元数据
下载
生物
原始数据
互联网
资源(消歧)
基因组学
多样性(控制论)
功能基因组学
万维网
计算生物学
数据科学
计算机科学
情报检索
生物信息学
基因组
基因
遗传学
人工智能
程序设计语言
计算机网络
作者
Tanya Barrett,Stephen E. Wilhite,Pierre Ledoux,Carlos Evangelista,Irene F. Kim,Maxim Tomashevsky,Kimberly A. Marshall,Katherine Phillippy,Patti M. Sherman,Michelle Holko,Andrey Yefanov,Hyeseung Lee,Naigong Zhang,C. Robertson,Nadezhda Serova,Sean Davis,Alexandra Soboleva
摘要
The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download in a variety of formats. GEO also provides several web-based tools and strategies to assist users to query, analyse and visualize data. This article reports current status and recent database developments, including the release of GEO2R, an R-based web application that helps users analyse GEO data.
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