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MIPS:2010年的精选数据库和全面的二次数据资源。

MIPS: curated databases and comprehensive secondary data resources in 2010.

作者信息

Mewes H Werner, Ruepp Andreas, Theis Fabian, Rattei Thomas, Walter Mathias, Frishman Dmitrij, Suhre Karsten, Spannagl Manuel, Mayer Klaus F X, Stümpflen Volker, Antonov Alexey

机构信息

Institute for Bioinformatics and Systems Biology, MIPS, Helmholtz Center F Health and Environment, Ingolstädter Landstr 1, D-85764 Neuherberg, Germany.

出版信息

Nucleic Acids Res. 2011 Jan;39(Database issue):D220-4. doi: 10.1093/nar/gkq1157. Epub 2010 Nov 24.

Abstract

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).

摘要

慕尼黑蛋白质序列信息中心(位于德国新赫贝格的亥姆霍兹环境健康中心的MIPS)在提供生物数据注释集方面拥有多年经验。一些高度相关的选定数据集,如模式基因组,会经过仔细的人工整理,而大量的高通量数据则通过自动方式进行注释。过去开发且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)。最近的项目有PhenomiR(关于微小RNA相关表型的数据库)和用于综合与比较植物基因组研究的MIPS植物数据库。相互关联的资源SIMAP和PEDANT为3800万个蛋白质序列提供了同源关系以及最新且一致的注释。PPLIPS和CCancer是用于蛋白质组学和功能基因组学的通用工具,可连接到从文献中提取的基因列表汇编数据库。一种新型的文献挖掘工具EXCERBT可通过语义分析从Medline摘要中获取有关基因、蛋白质、表型和疾病之间分类关系的结构化信息。此处描述的所有数据库以及我们项目的详细说明均可通过MIPS万维网服务器(http://mips.helmholtz-muenchen.de)访问。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/861a/3013725/9a7346041df8/gkq1157f1.jpg

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