New caBIG® Knowledge Centers Serve as Hub for Growing Community
As an expanding number of institutions across the biomedical community deploy and begin using caBIG® tools and resources, the need for consistent access to accurate, up-to-date information is growing dramatically.
To accommodate the community’s needs, the National Cancer Institute Center for Biomedical Informatics and Information Technology (NCICBIIT) recently launched six caBIG® Knowledge Centers designed to promote knowledge exchange regarding the use and development of interoperable biomedical tools, standards, and infrastructure.
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New Web Portal Enables Next-Generation Cancer Research
The Cancer Molecular Analysis Portal launches with GBM data from The Cancer Genome Atlas Network
With more than 1,400,000 cancer diagnoses in the United States in 2007, the need to diagnose, treat, understand, and prevent cancer is greater than ever. Innovative biomedical technologies are helping researchers to learn more about the molecular basis of cancer at a faster rate than ever before, and researchers are now faced with the challenge of working with massive, often disparate data sets to drive innovation. This summer the National Cancer Institute (NCI) unveiled the Cancer Molecular Analysis (CMA) portal, a new online resource that enables collaboration between the broad scientific and medical communities to accelerate discoveries.
The CMA portal provides online access to large, disparate data sets and to the tools required to analyze the data. A single interface allows researchers to integrate, visualize, and explore clinical and genomic characterization data from translational research studies.
“In this era of molecular medicine there is great potential to connect scientific discovery, clinical research, and clinical care into a seamless continuum,” said Dr. Ken Buetow, associate director for Bioinformatics and Information Technology at the National Cancer Institute (NCI). “The CMA portal is a leading example of a collaborative, open-development resource that is expected to save researchers time and energy.”
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