RNAcentral, the RNA sequence database
RNAcentral,RNA 序列数据库
基本信息
- 批准号:BB/N019199/1
- 负责人:
- 金额:$ 87.33万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2017
- 资助国家:英国
- 起止时间:2017 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In molecular biology, the central dogma explains that the genes in DNA code for RNA. RNA molecules are then translated into proteins that are the mini-machines that carry out the main processes in the cell. Recently it has become apparent that potentially many thousands of human genes code for RNAs that are not translated into proteins, but rather carry out important functions in the cell as RNA. These molecules are often known as non-coding RNAs. Much of the focus in biology over the past thirty years of research has been on DNA and proteins, but recently there has been a surge of interest in non-coding RNAs. In fact, the core of the machine that makes proteins from RNA, called the ribosome, has itself been shown to be made of RNA. Non-coding RNAs have also been shown to be widely involved in regulating the levels of other genes and may be useful in making treatments for patients with a variety of diseases. The role of non-coding RNAs in plant and animal development is evident, but a deeper understanding of the biology is essential, thereby allowing their modulation to enhance features such as yield or resistance to diseases. Unsurprisingly, aberrant expression of non-coding RNAs has also been implicated in numerous disease states.Research and innovation in the area of non-coding RNAs, and in molecular biology more generally, is hampered by the lack of an authoritative and complete resource collecting together all known non-coding RNAs. There are over 30 different online databases that contain information about different types of RNA molecules. Each of these resources makes their information available in different ways. The scattered nature of these resources has made it nearly impossible for biologists to discover what is known about non-coding RNAs related to their research area. To address this problem we created a resource called RNAcentral that brings together information from all the different RNA databases in one place. The most important information stored in RNAcentral is called the sequence of the RNA. Many existing RNA resources (called RNAcentral Expert Databases) have provided their data to RNAcentral. In this proposal we will add further more detailed information about the structure and function of RNAs into RNAcentral. We will work closely with one specific expert database, called miRBase, based at the University of Manchester, who will test out the system for searching the RNAcentral sequence database on specific subsets of RNAs. By the end of this project, researchers from around the UK and the rest of the world will have access to an increased set of information about RNAs. This information will be freely available in a variety of ways including via a website and as a downloadable database. Having access to this information will help researchers connect RNAs into their work better to help them make new discoveries sooner.
在分子生物学中,中心法则解释了DNA中的基因编码RNA。然后RNA分子被翻译成蛋白质,蛋白质是在细胞中执行主要过程的微型机器。最近,很明显,可能有成千上万的人类基因编码RNA,这些RNA不翻译成蛋白质,而是作为RNA在细胞中执行重要功能。这些分子通常被称为非编码RNA。在过去的三十年里,生物学的研究重点主要集中在DNA和蛋白质上,但最近对非编码RNA的兴趣激增。事实上,从RNA制造蛋白质的机器的核心,称为核糖体,本身已被证明是由RNA组成的。非编码RNA也被证明广泛参与调节其他基因的水平,并可能用于治疗各种疾病的患者。非编码RNA在植物和动物发育中的作用是显而易见的,但对生物学的更深入理解是必不可少的,从而允许它们的调节以增强产量或抗病性等特征。非编码RNA的异常表达也与许多疾病状态有关,这一点并不令人惊讶。非编码RNA领域的研究和创新,以及更广泛的分子生物学领域的研究和创新,由于缺乏权威和完整的资源,将所有已知的非编码RNA收集在一起,而受到阻碍。有超过30种不同的在线数据库包含有关不同类型RNA分子的信息。这些资源中的每一个都以不同的方式提供信息。这些资源的分散性使得生物学家几乎不可能发现与其研究领域相关的非编码RNA。为了解决这个问题,我们创建了一个名为RNAcentral的资源,它将所有不同RNA数据库的信息汇集在一起。存储在RNAcentral中的最重要的信息被称为RNA的序列。许多现有的RNA资源(称为RNAcentral专家数据库)已经向RNAcentral提供了数据。在本提案中,我们将在RNAcentral中添加有关RNA结构和功能的更多详细信息。我们将与曼彻斯特大学的一个名为miRBase的特定专家数据库密切合作,该数据库将测试该系统,以搜索特定RNA子集的RNAcentral序列数据库。到这个项目结束时,来自英国和世界其他地区的研究人员将能够获得更多关于RNA的信息。这些信息将以各种方式免费提供,包括通过网站和可下载的数据库。获得这些信息将有助于研究人员更好地将RNA与他们的工作联系起来,帮助他们更快地做出新的发现。
项目成果
期刊论文数量(8)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
RNAcentral 2021: secondary structure integration, improved sequence search and new member databases.
- DOI:10.1093/nar/gkaa921
- 发表时间:2021-01-08
- 期刊:
- 影响因子:14.9
- 作者:RNAcentral Consortium
- 通讯作者:RNAcentral Consortium
The European Nucleotide Archive in 2020.
