Data management and analysis for gene expression arrays
Data management and analysis for gene expression arrays
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DOI：
10.1038/1670
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发表时间：
1998-09-01
期刊：
影响因子：
30.8
通讯作者：
Boguski, MS
中科院分区：
文献类型：
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作者：
Ermolaeva, O;Rastogi, M;Boguski, MS
微阵列技术使得在一次实验中同时研究数千个基因的表达成为可能。我们已经开发了一个信息系统，ArrayDB，管理和分析大规模的表达数据。基础关系数据库的设计是为了在数据输入的性质和结构方面以及在通过网络浏览器界面生成标准或定制报告方面具有灵活性。ArrayDB为数据检索和分析工具提供了多种选项，这些工具应该有助于复杂杂交结果的解释。ArrayDB存储、检索和分析能力的样本是可用的（www.nhgri.nih.gov/DIR/LCG/15K/HTML/），沿着关于用于制造几种广泛使用的微阵列的一组大约15，000个基因的信息。存储在ArrayDB中的信息用于通过将阵列靶序列与NCBl的RMBZ检索系统、UniGene和KEGG途径视图连接来提供整合的基因表达报告。整合外部信息资源对于解释大规模基因表达数据中的内在模式和关系至关重要。
Microarray technology makes it possible to simultaneously study the expression of thousands of genes during a single experiment. We have developed an information system, ArrayDB, to manage and analyse large-scale expression data. The underlying relational database was designed to allow flexibility in the nature and structure of data input and also in the generation of standard or customized reports through a web-browser interface. ArrayDB provides varied options for data retrieval and analysis tools that should facilitate the interpretation of complex hybridization results. A sampling of ArrayDB storage, retrieval and analysis capabilities is available (www.nhgri.nih.gov/DIR/LCG/15K/HTML/), along with information on a set of approximately 15,000 genes used to fabricate several widely used microarrays. Information stored in ArrayDB is used to provide integrated gene expression reports by linking array target sequences with NCBl's Entrez retrieval system, UniGene and KEGG pathway views. The integration of externa I information resources is essential in interpreting intrinsic patterns and relationships in large-scale gene expression data.