The Arabidopsis Information Resource (TAIR):: a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community

The Arabidopsis Information Resource (TAIR):: a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community
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DOI:
10.1093/nar/gkg076
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发表时间:
2003-01-01
影响因子:
14.9
通讯作者:
Zhang, PF
Zhang, PF
中科院分区:
生物学2区
文献类型:
--
作者:
Rhee, SY;Beavis, W;Zhang, PF

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拟南芥是当今研究最广泛的植物。全球 11000 多名研究人员和 4000 个组织的共同努力正在产生丰富多样、数量丰富的信息和材料。该信息通过名为拟南芥信息资源 (TAIR) (http://arabidopsis.org) 的综合在线资源提供,可通过常用的网络浏览器访问,并可以通过多种方式搜索和下载。在过去的两年中,工作重点是增加数据内容和多样性,用受控词汇对基因和基因产物进行功能注释,以及改进数据检索、分析和可视化工具。新信息包括序列多态性(包括等位基因、种质和表型)、基因本体注释、基因家族、蛋白质信息、代谢途径、来自微阵列实验的基因表达数据以及种子和 DNA 库存。新的数据可视化和分析工具包括 SeqViewer(交互式显示从整个染色体到 10 kb 核苷酸序列的基因组)和 AraCyc(代谢途径数据库和图谱工具,允许将表达数据覆盖到途径图上)。最后,我们最近整合了拟南芥生物资源中心 (ABRC) 的种子和 DNA 库存信息,并实施了购物车式在线订购系统。
Arabidopsis thaliana is the most widely-studied plant today. The concerted efforts of over 11 000 researchers and 4000 organizations around the world are generating a rich diversity and quantity of information and materials. This information is made available through a comprehensive on-line resource called the Arabidopsis Information Resource (TAIR) (http://arabidopsis.org), which is accessible via commonly used web browsers and can be searched and downloaded in a number of ways. In the last two years, efforts have been focused on increasing data content and diversity, functionally annotating genes and gene products with controlled vocabularies, and improving data retrieval, analysis and visualization tools. New information include sequence polymorphisms including alleles, germplasms and phenotypes, Gene Ontology annotations, gene families, protein information, metabolic pathways, gene expression data from microarray experiments and seed and DNA stocks. New data visualization and analysis tools include SeqViewer, which interactively displays the genome from the whole chromosome down to 10 kb of nucleotide sequence and AraCyc, a metabolic pathway database and map tool that allows overlaying expression data onto the pathway diagrams. Finally, we have recently incorporated seed and DNA stock information from the Arabidopsis Biological Resource Center (ABRC) and implemented a shopping-cart style on-line ordering system.