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CMAP 
The Cancer Molecular Analysis Project (CMAP) is an NCI-sponsored, web-based prototype application that provides information about molecular targets, molecular profiles, agents, pathways, and therapeutic clinical trials. The tool allows researchers to explore the relationships between specific instances of agents, trials, molecular targets, or molecular profiles. CMAP prototypes exchange data across scientific and clinical boundaries by integrating basic research information from many biological fields with the information from drug development and clinical trials. |
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REMBRANDT
The REMBRANDT project provides informatics support to molecularly characterize a large number of primary brain tumors and to correlate those data with extensive retrospective and prospective clinical data. It will help physicians give patients a more accurate prognosis and select treatments more likely to be effective in any individual tumor. |
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TCGA
The TCGA Pilot Project produces large volumes of detailed genomic data derived from human tumor specimens collected from patient populations, and also grants access to significant amounts of clinical information associated with these specimens. The information generated will be unique to each individual and, despite de-identification of data, there is a risk of individual re-identification by comparison of TCGA data with other databases |
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CGEMS
Cancer Genetics Markers of Susceptibility (CGEMS) is a three-year initiative of the National Cancer Institute that conducts genome-wide association studies (GWAS) with follow-up replication studies to identify common, inherited gene variations that either increase or decrease the risk for cancer. The CGEMS project has genotyped nearly 550,000 common genetic variants, known as single nucleotide polymorphisms (SNPs) in cases and controls from well-designed epidemiological studies |
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caIntegrator
caIntegrator is a novel translational informatics platform that allows researchers and bioinformaticians to access and analyze clinical and experimental data across multiple clinical trials and studies. The caIntegrator framework provides a mechanism for integrating and aggregating biomedical research data and provides access to a variety of data types (e.g. Immunohistochemistry (IHC), microarray-based gene expression, SNPs, clinical trials data etc.) in a cohesive fashion. Data Portals build on caIntegraor are
iSPY: National study to identify biomarkers predictive of response to breast cancer therapy.
EAGLE: Environmental And Genetic Lung cancer Etiology (EAGLE) is an interdisciplinary multi-center case-control study of lung cancer designed to explore the genetic determinants both of lung cancer and smoking.
TARGET: The objective of the TARGET project is to discover biomarkers for childhood cancer. The project will initially focus on acute lymphoblastic leukemia.
CSP: The goal of the Cancer Sequencing Project is to obtain a comprehensive description of the genetic basis of adenocarcinoma.
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caGWAS
Cancer Genome-Wide Association Studies (caGWAS) allows researchers to integrate, query, report, and analyze a variety of data types from multiple sources including microarray, genomic, immuno- histochemistry, imaging, and clinical data through a single application |
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caTRIP
caTRIP allows users to query across a number of caBIG data services, join on common data elements (CDEs), and view their results in a user-friendly interface. Having as its initial focus the enabling of outcomes analysis, caTRIP allows clinicians to query across data from existing patients with similar characteristics to find treatments that were administered with success |
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caB2B
caB2B is a caGrid client that permits bench scientists, translational researchers, and clinicians to leverage caBIGTM compatible data and analytical services through a graphical user interface. Its metadata-based query interface enables end users to search virtually any caGrid data service. |
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