Suppr超能文献

来源:一个功能注释、本体论和基因表达数据的统一基因组资源。

SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data.

作者信息

Diehn Maximilian, Sherlock Gavin, Binkley Gail, Jin Heng, Matese John C, Hernandez-Boussard Tina, Rees Christian A, Cherry J Michael, Botstein David, Brown Patrick O, Alizadeh Ash A

机构信息

Department of Biochemistry, Stanford University School of Medicine, Stanford, CA 94305, USA.

出版信息

Nucleic Acids Res. 2003 Jan 1;31(1):219-23. doi: 10.1093/nar/gkg014.

Abstract

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.

摘要

利用DNA微阵列等工具生成的功能基因组数据集数量激增,这使得人们迫切需要有助于解读大规模生物数据的资源。SOURCE是一个基于网络的数据库,它汇集了来自广泛资源的信息,并以特别有助于基因组规模分析的方式提供这些信息。SOURCE的基因报告包括别名、染色体定位、功能描述、基因本体注释、基因表达数据以及指向外部数据库的链接。我们精心整理已发表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,快速识别在各种组织和大量条件下共同调控的基因集。SOURCE在以基因和cDNA克隆为中心的页面中都提供了相关内容,从而简化了对使用cDNA微阵列生成的数据集的分析。SOURCE会持续更新,包含有关人类、小鼠和大鼠基因的最新、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的批量界面允许一次性快速提取数千个基因或克隆的数据,从而便于进行统计分析,例如评估基因簇内功能属性的富集情况。可通过http://source.stanford.edu访问SOURCE。

相似文献

引用本文的文献

7
Protein Bioinformatics Databases and Resources.蛋白质生物信息学数据库与资源
Methods Mol Biol. 2017;1558:3-39. doi: 10.1007/978-1-4939-6783-4_1.
9
Transcriptional Perturbations in Graft Rejection.移植排斥反应中的转录扰动
Transplantation. 2015 Sep;99(9):1882-93. doi: 10.1097/TP.0000000000000809.

本文引用的文献

4
Large-scale analysis of the human and mouse transcriptomes.人类和小鼠转录组的大规模分析。
Proc Natl Acad Sci U S A. 2002 Apr 2;99(7):4465-70. doi: 10.1073/pnas.012025199. Epub 2002 Mar 19.
5
The HUGO Gene Nomenclature Committee (HGNC).人类基因组组织基因命名委员会(HGNC)。
Hum Genet. 2001 Dec;109(6):678-80. doi: 10.1007/s00439-001-0615-0. Epub 2001 Oct 24.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验