Department of Electrical Engineering (ESAT-SCD), Katholieke Universiteit Leuven, 3001 Leuven, Belgium.
Nucleic Acids Res. 2011 Jul;39(Web Server issue):W334-8. doi: 10.1093/nar/gkr289. Epub 2011 May 20.
PINTA (available at http://www.esat.kuleuven.be/pinta/; this web site is free and open to all users and there is no login requirement) is a web resource for the prioritization of candidate genes based on the differential expression of their neighborhood in a genome-wide protein-protein interaction network. Our strategy is meant for biological and medical researchers aiming at identifying novel disease genes using disease specific expression data. PINTA supports both candidate gene prioritization (starting from a user defined set of candidate genes) as well as genome-wide gene prioritization and is available for five species (human, mouse, rat, worm and yeast). As input data, PINTA only requires disease specific expression data, whereas various platforms (e.g. Affymetrix) are supported. As a result, PINTA computes a gene ranking and presents the results as a table that can easily be browsed and downloaded by the user.
Pinta（可在 http://www.esat.kuleuven.be/pinta/ 获取；该网站对所有用户免费开放，无需登录）是一个基于全基因组蛋白质-蛋白质相互作用网络中基因邻居表达差异进行候选基因优先级排序的网络资源。我们的策略旨在为使用特定疾病表达数据来识别新疾病基因的生物医学研究人员提供服务。Pinta 支持候选基因优先级排序（从用户定义的候选基因集开始）以及全基因组基因优先级排序，目前支持 5 个物种（人类、小鼠、大鼠、线虫和酵母）。作为输入数据，Pinta 仅需要特定疾病的表达数据，同时支持各种平台（例如 Affymetrix）。因此，Pinta 计算基因排名，并将结果以表格形式呈现，用户可以轻松浏览和下载。
