CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data
CGHAnalyzer: a stand-alone software package for cancer genome analysis using array-based DNA copy number data
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DOI：
10.1093/bioinformatics/bti500
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发表时间：
2005-08-01
期刊：
影响因子：
5.8
通讯作者：
Weber, BL
中科院分区：
文献类型：
--
作者：
Margolin, AA;Greshock, J;Weber, BL
本概要提供了基于阵列的比较基因组杂交数据显示，抽象和分析的概述，使用CGHAnalyzer，一个专门为此目的设计的软件套件。CGHAnalyzer可用于同时从多个平台加载拷贝数数据，查询和描述大型异构数据集，并导出结果。此外，CGHAnalyzer还采用了一系列算法进行微阵列分析，包括分层聚类和类区分。可用性：CGHAnalyzer及其附带的手册、文档和样本数据可在http://acgh.afcri.upenn.edu下载。这是一个基于java的应用程序，构建在TIGR MeV框架中，可以在Microsoft Windows、Macintosh OSX和各种基于unix的平台上运行。它需要安装免费的Java Runtime Environment 1.4.1（或更新版本）（http://www.java.sun.com）.Contact: weberb@mail.med.upenn.edu)
This synopsis provides an overview of array-based comparative genomic hybridization data display, abstraction and analysis using CGHAnalyzer, a software suite, designed specifically for this purpose. CGHAnalyzer can be used to simultaneously load copy number data from multiple platforms, query and describe large, heterogeneous datasets and export results. Additionally, CGHAnalyzer employs a host of algorithms for microarray analysis that include hierarchical clustering and class differentiation.Availability: CGHAnalyzer, the accompanying manual, documentation and sample data are available for download at http://acgh.afcri.upenn.edu. This is a Java-based application built in the framework of the TIGR MeV that can run on Microsoft Windows, Macintosh OSX and a variety of Unix-based platforms. It requires the installation of the free Java Runtime Environment 1.4.1 (or more recent) (http://www.java.sun.com).Contact: weberb@mail.med.upenn.edu