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RAIN: RNA-protein Association and Interaction Networks.
- Source :
-
Database: The Journal of Biological Databases & Curation . 2017, Vol. 2017 Issue 1, p1-9. 9p. - Publication Year :
- 2017
-
Abstract
- Protein association networks can be inferred from a range of resources including experimental data, literature mining and computational predictions. These types of evidence are emerging for non-coding RNAs (ncRNAs) aswell. However, integration of ncRNAs into protein association networks is challenging due to data heterogeneity. Here, we present a database of ncRNA-RNA and ncRNA-protein interactions and its integration with the STRING database of protein-protein interactions. These ncRNA associations cover four organisms and have been established from curated examples, experimental data, interaction predictions and automatic literaturemining. RAIN uses an integrative scoring scheme to assign a confidence score to each interaction. We demonstrate that RAIN outperforms the underlying microRNA-target predictions in inferring ncRNA interactions. RAIN can be operated through an easily accessibleweb interface and all interaction data can be downloaded. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17580463
- Volume :
- 2017
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Database: The Journal of Biological Databases & Curation
- Publication Type :
- Academic Journal
- Accession number :
- 122051133
- Full Text :
- https://doi.org/10.1093/database/baw167