作　　者： ; ; ;

机构地区： 南方医科大学基础医学院基因工程研究所

出　　处： 《医学分子生物学杂志》 2009年第2期161-166,共6页

摘　　要： 高通量微阵列杂交技术和测序技术的快速发展，产生了大量的基因数据，生物信息迅速膨胀成为数据的海洋。为适应这种高通量基因表达数据的不断增长和人们共享数据的需要，各种数据库应用而生，其中，NCBI（national center for biotechnology information）的基因表达综合数据库（gene expression omnibus，GEO）是世界上最大的储存高通量分子丰度数据的公共数据库，用户可以提交、储存和检索多种形式的数据并免费使用。迄今为止，GEO已收录了300000个样本的数据，涉及16亿个基因表达丰度数据，涵盖500多种生物体，广泛覆盖各种生物学内容。GEO数据库操作简单，数据全面，免费共享的优势为后期数据挖掘和信息推广提供了良好的平台。文章概述了GEO数据库的结构、数据的提交、检索和其在分子生物学领域中的应用前景。登陆GEO数据库的网址为：http：／／www．ncbi．nlm．nih．gov／geo。 With the development of high-throughput microarray technology and DNA sequencing, enormous data have been generated. Biological information is now becoming accumulated in astronomical speed. In order to analyze and to make full use of the vast ocean of data and to help distribute these data, several databases have been developed. The Gene Expression Omnibus （GEO） at the National Center for Biotechnology Information （NCBI） is the largest fully public repository for such data, generated mostly from microarray studies globally. The GEO database has a flexible and open access design that allows the submission, storage and retrieval of many data formats. Today the database holds over 30, 000 samples and 16 billion individual abundance measurements for over 500 organisms, addressing a wide range of biological phenomena. GEO database is easy to use, comprehensive resources, updating timely, and is free to the public and scientific community. GEO is publicly accessible through the World Wide Web at. GEO is presenting a useful platform for subsequent data mining and distributing of these important information. This paper reviews structure, data submission, retrieval and future application of GEO.

关 键 词： 基因表达综合数据库 基因表达 数据挖掘

领　　域： [生物学]