期刊
JOURNAL OF MOLECULAR BIOLOGY
卷 433, 期 11, 页码 -出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jmb.2020.166727
关键词
ncRNA variant; disease phenotype; lncRNA; miRNA; association data
资金
- National Key R&D Program of China [2018YFC0910401, 2016YFC0901604]
- National Natural Science Foundation of China [31771478]
- Fundamental Research Funds of the Central Universities
- Sun Yat-sen University [19ykpy86]
- China Postdoctoral Science Foundation [2020M673023]
ncRNAVar is the first database providing association data between validated ncRNA variants and human diseases, curated manually and computationally. It offers various web applications including association prioritization, network visualization, and relationship mapping, serving as a useful resource for understanding relationships between ncRNA variants and human health.
While variants of noncoding RNAs (ncRNAs) have been experimentally validated as a new class of biomarkers and drug targets, the discovery and interpretation of relationships between ncRNA variants and human diseases become important and challenging. Here we present ncRNAVar (http://www.liwzlab.cn/ncrnavar/), the first database that provides association data between validated ncRNA variants and human diseases through manual curation on 2650 publications and computational annotation. ncRNAVar contains 4565 associations between 711 human disease phenotypes and 3112 variants from 2597 ncRNAs. Each association was reviewed by professional curators, incorporated with valuable annotation and cross references, and designated with an association score by our refined score model. ncRNAVar offers web applications including association prioritization, network visualization, and relationship mapping. ncRNAVar, presenting a landscape of ncRNA variants in human diseases and a useful resource for subsequent software development, will improve our insight of relationships between ncRNA variants and human health. (C) 2020 The Authors. Published by Elsevier Ltd.
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