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本文引用的文献

1
denovo-db: a compendium of human de novo variants.从头变异数据库:人类从头变异的汇编
Nucleic Acids Res. 2017 Jan 4;45(D1):D804-D811. doi: 10.1093/nar/gkw865. Epub 2016 Oct 5.
2
Open Targets: a platform for therapeutic target identification and validation.开放靶点:一个用于治疗靶点识别与验证的平台。
Nucleic Acids Res. 2017 Jan 4;45(D1):D985-D994. doi: 10.1093/nar/gkw1055. Epub 2016 Nov 29.
3
The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species.君主计划:一个跨物种将表型与基因型相联系的综合数据与分析平台。
Nucleic Acids Res. 2017 Jan 4;45(D1):D712-D722. doi: 10.1093/nar/gkw1128. Epub 2016 Nov 29.
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mirDNMR: a gene-centered database of background de novo mutation rates in human.mirDNMR:一个以基因为中心的人类背景新生突变率数据库。
Nucleic Acids Res. 2017 Jan 4;45(D1):D796-D803. doi: 10.1093/nar/gkw1044. Epub 2016 Oct 30.
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Rethink the links between genes and disease.重新思考基因与疾病之间的联系。
Nature. 2016 Oct 13;538(7624):140. doi: 10.1038/538140a.
6
Ensembl 2016.Ensembl 2016。
Nucleic Acids Res. 2016 Jan 4;44(D1):D710-6. doi: 10.1093/nar/gkv1157. Epub 2015 Dec 19.
7
The Pfam protein families database: towards a more sustainable future.Pfam蛋白质家族数据库:迈向更可持续的未来。
Nucleic Acids Res. 2016 Jan 4;44(D1):D279-85. doi: 10.1093/nar/gkv1344. Epub 2015 Dec 15.
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canSAR: an updated cancer research and drug discovery knowledgebase.canSAR:一个更新的癌症研究与药物发现知识库。
Nucleic Acids Res. 2016 Jan 4;44(D1):D938-43. doi: 10.1093/nar/gkv1030. Epub 2015 Dec 15.
9
The Reactome pathway Knowledgebase.Reactome通路知识库。
Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7. doi: 10.1093/nar/gkv1351. Epub 2015 Dec 9.
10
ELM 2016--data update and new functionality of the eukaryotic linear motif resource.ELM 2016——真核生物线性基序资源的数据更新与新功能
Nucleic Acids Res. 2016 Jan 4;44(D1):D294-300. doi: 10.1093/nar/gkv1291. Epub 2015 Nov 28.

《核酸研究》第24卷年度数据库专刊:回顾与即将到来的变化

The 24th annual Nucleic Acids Research database issue: a look back and upcoming changes.

作者信息

Galperin Michael Y, Fernández-Suárez Xosé M, Rigden Daniel J

机构信息

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA

Thermo Fisher Scientific, Inchinnan Business Park, Paisley, Renfrew PA4 9RF, UK.

出版信息

Nucleic Acids Res. 2017 Jan 4;45(D1):D1-D11. doi: 10.1093/nar/gkw1188.

DOI:10.1093/nar/gkw1188
PMID:28053160
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5210597/
Abstract

This year's Database Issue of Nucleic Acids Research contains 152 papers that include descriptions of 54 new databases and update papers on 98 databases, of which 16 have not been previously featured in NAR As always, these databases cover a broad range of molecular biology subjects, including genome structure, gene expression and its regulation, proteins, protein domains, and protein-protein interactions. Following the recent trend, an increasing number of new and established databases deal with the issues of human health, from cancer-causing mutations to drugs and drug targets. In accordance with this trend, three recently compiled databases that have been selected by NAR reviewers and editors as 'breakthrough' contributions, denovo-db, the Monarch Initiative, and Open Targets, cover human de novo gene variants, disease-related phenotypes in model organisms, and a bioinformatics platform for therapeutic target identification and validation, respectively. We expect these databases to attract the attention of numerous researchers working in various areas of genetics and genomics. Looking back at the past 12 years, we present here the 'golden set' of databases that have consistently served as authoritative, comprehensive, and convenient data resources widely used by the entire community and offer some lessons on what makes a successful database. The Database Issue is freely available online at the https://academic.oup.com/nar web site. An updated version of the NAR Molecular Biology Database Collection is available at http://www.oxfordjournals.org/nar/database/a/.

摘要

今年的《核酸研究》数据库专刊包含152篇论文,其中介绍了54个新数据库,并对98个数据库进行了更新,其中16个数据库此前未在《核酸研究》中专题介绍过。一如既往,这些数据库涵盖了广泛的分子生物学主题,包括基因组结构、基因表达及其调控、蛋白质、蛋白质结构域以及蛋白质-蛋白质相互作用。随着最近的趋势,越来越多的新数据库和成熟数据库涉及人类健康问题,从致癌突变到药物和药物靶点。按照这一趋势,《核酸研究》的审稿人和编辑选出了三个最近汇编的数据库作为“突破性”贡献,分别是denovo-db、君主计划和开放靶点,它们分别涵盖人类新生基因变异、模式生物中与疾病相关的表型以及一个用于治疗靶点识别和验证的生物信息学平台。我们预计这些数据库将吸引众多从事遗传学和基因组学各个领域研究的人员的关注。回顾过去12年,我们在此展示一系列“黄金”数据库,它们一直作为权威、全面且便捷的数据资源被整个科研群体广泛使用,并提供一些关于如何打造一个成功数据库的经验教训。该数据库专刊可在https://academic.oup.com/nar网站免费在线获取。《核酸研究》分子生物学数据库合集的更新版本可在http://www.oxfordjournals.org/nar/database/a/获取。