Rainer Johannes, Sanchez-Cabo Fatima, Stocker Gernot, Sturn Alexander, Trajanoski Zlatko
Institute for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W498-503. doi: 10.1093/nar/gkl038.
CARMAweb (Comprehensive R-based Microarray Analysis web service) is a web application designed for the analysis of microarray data. CARMAweb performs data preprocessing (background correction, quality control and normalization), detection of differentially expressed genes, cluster analysis, dimension reduction and visualization, classification, and Gene Ontology-term analysis. This web application accepts raw data from a variety of imaging software tools for the most widely used microarray platforms: Affymetrix GeneChips, spotted two-color microarrays and Applied Biosystems (ABI) microarrays. R and packages from the Bioconductor project are used as an analytical engine in combination with the R function Sweave, which allows automatic generation of analysis reports. These report files contain all R commands used to perform the analysis and guarantee therefore a maximum transparency and reproducibility for each analysis. The web application is implemented in Java based on the latest J2EE (Java 2 Enterprise Edition) software technology. CARMAweb is freely available at https://carmaweb.genome.tugraz.at.
CARMAweb（基于R的综合微阵列分析网络服务）是一个用于微阵列数据分析的网络应用程序。CARMAweb执行数据预处理（背景校正、质量控制和标准化）、差异表达基因检测、聚类分析、降维和可视化、分类以及基因本体术语分析。这个网络应用程序接受来自各种成像软件工具的原始数据，用于最广泛使用的微阵列平台：Affymetrix基因芯片、点阵双色微阵列和应用生物系统公司（ABI）微阵列。来自Bioconductor项目的R和软件包与R函数Sweave结合用作分析引擎，Sweave允许自动生成分析报告。这些报告文件包含用于执行分析的所有R命令，因此保证了每次分析的最大透明度和可重复性。该网络应用程序基于最新的J2EE（Java 2企业版）软件技术用Java实现。CARMAweb可在https://carmaweb.genome.tugraz.at免费获取。
