Department of Information and Communications, Gwangju Institute of Science and Technology, Gwangju 500-712, Republic of Korea.
Comput Biol Med. 2010 Sep;40(9):781-5. doi: 10.1016/j.compbiomed.2010.07.006. Epub 2010 Aug 21.
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.
我们开发了一个基于网络的工具，用于合并阵列 CGH 拷贝数畸变数据和微阵列基因表达数据（CAM）。该工具分析来自多个样本的这两个数据集，以检测同时具有 DNA 拷贝数畸变（CNAs）和基因表达变化的基因。CAM 提供了几种用于识别 CNA 的统计方法，这些方法在多个样本中是一致的。然后，将鉴定出的 CNA 及其相关的基因表达变化沿着染色体可视化。因此，当有这两种类型的数据集时，CAM 是识别疾病相关基因的有用工具。为了说明 CAM 的各种分析输出，我们随后提供了来自七种癌症类型的十组示例数据。