- DOI:10.1093/nar/gkaa1028
- 发表时间:2021-01-08
- 期刊:
- 影响因子:14.9
- 作者:Harrison PW;Ahamed A;Aslam R;Alako BTF;Burgin J;Buso N;Courtot M;Fan J;Gupta D;Haseeb M;Holt S;Ibrahim T;Ivanov E;Jayathilaka S;Balavenkataraman Kadhirvelu V;Kumar M;Lopez R;Kay S;Leinonen R;Liu X;O'Cathail C;Pakseresht A;Park Y;Pesant S;Rahman N;Rajan J;Sokolov A;Vijayaraja S;Waheed Z;Zyoud A;Burdett T;Cochrane G
- 通讯作者:Cochrane G
RNAcentral: a hub of information for non-coding RNA sequences.
- DOI:10.1093/nar/gky1034
- 发表时间:2019-01-08
- 期刊:
- 影响因子:14.9
- 作者:The RNAcentral Consortium
- 通讯作者:The RNAcentral Consortium
R2DT is a framework for predicting and visualising RNA secondary structure using templates.
- DOI:10.1038/s41467-021-23555-5
- 发表时间:2021-06-09
- 期刊:
- 影响因子:16.6
- 作者:Sweeney BA;Hoksza D;Nawrocki EP;Ribas CE;Madeira F;Cannone JJ;Gutell R;Maddala A;Meade CD;Williams LD;Petrov AS;Chan PP;Lowe TM;Finn RD;Petrov AI
- 通讯作者:Petrov AI
The European Nucleotide Archive in 2018.
- DOI:10.1093/nar/gky1078
- 发表时间:2019-01-08
- 期刊:
- 影响因子:14.9
- 作者:Harrison PW;Alako B;Amid C;Cerdeño-Tárraga A;Cleland I;Holt S;Hussein A;Jayathilaka S;Kay S;Keane T;Leinonen R;Liu X;Martínez-Villacorta J;Milano A;Pakseresht N;Rajan J;Reddy K;Richards E;Rosello M;Silvester N;Smirnov D;Toribio AL;Vijayaraja S;Cochrane G
- 通讯作者:Cochrane G
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Alex Bateman其他文献
Bioinformatics Applications Note Databases and Ontologies Codex: Exploration of Semantic Changes between Ontology Versions
生物信息学应用笔记数据库和本体法典:本体版本之间语义变化的探索
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Michael Hartung;Anika Groß;E. Rahm;Alex Bateman - 通讯作者:
Alex Bateman
Bioinformatics Advance Access published May 31, 2007
生物信息学高级访问发表于 2007 年 5 月 31 日
- DOI:
10.1007/s10015-009-0735-5 - 发表时间:
2007 - 期刊:
- 影响因子:0.9
- 作者:
Alex Bateman - 通讯作者:
Alex Bateman
Alex Bateman的其他文献
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{{ truncateString('Alex Bateman', 18)}}的其他基金
Improving accuracy, coverage, and sustainability of functional protein annotation in InterPro, Pfam and FunFam using Deep Learning methods
使用深度学习方法提高 InterPro、Pfam 和 FunFam 中功能蛋白注释的准确性、覆盖范围和可持续性
- 批准号:
BB/X018660/1 - 财政年份:2024
- 资助金额:
$ 87.33万 - 项目类别:
Research Grant
UKRI/BBSRC-NSF/BIO: Unifying Pfam protein sequence and ECOD structural classifications with structure models
UKRI/BBSRC-NSF/BIO:通过结构模型统一 Pfam 蛋白质序列和 ECOD 结构分类
- 批准号:
BB/X012492/1 - 财政年份:2023
- 资助金额:
$ 87.33万 - 项目类别:
Research Grant
Exploiting data driven computational approaches for understanding protein structure and function in InterPro and Pfam
利用数据驱动的计算方法来理解 InterPro 和 Pfam 中的蛋白质结构和功能
- 批准号:
BB/S020381/1 - 财政年份:2019
- 资助金额:
$ 87.33万 - 项目类别:
Research Grant
Rfam: The community resource for RNA families
Rfam:RNA 家族的社区资源
- 批准号:
BB/S020462/1 - 财政年份:2019
- 资助金额:
$ 87.33万 - 项目类别:
Research Grant
Rfam: Towards a sustainable resource for understanding the genomic functional ncRNA repertoire
Rfam:寻找了解基因组功能 ncRNA 库的可持续资源
- 批准号:
BB/M011690/1 - 财政年份:2015
- 资助金额:
$ 87.33万 - 项目类别:
Research Grant
Keeping pace with protein sequence annotation; consolidating and enhancing Pfam and InterPro's methodologies for functional prediction
与蛋白质序列注释保持同步;
- 批准号:
BB/L024136/1 - 财政年份:2014
- 资助金额:
$ 87.33万 - 项目类别:
Research Grant
The RNAcentral database of non-coding RNAs
非编码RNA的RNA中央数据库
- 批准号:
BB/J019232/1 - 财政年份:2012
- 资助金额:
$ 87.33万 - 项目类别:
Research Grant
Embracing new technologies to streamline improve and sustain InterPro and its contributing databases
采用新技术来简化、改进和维护 InterPro 及其贡献数据库
- 批准号:
BB/F010435/1 - 财政年份:2008
- 资助金额:
$ 87.33万 - 项目类别:
Research Grant
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