Ontario Institute for Cancer Research, Department of Informatics and Bio-computing, Toronto, ON, Canada.
Proteomics. 2011 Sep;11(18):3598-613. doi: 10.1002/pmic.201100066.
Reactome (http://www.reactome.org) is an open-source, expert-authored, peer-reviewed, manually curated database of reactions, pathways and biological processes. We provide an intuitive web-based user interface to pathway knowledge and a suite of data analysis tools. The Pathway Browser is a Systems Biology Graphical Notation-like visualization system that supports manual navigation of pathways by zooming, scrolling and event highlighting, and that exploits PSI Common Query Interface web services to overlay pathways with molecular interaction data from the Reactome Functional Interaction Network and interaction databases such as IntAct, ChEMBL and BioGRID. Pathway and expression analysis tools employ web services to provide ID mapping, pathway assignment and over-representation analysis of user-supplied data sets. By applying Ensembl Compara to curated human proteins and reactions, Reactome generates pathway inferences for 20 other species. The Species Comparison tool provides a summary of results for each of these species as a table showing numbers of orthologous proteins found by pathway from which users can navigate to inferred details for specific proteins and reactions. Reactome's diverse pathway knowledge and suite of data analysis tools provide a platform for data mining, modeling and analysis of large-scale proteomics data sets. This Tutorial is part of the International Proteomics Tutorial Programme (IPTP 8).
Reactome(http://www.reactome.org)是一个开源的、专家评审的、手动注释的、经过同行评审的反应、途径和生物过程数据库。我们提供了一个直观的基于网络的用户界面,用于途径知识和一套数据分析工具。途径浏览器是一种系统生物学图形符号的可视化系统,支持通过缩放、滚动和事件突出显示手动导航途径,并利用 PSI 通用查询接口网络服务将途径与来自 Reactome 功能相互作用网络和相互作用数据库(如 IntAct、ChEMBL 和 BioGRID)的分子相互作用数据叠加。途径和表达分析工具利用网络服务提供 ID 映射、途径分配和用户提供的数据集的过度表达分析。通过将 Ensembl Compara 应用于经过注释的人类蛋白质和反应,Reactome 为 20 个其他物种生成途径推断。物种比较工具为每个物种提供了一个表格,其中显示了通过途径找到的同源蛋白质的数量,用户可以从该表格中导航到特定蛋白质和反应的推断细节。Reactome 的多样化途径知识和一套数据分析工具为大规模蛋白质组学数据集的数据挖掘、建模和分析提供了一个平台。本教程是国际蛋白质组学教程计划(IPTP 8)的一部分。