Statistical and Applied Mathematical Sciences Institute
19 T. W. Alexander Drive
P.O. Box 14006
Research Triangle Park, NC 27709-4006
Tel: 919.685.9350 FAX: 919.685.9360
[email protected]

 

2004-05 Program on Genomes to Global Health:
Computational Biology of Infectious Diseases

 

Infectious disease remains a major cause of suffering and mortality among people in the developing world, and a constant threat worldwide. The advent of genome science and the continuing rapid growth of computational resources together herald an opportunity for the mathematical and statistical sciences to play a key role in the elucidation of pathogenesis and immunity and in the development of the next generation of therapies and global strategies. The program will encompass both genomic and population-level studies, including microbial and immunological genomics, vaccine design and proteomics, drug target identification, gene expression modeling and analysis, molecular evolution of host-microbe systems, drug resistance, epidemiology and public health, systems immunology, and microbial ecology.

To inquire about participation in the program as a fellow, go to Visiting & Employment Opportunities. To inquire about participation as a long-term visitor, contact the program leaders or write to [email protected].

Program Leaders: Thomas B. Kepler (Chair) and Denise Kirschner

Program Activities

Tutorials and Opening Workshop

September 19-22, 2004

Speaker Presentations

Schedule (pdf)

Speaker Abstracts (pdf)

Poster Abstracts (pdf)

Participant List (pdf)

 

Mid-Program Focused Workshops

Workshop on Modeling Infectious Disease

January 31-February 1, 2005

 

Closing Workshop

May 22-24, 2005

 

 

Working Groups

 

Program Courses

Fall 2004

Computational Immunology and Immunogenomics
Instructors: Thomas Kepler and Lindsay Cowell
Mondays, 4:30-7:00pm

 

Spring 2005

Mathematical Modeling of Infectious Diseases
Instructor: Alun Lloyd
Mondays, 4:30-7:00pm

The Biophysics of Cell Signaling
Instructor: Byron Goldstein
Thursdays, 4:30-7:00pm

 

 

Program Description (pdf file)

 

 

Program Poster (pdf file)

 

 

SAMSI Home Page

 

 

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