Pathan Mohashin, Keerthikumar Shivakumar, Ang Ching-Seng, Gangoda Lahiru, Quek Camelia Y J, Williamson Nicholas A, Mouradov Dmitri, Sieber Oliver M, Simpson Richard J, Salim Agus, Bacic Antony, Hill Andrew F, Stroud David A, Ryan Michael T, Agbinya Johnson I, Mariadason John M, Burgess Antony W, Mathivanan Suresh
Department of Electronic Engineering, La Trobe University, Bundoora, Australia.
Department of Biochemistry, La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia.
Proteomics. 2015 Aug;15(15):2597-601. doi: 10.1002/pmic.201400515. Epub 2015 Jun 17.
As high-throughput techniques including proteomics become more accessible to individual laboratories, there is an urgent need for a user-friendly bioinformatics analysis system. Here, we describe FunRich, an open access, standalone functional enrichment and network analysis tool. FunRich is designed to be used by biologists with minimal or no support from computational and database experts. Using FunRich, users can perform functional enrichment analysis on background databases that are integrated from heterogeneous genomic and proteomic resources (>1.5 million annotations). Besides default human specific FunRich database, users can download data from the UniProt database, which currently supports 20 different taxonomies against which enrichment analysis can be performed. Moreover, the users can build their own custom databases and perform the enrichment analysis irrespective of organism. In addition to proteomics datasets, the custom database allows for the tool to be used for genomics, lipidomics and metabolomics datasets. Thus, FunRich allows for complete database customization and thereby permits for the tool to be exploited as a skeleton for enrichment analysis irrespective of the data type or organism used. FunRich (http://www.funrich.org) is user-friendly and provides graphical representation (Venn, pie charts, bar graphs, column, heatmap and doughnuts) of the data with customizable font, scale and color (publication quality).
随着包括蛋白质组学在内的高通量技术在各个实验室中越来越容易获得,迫切需要一个用户友好的生物信息学分析系统。在此,我们介绍FunRich,这是一个开放获取的独立功能富集和网络分析工具。FunRich的设计目的是供生物学家使用,在计算和数据库专家很少支持或没有支持的情况下也能使用。使用FunRich,用户可以对从异构基因组和蛋白质组资源整合而来的背景数据库(超过150万个注释)进行功能富集分析。除了默认的人类特定FunRich数据库外,用户还可以从UniProt数据库下载数据,该数据库目前支持20种不同的分类法,可针对这些分类法进行富集分析。此外,用户可以构建自己的自定义数据库并进行富集分析,而无需考虑生物体。除了蛋白质组学数据集外,自定义数据库还允许该工具用于基因组学、脂质组学和代谢组学数据集。因此,FunRich允许完全的数据库定制,从而使该工具可以用作富集分析的框架,而不管使用的数据类型或生物体如何。FunRich(http://www.funrich.org)用户友好,并以可定制的字体、比例和颜色(符合出版质量)提供数据的图形表示(维恩图、饼图、柱状图、柱状图、热图和甜甜圈图)。