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Nucleic Acids Res. 2018 Jan 4;46(D1):D371-D374. doi: 10.1093/nar/gkx1025.

MNDR v2.0: an updated resource of ncRNA-disease associations in mammals.

Author information

1
The Key Laboratory of Molecular Biology for High Cancer Incidence Coastal Chaoshan Area and Department of Biochemistry and Molecular Biology, Shantou University Medical College, Shantou 515041, China.
2
College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
3
Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.

Abstract

Accumulating evidence suggests that diverse non-coding RNAs (ncRNAs) are involved in the progression of a wide variety of diseases. In recent years, abundant ncRNA-disease associations have been found and predicted according to experiments and prediction algorithms. Diverse ncRNA-disease associations are scattered over many resources and mammals, whereas a global view of diverse ncRNA-disease associations is not available for any mammals. Hence, we have updated the MNDR v2.0 database (www.rna-society.org/mndr/) by integrating experimental and prediction associations from manual literature curation and other resources under one common framework. The new developments in MNDR v2.0 include (i) an over 220-fold increase in ncRNA-disease associations enhancement compared with the previous version (including lncRNA, miRNA, piRNA, snoRNA and more than 1400 diseases); (ii) integrating experimental and prediction evidence from 14 resources and prediction algorithms for each ncRNA-disease association; (iii) mapping disease names to the Disease Ontology and Medical Subject Headings (MeSH); (iv) providing a confidence score for each ncRNA-disease association and (v) an increase of species coverage to six mammals. Finally, MNDR v2.0 intends to provide the scientific community with a resource for efficient browsing and extraction of the associations between diverse ncRNAs and diseases, including >260 000 ncRNA-disease associations.

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