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The goal of the NCI's Cancer Genome Anatomy Project is to determine the gene expression profiles of normal, precancer, and cancer cells, leading eventually to improved detection, diagnosis, and treatment for the patient. By collaborating with scientists worldwide, such as the Ludwig Institute for Cancer Research and Lund University, CGAP seeks to increase its scientific expertise and expand its databases for the benefit of all cancer researchers.

The CGAP Web Site

Interconnected modules provide access to all CGAP data, bioinformatic analysis tools, and biological resources allowing the user to find "in silico" answers to biological questions in a fraction of the time it once took in the laboratory.

	Genes Gene information, clone resources, SNP500Cancer, GAI, and transcriptome analysis		Chromosomes FISH-mapped BAC clones, SNP500Cancer, and the Mitelman database of chromosome aberrations
	Tissues cDNA library information, methods, and EST-based gene expression analysis		SAGE Genie Analysis of gene expression using long and short SAGE tag data for both human and mouse
	Pathways Diagrams of biological pathways and protein complexes, with links to genetic resources for each known protein		Tools Direct access to all analytic and data mining tools developed for the project
	RNAi RNA-interference constructs, targeted specifically against cancer relevant genes.

New Initiatives

• The NCI supports the Initiative for Chemical Genetics (ICG), which is developing a systematic approach for harnessing synthetic chemistry to discover molecular mechanisms in basic cell biology. This approach aims to emulate the success of classical genetics as a discovery platform using chemicals that alter the function of specific proteins in place of mutations. These results will be incorporated into the Gene Info pages of the relevant genes.
• The OCG/NCI and NHGRI recently convened a workshop to assess the value of a project to catalogue all of the DNA sequence changes that occur in tumorigenesis. A summary of the workshop and its recommendations are available at Exploring Cancer through Genomic Sequence Comparisons. Follow-up information will be posted on the CGAP web site as it becomes available.