bioRxivBioinformaticsPreprint
piRPheno: a manually curated database to prioritize and analyze human disease related piRNAs
Wenliang ZhangiD, Song WuiD, Haiyue ZhangiD, Wen xian GuaniD, Binghui ZengiD, Yanjie WeiiD, Gcf ChaniD, Weizhong LiiD
Abstract
Many studies have uncovered that piRNAs (PIWI-interacting RNA) are associated with a broad range of diseases and might be a novel type of biomarkers and targets for precision medicine. However, public resource of high-quality curated human disease-associated piRNAs remains unavailable. Therefore, we developed the piRPheno (http://www.biomedical-web.com/pirpheno) database to provide an up-to-date, interactive and extensible data reference for human piRNA-disease associations. piRPheno includes 9057 experimentally supported associations between 474 piRNAs and 204 diseases through a manual curation of publications. To prioritize the piRNA-disease associations, each association in piRPheno is assigned with a confidence score and clinical correlations based on the experimentally supported evidences. piRPheno is freely available with user-friendly interface and novel applications to enable easy exploration and analysis of the human disease related piRNAs.
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