SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data
SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data
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DOI：
10.1093/nar/gkg014
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发表时间：
2003-01-01
影响因子：
14.9
通讯作者：
Alizadeh, AA
中科院分区：
文献类型：
--
作者：
Diehn, M;Sherlock, G;Alizadeh, AA
使用DNA微阵列等工具生成的功能基因组数据集数量的爆炸性增长，导致了对有助于解释大规模生物数据的资源的迫切需求。SOURCE是一个基于网络的数据库，汇集了来自广泛资源的信息，并以对基因组规模分析特别有用的方式提供这些信息。SOURCE的GeneReports包括别名、染色体位置、功能描述、GeneOntology注释、基因表达数据和外部数据库链接。我们策划已发布的微阵列基因表达数据集，并允许用户使用简单直观的界面快速识别各种组织和大量条件下的共调控基因集。SOURCE提供以基因和cDNA克隆为中心的页面内容，从而简化了使用cDNA微阵列生成的数据集的分析。SOURCE不断更新，包含人类、小鼠和大鼠基因的最新和最准确的信息。通过允许动态链接到单个基因或克隆报告，SOURCE便于浏览大型基因组数据集。最后，SOURCE的批处理接口允许一次快速提取数千个基因或克隆的数据，从而促进统计分析，例如评估基因簇内功能属性的富集。来源可在http://source.stanford.edu上获得。
The explosion in the number of functional genomic datasets generated with tools such as DNA microarrays has created a critical need for resources that facilitate the interpretation of large-scale biological data. SOURCE is a web-based database that brings together information from a broad range of resources, and provides it in manner particularly useful for genome-scale analyses. SOURCE's GeneReports include aliases, chromosomal location, functional descriptions, GeneOntology annotations, gene expression data, and links to external databases. We curate published microarray gene expression datasets and allow users to rapidly identify sets of co-regulated genes across a variety of tissues and a large number of conditions using a simple and intuitive interface. SOURCE provides content both in gene and cDNA clone-centric pages, and thus simplifies analysis of datasets generated using cDNA microarrays. SOURCE is continuously updated and contains the most recent and accurate information available for human, mouse, and rat genes. By allowing dynamic linking to individual gene or clone reports, SOURCE facilitates browsing of large genomic datasets. Finally, SOURCEs batch interface allows rapid extraction of data for thousands of genes or clones at once and thus facilitates statistical analyses such as assessing the enrichment of functional attributes within clusters of genes. SOURCE is available at http://source.stanford.edu.