Liva Stéphane, Hupé Philippe, Neuvial Pierre, Brito Isabel, Viara Eric, La Rosa Philippe, Barillot Emmanuel
Institut Curie, Service Bioinformatique 26 rue d'Ulm, 75248 Paris Cedex 05, France.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W477-81. doi: 10.1093/nar/gkl215.
Assessing variations in DNA copy number is crucial for understanding constitutional or somatic diseases, particularly cancers. The recently developed array-CGH (comparative genomic hybridization) technology allows this to be investigated at the genomic level. We report the availability of a web tool for analysing array-CGH data. CAPweb (CGH array Analysis Platform on the Web) is intended as a user-friendly tool enabling biologists to completely analyse CGH arrays from the raw data to the visualization and biological interpretation. The user typically performs the following bioinformatics steps of a CGH array project within CAPweb: the secure upload of the results of CGH array image analysis and of the array annotation (genomic position of the probes); first level analysis of each array, including automatic normalization of the data (for correcting experimental biases), breakpoint detection and status assignment (gain, loss or normal); validation or deletion of the analysis based on a summary report and quality criteria; visualization and biological analysis of the genomic profiles and results through a user-friendly interface. CAPweb is accessible at http://bioinfo.curie.fr/CAPweb.
评估DNA拷贝数的变化对于理解遗传性或体细胞疾病,尤其是癌症至关重要。最近开发的阵列比较基因组杂交(array-CGH)技术使得在基因组水平上进行此类研究成为可能。我们报告了一种用于分析阵列CGH数据的网络工具的可用性。CAPweb(网络上的CGH阵列分析平台)旨在成为一个用户友好的工具,使生物学家能够从原始数据到可视化及生物学解释,完整地分析CGH阵列。用户通常在CAPweb内执行CGH阵列项目的以下生物信息学步骤:安全上传CGH阵列图像分析结果和阵列注释(探针的基因组位置);对每个阵列进行一级分析,包括数据的自动归一化(用于校正实验偏差)、断点检测和状态分配(增益、缺失或正常);根据总结报告和质量标准验证或删除分析;通过用户友好界面进行基因组图谱和结果的可视化及生物学分析。可通过http://bioinfo.curie.fr/CAPweb访问CAPweb。