DIMACS Workshop on Data Mining Techniques in Bioinformatics

October 30 - 31, 2003
DIMACS Center, CoRE Building, Rutgers University, Piscataway, NJ

Organizers:
Mona Singh, Princeton University, mona@cs.princeton.edu
Mark Gerstein, Yale University, Mark.Gerstein@yale.edu
Presented under the auspices of the Special Focus on Data Analysis and Mining and the Special Focus on Computational Molecular Biology.

Workshop Program:

Thursday, October 30, 2003

 9:00 -  9:50  Breakfast and Registration

 9:50 - 10:00  Opening Remarks
               Fred Roberts, Director of DIMACS

10:00 - 10:45  DIMACS - Celera Genomics/Applied Biosystems Graduate Student Award
                  Presentation and Lecture
               Computational discovery of gene modules and regulatory networks
               Ziv Bar-Joseph, MIT

10:45 - 11:30  Global search for genetic associations by pattern discovery: 
               Methods and examples
               Andrea Califano, Columbia University

11:30 - 12:15  Predicting patterns of transcriptional regulation in early fly
               embryos
               Eric Siggia, Rockefeller University

12:15 -  1:45  Lunch

 1:45 -  2:30  Large-scale, high-confidence predictions of bZIP protein-protein 
               interactions
               Mona Singh, Princeton University  

 2:30 -  3:15  On truth, pathways and interactions
               Andrey Rzhetsky, Columbia University

 3:15 -  3:45  Break

 3:45 -  4:30  Computational Proteomics: Predicting Protein Function on a Genome-scale
               Mark Gerstein, Yale University

 4:30 -  5:15  Evolution of Multi-Domain Proteins
               Sarah Teichmann, University of Cambridge

 5:15          Wine and Cheese
   
Friday, October 31, 2003

 9:30 -  9:50  Breakfast and Registration

 9:50 - 10:00  Opening Remarks

10:00 - 10:45  Intrinsic disorder and protein function
               Keith Dunker, Indiana University

10:45 - 11:30  Topologic organization and functional utilization of cellular networks
               Zoltan Oltvai, Northwestern University 

11:30 - 12:15  Functional profiling of cancers using gene expression data
               Gustavo Stolovitzky, IBM 

12:15 -  1:45  Lunch

 1:45 -  2:30  Integrating heterogeneous data sources for gene function prediction
               Olga Troyanskaya, Princeton University                             

 2:30 -  3:15  PIR Integrated bioinformatics system for functional genomics and
               proteomics
               Cathy Wu, Georgetown University 

 3:15 -  4:00  Integrative modeling of microarray data for mRNA expression and 
               transcription factor occupancy
               Harmen Bussemaker, Columbia University 


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Document last modified on October 29, 2003.