on Statistical Genomics
Fields Institute, September 3-5, 2003
in many areas of Genomics have become the most exciting story in from
the biological, life, and health sciences in recent years, and have
captured the imagination of the public at large. One of the most interesting
technological breakthroughs in genomics has been the miniaturization
of classical experimentation techniques in molecular biology. This has
led to the ability to conduct massively parallel experiments on the
scale of the whole genome. The most widely known examples of such technology
are various kinds of microarrays or DNA chips, which can now measure
the expression activity of most of the predicted genes in humans. There
exist similar high-throughput technologies to detect Single Nucleotide
Polymorphisms (SNP chips), protein abundance (proteome chips), RNA activity,
protein-protein interaction systems, and others.
first time in history, biologists are facing huge volumes of noisy data.
The challenge of analyzing this data has been described as the biggest
bottleneck in modern biology. Huge dimensionality and small sample size
creates a challenge throughout an experiment, from the design, visualization
and exploratory phases, to the analysis itself. This project will coordinate
a variety of such studies, will allow clinical researchers and statisticians
to bring both sets of expertise to bear on these problems, and will
train the highly qualified personnel demanded by statistical genomics.