Organized by Microarray Gene Expression Database Group (MGED) and Science magazine

Friday - Sunnday
14 - 16 February 2003
Denver, Colorado

Analyzing gene expression, gene interactions, and gene organization at a global level are forming part of the revolution in our understanding that is represented in functional genomics. This 2-day seminar will provide practical discussions for researchers entering the field as well as stimulating pictures of the future. The first day, building on the highly successful MGED-4 (www.mged.org) held at the 2002 AAAS Meeting, will be a combination of tutorials and talks under the heading Getting Into Microarrays: Everything You Need to Know. There will be discussions of experimental design, standardization, avoiding artifacts and the progress in data standardization and databases. Day two will focus on the future of functional genomics. Recent advances in understanding the involvement of RNAs in gene regualation and in building regulatory networks will be examined by leading researchers. The application of basic research in proteomics and in microarrays to clinical medicine is coming closer to reality and we will be discussing the latest findings in these and other areas.

Tutorials: All about Microarrays

-- Normalization
Cathy Ball, Stanford university and John Quackenbush, TIGR

-- MAGE-ML
Paul Spellman, University of California, Berkeley

Databases and Data Sharing

Barbara Jasny, Science magazine
Introduction

Alvis Brazma, EMBL
Establishing the Infrastructure for Data Sharing

John Quackenbush, TIGR
Making it Happen (Tools)

Sandine Dutoit, Stanford University
Statistical Methods and Software for the Analysis of DNA Microarray Data

Gavin Sherlock, Stanford University
An Historical View of Database Evolution

Frank Holstege, University Medical Center, Utrcht
Improved Use of Genome-Scale Data

Yoshio Tateno, DDBJ
Database Update

The Future of Functional Genomics I

Marvin Frazier, Department of Energy
From Genomes to Life

Satoro Miyano, Japanese Genome Center, University of Tokyo
Gene Networks: Inference, Modeling, and Simulation

E.M. Marcotte, University of Texas
The Proteomics World

Ken Buetow, National Cancer Institute
The Director’s Challenge for Cancer

Jonathan Pevsner, Johns Hopkins University
Brain Microarrays

Isaac (Zak) Kohane, Harvard Medical School
Comparing Different Data Sets: How Well do They Correlate

Gregory Stephanopoulos, MIT
Genomics, Microarrays, and Metabolic Engineering in a Rapidly Changing World

John Hogenesch, Novartis Research Foundation
Mouse and Human Comparisons

Eric Hoffman, Children's Hospital, DC
Getting the Meat Out of Array Data: Longitudinal Profiles of Human Muscle

Gary Schoolnik, Stanford University Medical School
Bacterial Pathogenicity

Tom Griffin, Institute for Systems Biology
Protein Profiling

Trey Ideker, Whitehead Institute
Systems Biology