IMA Tutorial: Tools for Model and Data Integration in the Genome Sciences/Information Integration Technologies for Complex Systems, September 15-19, 2003

Probability and Statistics in Complex Systems: Genomics, Networks, and Financial Engineering, September 1, 2003 - June 30, 2004

Fall 2003

IMA Tutorial Week: September 15-19, 2003

Tools for Model and Data Integration in the Genome Sciences

Monday-Thursday, September 15-18, 2003

Michael A. Newton
Department of Biostatistics and Medical Informatics
University of Wisconsin-Madison
newton@stat.wisc.edu

Simon Tavaré
Program in Molecular and Computational Biology
University of Southern California
stavare@usc.edu
http://www-hto.usc.edu/people/Tavare.html

Robert Gentleman
Department of Biostatistics
Harvard University
rgentlem@jimmy.harvard.edu
http://biosun1.harvard.edu/~rgentlem/HTML/home.html

Information Integration Technologies for Complex Systems

Friday, September 19, 2003

Sallie Keller-McNulty
Group Leader for the Statistical Sciences Group
Los Alamos National Laboratory
sallie@lanl.gov
http://www.lanl.gov/orgs/d/d1/people/skeller.shtml

Alyson Gabbard Wilson
Statistical Sciences Group
Los Alamos National Laboratory
agw@lanl.gov
http://www.stat.lanl.gov/people/awilson.shtml

Schedule	Participants	Registration
Group Photo Slides Format

The first four days of the tutorial, Tools for Model and Data Integration in the Genome Sciences, will provide an introduction to molecular biology and molecular technology for mathematicians and statisticians. The aim is to give a broad overview of the problems being addressed in the post-genomic era, such as array technology in human disease, mass spectrometry for protein sequencing and high throughput variation detection, regulatory networks, signal detection and comparative genomics and proteomics. The final day, on Information Integration Technologies for Complex Systems, will develop, present, and discuss a framework for the integration of experience, models and information in the highly dynamic context of contemporary scientific discovery driven by vast amounts and rapidly changing acquired information.

On the evening of September 15 there will be a lecture by Leroy Hood aimed at the general public and entitled After the Human Genome Project: Systems Biology and Predictive, Preventive and Personalized Medicine.

KICKOFF TUTORIAL SCHEDULE

MONDAY, SEPTEMBER 15
All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.

8:30

Coffee and Registration

Reception Room EE/CS 3-176

9:15

Douglas N. Arnold, Scot Adams, and Organizers

Welcome and Introduction

9:30

Simon Tavaré
University of Southern California

Intro to Molecular Biology 1

Slides: ima1.pdf

10:20

Discussion

10:30

Coffee Break

Reception Room EE/CS 3-176

11:00

Robert Gentleman
Harvard University

Basic Introduction to R and Its Philosophy

Lecture 1 Slides: pdf

11:50

Discussion

12:00

Lunch Break

1:30

Arkady Khodursky
University of Minnesota

Microarrays: Biological, Technologicial and Analytical Issues

Slides: pdf

2:20

Discussion

2:30

Coffee Break

Reception Room EE/CS 3-176

3:00

Robert Gentleman
Harvard University

Basic Introduction to R and Its Philosophy

Lecture 2 Slides: pdf

3:50

Discussion

4:00

Group Photo click here Slides Format

4:10-5-30

IMA Tea and more

7:00-8:00 pm

IMA Public Lecture:
Leroy Hood
President, Institute for Systems Biology, Seattle, Washington

After the Human Genome Project: Systems Biology and Predictive, Preventive and Personalized Medicine

Smith Hall 100, 7-8 pm

TUESDAY, SEPTEMBER 16
All talks are in Lecture Hall EE/CS 3-180 unless otherwise noted.