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piRPheno: a manually curated database to prioritize and analyze human disease related piRNAs

Authors :
Wen Guan
Yanjie Wei
Wenliang Zhang
Weizhong Li
Binghui Zeng
Song Wu
Godfrey Chi-Fung Chan
Haiyue Zhang
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........63bb4b8ff99355512d3dd63170059658