Xu Qikai, Shaulsky Gad
Graduate Program in Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas, USADepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA.
Appl Bioinformatics. 2005;4(4):281-3. doi: 10.2165/00822942-200504040-00008.
Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software 'R' for analysing Gene Ontologytrade mark (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations.
GOAT is freely available from http://dictygenome.org/software/GOAT/ CONTACT: Gad Shaulsky (gadi@bcm.tmc.edu).
要理解高通量实验产生的基因列表的组成，需要对基因注释列表进行精细处理。在本文中，我们介绍了GOAT（基因本体分析工具），这是一种基于统计软件“R”的工具，用于分析基因列表中的基因本体商标（GO）术语富集情况。给定一个基因列表，GOAT会计算每个GO术语的富集情况和统计显著性，并生成显著富集术语的图形展示。GOAT适用于任何具有基因组规模GO注释的生物体，并允许轻松更新本体和注释。
可从http://dictygenome.org/software/GOAT/免费获取GOAT。
Gad Shaulsky（gadi@bcm.tmc.edu）。
