Hokamp Karsten, Roche Fiona M, Acab Michael, Rousseau Marc-Etienne, Kuo Byron, Goode David, Aeschliman Dana, Bryan Jenny, Babiuk Lorne A, Hancock Robert E W, Brinkman Fiona S L
Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W457-9. doi: 10.1093/nar/gkh446.
A number of microarray analysis software packages exist already; however, none combines the user-friendly features of a web-based interface with potential ability to analyse multiple arrays at once using flexible analysis steps. The ArrayPipe web server (freely available at www.pathogenomics.ca/arraypipe) allows the automated application of complex analyses to microarray data which can range from single slides to large data sets including replicates and dye-swaps. It handles output from most commonly used quantification software packages for dual-labelled arrays. Application features range from quality assessment of slides through various data visualizations to multi-step analyses including normalization, detection of differentially expressed genes, andcomparison and highlighting of gene lists. A highly customizable action set-up facilitates unrestricted arrangement of functions, which can be stored as action profiles. A unique combination of web-based and command-line functionality enables comfortable configuration of processes that can be repeatedly applied to large data sets in high throughput. The output consists of reports formatted as standard web pages and tab-delimited lists of calculated values that can be inserted into other analysis programs. Additional features, such as web-based spreadsheet functionality, auto-parallelization and password protection make this a powerful tool in microarray research for individuals and large groups alike.
目前已经存在许多微阵列分析软件包;然而,没有一个软件包能将基于网络界面的用户友好特性与使用灵活分析步骤一次性分析多个阵列的潜在能力结合起来。ArrayPipe网络服务器(可从www.pathogenomics.ca/arraypipe免费获取)允许对微阵列数据自动应用复杂分析,这些数据范围从单张玻片到包含重复样本和染料交换的大型数据集。它处理来自最常用的双标记阵列定量软件包的输出。应用功能包括从玻片质量评估到各种数据可视化,再到多步骤分析,包括标准化、差异表达基因检测以及基因列表比较和突出显示。高度可定制的操作设置便于对功能进行无限制排列,这些功能可以存储为操作配置文件。基于网络和命令行功能的独特组合,使得能够轻松配置可在高吞吐量下反复应用于大型数据集的流程。输出包括格式化为标准网页的报告以及可插入其他分析程序的制表符分隔的计算值列表。诸如基于网络的电子表格功能、自动并行化和密码保护等附加功能,使其成为个人和大型团队微阵列研究中的强大工具。