RIsearch: fast RNA–RNA interaction search using a simplified nearest-neighbor energy model
Author(s) -
Anne Wenzel,
Erdinç Akbaşli,
Jan Gorodkin
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts519
Subject(s) - rna , computational biology , in silico , duplex (building) , computer science , context (archaeology) , k nearest neighbors algorithm , non coding rna , algorithm , biology , genetics , gene , artificial intelligence , dna , paleontology
Regulatory, non-coding RNAs often function by forming a duplex with other RNAs. It is therefore of interest to predict putative RNA-RNA duplexes in silico on a genome-wide scale. Current computational methods for predicting these interactions range from fast complementary-based searches to those that take intramolecular binding into account. Together these methods constitute a trade-off between speed and accuracy, while leaving room for improvement within the context of genome-wide screens. A fast pre-filtering of putative duplexes would therefore be desirable.
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