Cancer Genome Anatomy Project (CGAP)
The NCI's Cancer Genome Anatomy Project sought to determine the gene expression profiles of normal, precancer, and cancer cells, leading eventually to improved detection, diagnosis, and treatment for the patient. Resources generated by the CGAP initiative are available to the broad cancer community. 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.
The CGAP Website
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.
Tissues
cDNA library information, methods, and EST-based gene expression analysis.
Pathways
Diagrams of biological pathways and protein complexes, with links to genetic resources for each known protein.
RNAi
RNA-interference constructs, targeted specifically against cancer relevant genes. New addition: Validated set of shRNAs.
Chromosomes
FISH-mapped BAC clones, SNP500Cancer, and the Mitelman database of chromosome aberrations.
SAGE Genie
Analysis of gene expression using long and short SAGE tag data for both human and mouse.
Tools
Direct access to all analytic and data mining tools developed for the project.
