This is an exciting and influential time for the field
of Statistics in science.  Technological
advances in genetic, genomic, and the other 'omic sciences
are providing large amounts of complex data that are presenting a number
of challenges for the biological community.  Many of these
challenges are deeply rooted statistical issues that involve
experimental design, replication, and multiple testing.
Using microarray technology as an example, important statistical
issues will be discussed with an eye on the current (e.g., gene
expression) and future uses of microarrays for marker
genotyping, testing differential methylation, and assessing
interactions between proteins and DNA (e.g., ChIP-chip).