Training areas typically involve the collection and interpretation of "high-throughput" data and development of quantitative models and methods. Examples include automated annotation of sequence data; study of genetic variation; whole genome studies of defined phenotypes in development, behavior, complex diseases or aging; analysis of protein structure and function; and use of large scale RNA and protein expression for modeling biological processes. We emphasize strong statistical and computational component to proposed research and training curriculum. Training activities of the grant include participation in the weekly Genomics and Computational Biology "chalk talks", the Penn Bioinformatics Forum seminar series, and retreats.

• Attend and present at trainee meetings
• Attend a present a poster at the NHGRI annual meeting
• Attend and present at the weekly GCB chalk talks
• Attend and present a poster at the GCB Retreat