MIPS: curated databases and comprehensive secondary data resources in 2010.
MIPS: curated databases and comprehensive secondary data resources in 2010.
复制标题
DOI：
10.1093/nar/gkq1157
复制
发表时间：
2011-01
影响因子：
14.9
通讯作者：
Antonov A
中科院分区：
文献类型：
--
作者：
Mewes HW;Ruepp A;Theis F;Rattei T;Walter M;Frishman D;Suhre K;Spannagl M;Mayer KF;Stümpflen V;Antonov A
慕尼黑蛋白质序列信息中心（MIPS at the Helmholtz Center for Environmental Health，Neuherberg，德国）在提供生物数据注释集合方面拥有多年经验。选定的高相关性数据集，如模型基因组，经过仔细的人工管理，而大部分高通量数据则通过自动方式进行注释。过去开发并仍在积极维护的高质量参考资源包括酿酒酵母，粗糙脉孢菌和拟南芥基因组数据库以及几个蛋白质相互作用数据集（MPACT，MPPI和CORUM）。最近的项目是PhenomiR，microRNA相关表型数据库，以及用于综合和比较植物基因组研究的MIPS PlantsDB。互联资源SIMAP和PEDANT为38，000，000个蛋白质序列提供了同源性关系以及最新和一致的注释。PPARPS和CCancer是蛋白质组学和功能基因组学的通用工具，与从文献中提取的基因列表的汇编数据库接口。一种新的文献挖掘工具，EXCERBT，提供了访问的结构化信息之间的分类关系的基因，蛋白质，表型和疾病提取的Medline摘要通过语义分析。这里描述的所有数据库以及我们项目的详细描述都可以通过MIPS WWW服务器（http：//www.example.com）访问。mips.helmholtz-muenchen.de
The Munich Information Center for Protein Sequences (MIPS at the Helmholtz Center for Environmental Health, Neuherberg, Germany) has many years of experience in providing annotated collections of biological data. Selected data sets of high relevance, such as model genomes, are subjected to careful manual curation, while the bulk of high-throughput data is annotated by automatic means. High-quality reference resources developed in the past and still actively maintained include Saccharomyces cerevisiae, Neurospora crassa and Arabidopsis thaliana genome databases as well as several protein interaction data sets (MPACT, MPPI and CORUM). More recent projects are PhenomiR, the database on microRNA-related phenotypes, and MIPS PlantsDB for integrative and comparative plant genome research. The interlinked resources SIMAP and PEDANT provide homology relationships as well as up-to-date and consistent annotation for 38 000 000 protein sequences. PPLIPS and CCancer are versatile tools for proteomics and functional genomics interfacing to a database of compilations from gene lists extracted from literature. A novel literature-mining tool, EXCERBT, gives access to structured information on classified relations between genes, proteins, phenotypes and diseases extracted from Medline abstracts by semantic analysis. All databases described here, as well as the detailed descriptions of our projects can be accessed through the MIPS WWW server (http://mips.helmholtz-muenchen.de).
登录
查看更多内容
影响因子：
14.9
作者：
Wishart DS;Knox C;Guo AC;Eisner R;Young N;Gautam B;Hau DD;Psychogios N;Dong E;Bouatra S;Mandal R;Sinelnikov I;Xia J;Jia L;Cruz JA;Lim E;Sobsey CA;Shrivastava S;Huang P;Liu P;Fang L;Peng J;Fradette R;Cheng D;Tzur D;Clements M;Lewis A;De Souza A;Zuniga A;Dawe M;Xiong Y;Clive D;Greiner R;Nazyrova A;Shaykhutdinov R;Li L;Vogel HJ;Forsythe I
通讯作者：
Forsythe I
影响因子：
14.9
作者：
Antonov AV;Dietmann S;Wong P;Lutter D;Mewes HW
通讯作者：
Mewes HW
影响因子：
12.3
作者：
Ruepp A;Kowarsch A;Schmidl D;Buggenthin F;Brauner B;Dunger I;Fobo G;Frishman G;Montrone C;Theis FJ
通讯作者：
Theis FJ
影响因子：
5.4
作者：
Antonov, Alexey V.;Dietmann, Sabine;Mewes, Hans W.
通讯作者：
Mewes, Hans W.
使用中心性在文献挖掘的基因互动网络上识别基因 - 疾病的关联。
DOI：
10.1093/bioinformatics/btn182
发表时间：
2008-07-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Ozgür A;Vu T;Erkan G;Radev DR
通讯作者：
Radev DR