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Using caIntegrator, researchers can execute, save and share queries to identify and collect many types of data, combining clinical information with genetic and genomic data to enable multidimensional analysis.

caintegrator caIntegrator uses caGrid analytical services such as GenePattern and BioConductor to perform analysis on the integrated study data, including clinical survival data. caIntegrator leverages the Cancer Data Standards Registry and Repository (caDSR) to map experimental data to well-defined datatypes and uses caGrid and Java client APIs to access data from caBIG® applications such as caArray and the National Biomedical Imaging Archive (NBIA). caIntegrator is also integrated with caBIO to perform queries on genes and pathways. caIntegrator has visualization capabilities for copyNumber and Expression data. It integrates well with Heatmap viewer and Integrative Genomics Viewer (IGV).

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