Functional Bioinformatics Group, National Center for Biotechnology (CNB-CSIC), Madrid, Spain.
Nucleic Acids Res. 2012 Jul;40(Web Server issue):W478-83. doi: 10.1093/nar/gks402. Epub 2012 May 9.
Since its first release in 2007, GeneCodis has become a valuable tool to functionally interpret results from experimental techniques in genomics. This web-based application integrates different sources of information to finding groups of genes with similar biological meaning. This process, known as enrichment analysis, is essential in the interpretation of high-throughput experiments. The frequent feedbacks and the natural evolution of genomics and bioinformatics have allowed the growth of the tool and the development of this third release. In this version, a special effort has been made to remove noisy and redundant output from the enrichment results with the inclusion of a recently reported algorithm that summarizes significantly enriched terms and generates functionally coherent modules of genes and terms. A new comparative analysis has been added to allow the differential analysis of gene sets. To expand the scope of the application, new sources of biological information have been included, such as genetic diseases, drugs-genes interactions and Pubmed information among others. Finally, the graphic section has been renewed with the inclusion of new interactive graphics and filtering options. The application is freely available at http://genecodis.cnb.csic.es.
自 2007 年首次发布以来,GeneCodis 已成为一种有价值的工具,可用于对基因组学实验技术的结果进行功能解释。这个基于网络的应用程序整合了不同的信息来源,以寻找具有相似生物学意义的基因群。这个过程被称为富集分析,对于解释高通量实验非常重要。频繁的反馈和基因组学与生物信息学的自然演变,使得该工具得以成长,并开发出了这个第三个版本。在这个版本中,特别努力从富集结果中去除嘈杂和冗余的输出,包括最近报告的一种算法,该算法可以总结显著富集的术语,并生成功能上一致的基因和术语模块。还添加了新的比较分析,以允许对基因集进行差异分析。为了扩大应用范围,增加了新的生物信息来源,如遗传疾病、药物-基因相互作用和 Pubmed 信息等。最后,图形部分也进行了更新,包括新的交互式图形和过滤选项。该应用程序可在 http://genecodis.cnb.csic.es 免费获得。