GExMap: An Intuitive Visual Tool to Detect and Analyze Genomic Distribution in Microarray-generated Lists of Differentially Expressed Genes
GExMap: An Intuitive Visual Tool to Detect and Analyze Genomic Distribution in Microarray-generated Lists of Differentially Expressed Genes
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GExMap：一种直观的可视化工具，用于检测和分析微阵列生成的差异表达基因列表中的基因组分布
DOI：
10.4172/jpb.1000060
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发表时间：
2009
期刊：
影响因子：
--
通讯作者：
Gilles Chiocchia
中科院分区：
文献类型：
--
作者：
Nicolas Cagnard;Carlo Lucchesi;Gilles Chiocchia
DNA 微阵列等高通量技术会产生大量难以解释的数据。生物学家需要易于使用的工具来分析它们并探索新的科学假设。我们提出了一种可视化数据挖掘工具来提取隐藏在差异表达研究生成的基因列表中的新型有用基因组信息。我们将基因列表中观察到的基因组分布与根据公共基因组数据库估计的预期分布进行比较。研究算法和统计测试给出了可靠且最佳的结果。 GExMap 有助于识别富含基因的基因组区域，这些基因的差异表达对目标疾病具有潜在意义。该软件可以免费使用20并且可以轻松定制。由于来源经常更新，因此它提供了随时更新的工具。 GExMap 可用于任何商业和公开的微阵列平台。此外，GExMap 通过显示每个基因本体的有序列表来帮助解释。目前，GExMap不仅可以用于分析智人基因组的基因列表，还可以用于分析小家鼠和褐家鼠基因组的基因列表。
High- throughput technologies, as DNA microarrays, generate a huge amount of data, which are difficult to interpret. Biologists require easy-to-use tools to analyze them and explore new scientific hypotheses. We propose a visual data mining tool to extract a new type of useful genomic information buried in gene lists generated by differential expression studies. We compare the genomic distribution that is observed within the gene list with the expected distribution, which is estimated from public genomic databases. An algorithm of research and a statistical test give reliable and optimal results. GExMap helps identify genomic regions that are enriched in genes whose differential expression is of potential interest for target diseases. This software is freely available20 and easily customized. Since sources are frequently updated, it offers tools for updates at any moment. GExMap is usable by any commercially and publicly available microarray platform. Furthermore, GExMap helps in interpretation by showing an ordered list for each gene ontology. Presently, GExMap can also be used to analyse gene lists not only from the Homo sapiens genome but also the Mus musculus and the Rattus norvegicus genomes.
影响因子：
20.3
作者：
Hans, CP;Weisenburger, DD;Chan, WC
通讯作者：
Chan, WC