Dupl'áková Nikoleta, Renák David, Hovanec Patrik, Honysová Barbora, Twell David, Honys David
Laboratory of Pollen Biology, Institute of Experimental Botany ASCR v.v.i., Rozvojová 263, Prague 6, Czech Republic.
BMC Plant Biol. 2007 Jul 23;7:39. doi: 10.1186/1471-2229-7-39.
Microarray technologies now belong to the standard functional genomics toolbox and have undergone massive development leading to increased genome coverage, accuracy and reliability. The number of experiments exploiting microarray technology has markedly increased in recent years. In parallel with the rapid accumulation of transcriptomic data, on-line analysis tools are being introduced to simplify their use. Global statistical data analysis methods contribute to the development of overall concepts about gene expression patterns and to query and compose working hypotheses. More recently, these applications are being supplemented with more specialized products offering visualization and specific data mining tools. We present a curated gene family-oriented gene expression database, Arabidopsis Gene Family Profiler (aGFP; http://agfp.ueb.cas.cz), which gives the user access to a large collection of normalised Affymetrix ATH1 microarray datasets. The database currently contains NASC Array and AtGenExpress transcriptomic datasets for various tissues at different developmental stages of wild type plants gathered from nearly 350 gene chips.
The Arabidopsis GFP database has been designed as an easy-to-use tool for users needing an easily accessible resource for expression data of single genes, pre-defined gene families or custom gene sets, with the further possibility of keyword search. Arabidopsis Gene Family Profiler presents a user-friendly web interface using both graphic and text output. Data are stored at the MySQL server and individual queries are created in PHP script. The most distinguishable features of Arabidopsis Gene Family Profiler database are: 1) the presentation of normalized datasets (Affymetrix MAS algorithm and calculation of model-based gene-expression values based on the Perfect Match-only model); 2) the choice between two different normalization algorithms (Affymetrix MAS4 or MAS5 algorithms); 3) an intuitive interface; 4) an interactive "virtual plant" visualizing the spatial and developmental expression profiles of both gene families and individual genes.
Arabidopsis GFP gives users the possibility to analyze current Arabidopsis developmental transcriptomic data starting with simple global queries that can be expanded and further refined to visualize comparative and highly selective gene expression profiles.
微阵列技术现已成为标准的功能基因组学工具,并经历了大规模发展,从而提高了基因组覆盖范围、准确性和可靠性。近年来,利用微阵列技术进行的实验数量显著增加。随着转录组数据的迅速积累,在线分析工具也不断推出,以简化其使用。全局统计数据分析方法有助于形成关于基因表达模式的整体概念,并用于查询和构建工作假设。最近,这些应用又得到了更专业产品的补充,这些产品提供可视化和特定的数据挖掘工具。我们展示了一个精心策划的面向基因家族的基因表达数据库——拟南芥基因家族分析器(aGFP;http://agfp.ueb.cas.cz),它为用户提供了大量标准化的Affymetrix ATH1微阵列数据集。该数据库目前包含从近350个基因芯片收集的野生型植物不同发育阶段各种组织的NASC Array和AtGenExpress转录组数据集。
拟南芥GFP数据库被设计为一个易于使用的工具,适用于需要轻松获取单个基因、预定义基因家族或定制基因集表达数据的用户,并且还可以进行关键词搜索。拟南芥基因家族分析器提供了一个用户友好的网络界面,同时使用图形和文本输出。数据存储在MySQL服务器中,单个查询通过PHP脚本创建。拟南芥基因家族分析器数据库最显著的特点是:1)展示标准化数据集(Affymetrix MAS算法以及基于仅完全匹配模型计算基于模型的基因表达值);2)可在两种不同的标准化算法(Affymetrix MAS4或MAS5算法)之间进行选择;3)直观的界面;4)一个交互式的“虚拟植物”,可直观显示基因家族和单个基因的空间和发育表达谱。
拟南芥GFP使用户能够从简单的全局查询开始分析当前拟南芥发育转录组数据,这些查询可以扩展并进一步细化,以可视化比较性和高度选择性的基因表达谱。