Data management and analysis for gene expression arrays

作     者：Ermolaeva, O Rastogi, M Pruitt, KD Schuler, GD Bittner, ML Chen, YD Simon, R Meltzer, P Trent, JM Boguski, MS 

作者机构：NIH Natl Ctr Biotechnol Informat Natl Lib Med Bethesda MD 20892 USA Natl Human Genome Res Inst Canc Genet Branch NIH Bethesda MD 20892 USA Natl Human Genome Res Inst Genome Technol Branch NIH Bethesda MD 20892 USA NCI Biometr Res Branch NIH Bethesda MD 20892 USA 

出 版 物：《NATURE GENETICS》 (自然遗传学)

年 卷 期：1998年第20卷第1期

页      面：19-23页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 09[农学] 

主　　题：Serial analysis Hybridization Genome Microarray Patterns Map maps Web Browser Genome Genes microarray technology hybridisation Microarray MAPPING(MATHEMATICAL) information retrieval data entry Data management arrays 

摘      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 (***/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.