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QmRLFS-finder: a model, web server and stand-alone tool for prediction and analysis of R-loop forming sequences.


ABSTRACT: The possible formation of three-stranded RNA and DNA hybrid structures (R-loops) in thousands of functionally important guanine-rich genic and inter-genic regions could suggest their involvement in transcriptional regulation and even development of diseases. Here, we introduce the first freely available R-loop prediction program called Quantitative Model of R-loop Forming Sequence (RLFS) finder (QmRLFS-finder), which predicts RLFSs in nucleic acid sequences based on experimentally supported structural models of RLFSs. QmRLFS-finder operates via a web server or a stand-alone command line tool. This tool identifies and visualizes RLFS coordinates from any natural or artificial DNA or RNA input sequences and creates standards-compliant output files for further annotation and analysis. QmRLFS-finder demonstrates highly accurate predictions of the detected RLFSs, proposing new perspective to further discoveries in R-loop biology, biotechnology and molecular therapy. QmRLFS-finder is freely available at http://rloop.bii.a-star.edu.sg/?pg=qmrlfs-finder.

SUBMITTER: Jenjaroenpun P 

PROVIDER: S-EPMC4489302 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

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QmRLFS-finder: a model, web server and stand-alone tool for prediction and analysis of R-loop forming sequences.

Jenjaroenpun Piroon P   Wongsurawat Thidathip T   Yenamandra Surya Pavan SP   Kuznetsov Vladimir A VA  

Nucleic acids research 20150416 W1


The possible formation of three-stranded RNA and DNA hybrid structures (R-loops) in thousands of functionally important guanine-rich genic and inter-genic regions could suggest their involvement in transcriptional regulation and even development of diseases. Here, we introduce the first freely available R-loop prediction program called Quantitative Model of R-loop Forming Sequence (RLFS) finder (QmRLFS-finder), which predicts RLFSs in nucleic acid sequences based on experimentally supported stru  ...[more]

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