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IntaRNA enables the prediction of RNA-RNA interactions. It has been designed to predict mRNA target sites for given non-coding RNAs (ncRNAs) like eukaryotic microRNAs (miRNAs) or bacterial small RNAs (sRNAs), but it can also be used to predict other types of RNA-RNA interactions.
IntaRNA, developed by Prof. Backofen's bioinformatics group at Freiburg University , is a general and fast approach to the prediction of RNA-RNA interactions incorporating both the accessibility of interacting sites as well as the existence of a user-definable seed interaction.
May 4, 2017 · The IntaRNA algorithm enables fast and accurate prediction of RNA–RNA hybrids by incorporating seed constraints and interaction site accessibility. Here, we introduce IntaRNA v2, which enables enhanced parameterization as well as fully customizable control over the prediction modes and output formats. Based on up to date benchmark data, the ...
IntaRNA 2.0, a program for the fast and accurate prediction of interactions between two RNA molecules. For detailed information, please refer to IntaRNA. Martin Mann, Patrick R. Wright, and Rolf Backofen.
IntaRNA is a program for the fast and accurate prediction of interactions between two RNA molecules. It has been designed to predict mRNA target sites for given non-coding RNAs (ncRNAs) like eukaryotic microRNAs (miRNAs) or bacterial small RNAs (sRNAs), but it can also be used to predict other types of RNA-RNA interactions.
The INTARNA algorithm enables fast and accurate prediction of RNA–RNA hybrids by incorporating seed constraints and interaction site accessibility. Here, we introduce INTARNAv2, which enables en-hanced parameterization as well as fully customiz-able control over the prediction modes and output formats.
Dec 15, 2008 · Results: We introduce INTARNA, a new general and fast approach to the prediction of RNA-RNA interactions incorporating accessibility of target sites as well as the existence of a user-definable seed.
IntaRNA enables the prediction of RNA-RNA interactions. It has been designed to predict mRNA target sites for given non-coding RNAs (ncRNAs) like eukaryotic microRNAs (miRNAs) or bacterial small RNAs (sRNAs), but it can also be used to predict other types of RNA-RNA interactions.
Oct 21, 2008 · Abstract. Motivation: During the last few years, several new small regulatory RNAs (sRNAs) have been discovered in bacteria. Most of them act as post-transcriptional regulators by base pairing to a target mRNA, causing translational repression or activation, or mRNA degradation.
Dec 30, 2016 · IntaRNA (av. MCC: 0.51) slightly outperformed RNAup (av. MCC: 0.49) and produced a higher PPV than the other tools benchmarked. RNAplex (av. MCC: 0.48) and RIsearch (av. MCC: 0.48) (an alignment-like method) were also comparable with these two algorithms for eukaryotic datasets.
