Cavalieri Duccio, Castagnini Cinzia, Toti Simona, Maciag Karolina, Kelder Thomas, Gambineri Luca, Angioli Samuele, Dolara Piero
Department of Preclinical and Clinical Pharmacology, Department of Statistics, University of Florence, Florence, Italy.
Bioinformatics. 2007 Oct 1;23(19):2631-2. doi: 10.1093/bioinformatics/btm333. Epub 2007 Jun 28.
Eu.Gene Analyzer is an easy-to-use, stand-alone application that allows rapid and powerful microarray data analysis in the context of biological pathways. Its intuitive graphical user interface makes it an easy and flexible tool, even for the first-time user. Eu.Gene supports a variety of array platforms, organisms and pathway ontologies, transparently deals with multiple nomenclature systems and seamlessly integrates data from different sources. Two different statistical methods, the Fisher Exact Test and the Gene Set Enrichment Analysis (GSEA), are implemented to identify biological pathways transcriptionally affected under experimental conditions. A suite of tools is offered to define, visualize and share custom non-redundant pathway sets. In conclusion, Eu.Gene Analyzer is a new software application that takes advantage of information from multiple pathway databases to build a comprehensive interpretation of experimental results in a simple, intuitive environment.
Eu.Gene分析器是一款易于使用的独立应用程序,可在生物途径的背景下进行快速且强大的微阵列数据分析。其直观的图形用户界面使其成为一个简单灵活的工具,即使对于初次使用者也是如此。Eu.Gene支持多种阵列平台、生物体和途径本体,能透明地处理多种命名系统,并无缝整合来自不同来源的数据。它采用了两种不同的统计方法,即Fisher精确检验和基因集富集分析(GSEA),以识别在实验条件下转录受影响的生物途径。还提供了一套工具来定义、可视化和共享自定义的非冗余途径集。总之,Eu.Gene分析器是一款新的软件应用程序,它利用来自多个途径数据库的信息,在简单直观的环境中对实验结果进行全面解读。