Strategies to explore functional genomics data sets in NCBI's GEO database.

Strategies to explore functional genomics data sets in NCBI's GEO database.
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DOI:
10.1007/978-1-61779-400-1_3
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发表时间:
2012
期刊:
Methods in molecular biology (Clifton, N.J.)
影响因子:
--
通讯作者:
Barrett, Tanya
Barrett, Tanya
中科院分区:
其他
文献类型:
--
作者:
Wilhite, Stephen E;Barrett, Tanya

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Gene Expression Omnibus (GEO)数据库是存储高通量功能基因组学数据集的主要存储库,这些数据集使用基于微阵列和基于序列的技术生成。向GEO提交数据集的主要是那些在需要免费提供原始数据以供审查和分析的期刊上发表研究结果的研究人员。除了作为这些数据的公共存档之外,GEO还提供了一套工具,允许用户识别、分析和可视化与他们的特定兴趣相关的数据。这些工具包括样本比较应用程序、基因表达谱图、数据集集群、基因组浏览器轨迹,以及使用户能够构建复杂查询的强大搜索引擎。
The Gene Expression Omnibus (GEO) database is a major repository that stores high-throughput functional genomics data sets that are generated using both microarray-based and sequence-based technologies. Data sets are submitted to GEO primarily by researchers who are publishing their results in journals that require original data to be made freely available for review and analysis. In addition to serving as a public archive for these data, GEO has a suite of tools that allow users to identify, analyze and visualize data relevant to their specific interests. These tools include sample comparison applications, gene expression profile charts, data set clusters, genome browser tracks, and a powerful search engine that enables users to construct complex queries.