GeneRanker: An Online System for Predicting Gene-Disease Associations for Translational Research.

Graciela Gonzalez, Juan C Uribe, Brock Armstrong, Wendy McDonough, Michael E Berens
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Abstract

With the overwhelming volume of genomic and molecular information available on many databases nowadays, researchers need from bioinformaticians more than encouragement to refine their searches. We present here GeneRanker, an online system that allows researchers to obtain a ranked list of genes potentially related to a specific disease or biological process by combining gene-disease (or genebiological process) associations with protein-protein interactions extracted from the literature, using computational analysis of the protein network topology to more accurately rank the predicted associations. GeneRanker was evaluated in the context of brain cancer research, and is freely available online at http://www.generanker.org.

Abstract Image

Abstract Image

GeneRanker:一个用于翻译研究的预测基因-疾病关联的在线系统。
如今,许多数据库中都有海量的基因组和分子信息,研究人员需要生物信息学家的鼓励来改进他们的搜索。我们在这里介绍了GeneRanker,这是一个在线系统,通过将基因-疾病(或基因-生物学过程)关联与从文献中提取的蛋白质-蛋白质相互作用相结合,使用蛋白质网络拓扑的计算分析来更准确地对预测的关联进行排序,使研究人员能够获得与特定疾病或生物过程潜在相关的基因排名列表。GeneRanker是在脑癌研究的背景下进行评估的,可以在http://www.generanker.org上免费获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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