Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, University of British Columbia, Vancouver, BC V5Z 4H4, Canada.
Bioinformatics. 2022 Apr 28;38(9):2664-2666. doi: 10.1093/bioinformatics/btac157.
To address the difficulty in assessing the implication of regulatory variants in diseases, a scoring scheme previously published allows the calculation of the Regulatory Variant Evidence score (RVE-score). The score represents the accumulated evidence for a causative role of a regulatory variant in a disease. Regulatory Evidence for Variants Underlying Phenotypes was built to calculate the RVE-score of regulatory variants, based on the 24 criteria, with a hybrid approach combining information retrieved from public databases and user input.
RevUP is freely available at http://www.revup-classifier.ca. The source code is available at https://github.com/wassermanlab/revup.
Supplementary data are available at Bioinformatics online.
为了解决评估疾病中调控变异影响的困难,我们之前发表了一种评分方案,允许计算调控变异证据评分(RVE-score)。该评分代表了调控变异在疾病中因果作用的累积证据。基于 24 条标准,我们构建了“调控变异在表型中证据”,以计算调控变异的 RVE-score,采用了一种结合公共数据库检索信息和用户输入的混合方法。
RevUP 可免费在 http://www.revup-classifier.ca 获取。源代码可在 https://github.com/wassermanlab/revup 获取。
补充数据可在“Bioinformatics”在线获取。