five

mentha

收藏
re3data.org2024-05-31 收录
下载链接:
https://www.re3data.org/repository/r3d100011124
下载链接
链接失效反馈
官方服务:
资源简介:
mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions. Protein interaction databases archive protein-protein interaction (PPI) information from published articles. However, no database alone has sufficient literature coverage to offer a complete resource to investigate "the interactome". mentha's approach generates every week a consistent interactome (graph). Most importantly, the procedure assigns to each interaction a reliability score that takes into account all the supporting evidence. mentha offers eight interactomes (Homo sapiens, Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster, Escherichia coli K12, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae) plus a global network that comprises every organism, including those not mentioned. The website and the graphical application are designed to make the data stored in mentha accessible and analysable to all users. Source databases are: MINT, IntAct, DIP, MatrixDB and BioGRID.

Mentha 存档了从不同来源收集的证据,并以全面且详尽的方式呈现这些数据。其数据源自经过人工精心筛选的蛋白质-蛋白质相互作用数据库,这些数据库均遵循了 IMEx 联盟的标准。汇总后的数据形成了一个包含多种生物体的相互作用组。Mentha 是一个提供一系列工具的资源,用于在网络相互作用背景下分析选定的蛋白质。蛋白质相互作用数据库从发表的文献中收集蛋白质-蛋白质相互作用(PPI)信息。然而,任何单一数据库都无法提供充分的文献覆盖,从而形成一个全面的研究‘相互作用组’的资源。Mentha 的方法每周生成一个一致的相互作用组(图)。最重要的是,该流程为每个相互作用分配了一个可靠性分数,该分数考虑了所有支持证据。Mentha 提供了八个相互作用组(包括人类、拟南芥、秀丽隐杆线虫、果蝇、大肠杆菌 K12、小鼠、大鼠和啤酒酵母)以及一个包含所有生物体(包括未提及的)的全球网络。网站和图形应用的设计旨在使 Mentha 中存储的数据对所有用户均易于访问和分析。数据源数据库包括:MINT、IntAct、DIP、MatrixDB 和 BioGRID。
提供机构:
the interactome browser
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作