genes on one array Subtracted and normalized gene expression data is a n by p matrix

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2024 SlidePlayer.com. Inc. All rights reserved.