Carl F. Schaefer

TL;DR: The status of this effort to develop resources based on gene expression, polymorphism identification and chromosome aberrations is described, and a variety of analytical tools designed to facilitate in silico analysis of these datasets are described.

TL;DR: Quantitative proteomics is capable of providing a quantitative view of thousands of proteins in mammalian cells within a defined set of experiments and is demonstrated to be able to corroborate changes in abundance measured by cICAT with those detectable in traditionally prepared cell lysate.

TL;DR: The PathOlogist can be used to establish pathway signatures that robustly differentiate breast cancer cell lines based on response to treatment, and provides a straightforward means to identify the functional processes that are altered in disease.

TL;DR: An International Database of Cancer Gene Expression is assembled that contains six million gene tags that reflect the gene expression profiles in a wide variety of cancerous tissues and their normal counterparts.

TL;DR: The progress CGAP has made toward building a robust database and designing analysis tools is described, which is to seamlessly integrate molecular and clinical data.