The Computational and Systems Biology Group develops statistical, mathematical and computational methodology for the analysis of genomic, functional genomic, and other biological data in order to identify cancer associated genes, elucidate their functions, determine the steps of tumor development, identify molecular targets and develop genome based approaches to the prevention, detection, diagnosis and treatment of cancer. The staff also train post-doctoral research fellows in statistical genomics, computational and systems biology, and bioinformatics. The group collaborates with intramural investigators in its research. Major research areas include:

• Development of statistical methods for microarray analysis
• Development of bioinformatic tools for microarray analysis
• Development of statistical methods and bioinformatic systems for the study of T-cell epitopes
• Development of bioinformatic methods for vaccine design