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RAIN: RNA-protein Association and Interaction Networks.

Authors :
Junge, Alexander
Refsgaard, Jan C.
Garde, Christian
Xiaoyong Pan
Santos, Alberto
Alkan, Ferhat
Anthon, Christian
von Mering, Christian
Workman, Christopher T.
Jensen, Lars Juhl
Gorodkin, Jan
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