GOstat: find statistically overrepresented Gene Ontologies within a group of genes
GOstat: find statistically overrepresented Gene Ontologies within a group of genes
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DOI：
10.1093/bioinformatics/bth088
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发表时间：
2004-06-12
期刊：
影响因子：
5.8
通讯作者：
Speed, TP
中科院分区：
文献类型：
--
作者：
Beissbarth, T;Speed, TP
现代实验技术，例如DNA微阵列，结果通常会产生一长串基因，这些基因在分析过程中可能很有趣。为了从这类数据中获得生物学上的理解，有必要对该列表中所有基因的功能注释进行分析。基因本体（Gene-Ontology， GO）数据库为大量基因的功能标注和分析提供了有用的工具。在这里，我们介绍了一个工具，该工具利用这些信息来了解哪些注释是被分析的基因列表的典型注释。该程序自动从数据库中获取GO注释，并生成在分析的基因列表中被过度代表的注释的统计信息。这就产生了一个按其特异性排序的氧化石墨烯术语列表。
Modern experimental techniques, as for example DNA microarrays, as a result usually produce a long list of genes, which are potentially interesting in the analyzed process. In order to gain biological understanding from this type of data, it is necessary to analyze the functional annotations of all genes in this list. The Gene-Ontology (GO) database provides a useful tool to annotate and analyze the functions of a large number of genes. Here, we introduce a tool that utilizes this information to obtain an understanding of which annotations are typical for the analyzed list of genes. This program automatically obtains the GO annotations from a database and generates statistics of which annotations are overrepresented in the analyzed list of genes. This results in a list of GO terms sorted by their specificity.