Bioinformatics
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We develop a web-based tool for Combining Array CGH copy number aberration data and Microarray gene expression data (CAM). This tool analyzes these two data sets from multiple samples to detect genes having both DNA copy number aberrations (CNAs) and gene expression changes. CAM provides several statistical methods for identifying CNAs, which are consistent across multiple samples. Identified CNAs and their correlated gene expression changes are then visualized along the chromosomes. As a result, CAM is a useful tool for identifying disease related genes when these two types of data sets are available. To illustrate the various analysis outputs of CAM, we subsequently provide ten sets of example data from seven cancer types.