National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Nucleic Acids Res. 2012 Jan;40(Database issue):D1-8. doi: 10.1093/nar/gkr1196. Epub 2011 Dec 5.
The 19th annual Database Issue of Nucleic Acids Research features descriptions of 92 new online databases covering various areas of molecular biology and 100 papers describing recent updates to the databases previously described in NAR and other journals. The highlights of this issue include, among others, a description of neXtProt, a knowledgebase on human proteins; a detailed explanation of the principles behind the NCBI Taxonomy Database; NCBI and EBI papers on the recently launched BioSample databases that store sample information for a variety of database resources; descriptions of the recent developments in the Gene Ontology and UniProt Gene Ontology Annotation projects; updates on Pfam, SMART and InterPro domain databases; update papers on KEGG and TAIR, two universally acclaimed databases that face an uncertain future; and a separate section with 10 wiki-based databases, introduced in an accompanying editorial. The NAR online Molecular Biology Database Collection, available at http://www.oxfordjournals.org/nar/database/a/, has been updated and now lists 1380 databases. Brief machine-readable descriptions of the databases featured in this issue, according to the BioDBcore standards, will be provided at the http://biosharing.org/biodbcore web site. The full content of the Database Issue is freely available online on the Nucleic Acids Research web site (http://nar.oxfordjournals.org/).
《核酸研究》第 19 届年度数据库特刊介绍了 92 个涵盖分子生物学各个领域的全新在线数据库,以及 100 篇描述 NAR 和其他期刊之前描述的数据库最新更新的论文。本期的亮点包括描述了人类蛋白质知识库 neXtProt;详细解释了 NCBI 分类学数据库背后的原理;NCBI 和 EBI 发表的论文介绍了最近推出的生物样本数据库,该数据库存储了各种数据库资源的样本信息;描述了基因本体论和 UniProt 基因本体论注释项目的最新进展;更新了 Pfam、SMART 和 InterPro 结构域数据库;KEGG 和 TAIR 更新论文,这两个广受赞誉的数据库前途未卜;以及在随附的社论中介绍的 10 个基于维基的数据库的单独部分。可在 http://www.oxfordjournals.org/nar/database/a/ 上访问的《核酸研究》在线分子生物学数据库集合已更新,现在列出了 1380 个数据库。根据 BioDBcore 标准,将在 http://biosharing.org/biodbcore 网站上提供本期特色数据库的简要机器可读描述。《核酸研究》网站(http://nar.oxfordjournals.org/)上可免费获取数据库特刊的全文内容。