Rnall: an Efficient Algorithm for Predicting Rna Local Secondary Structural Landscape in Genomes

Abstract

BACKGROUND The information of RNA local secondary structures (LSSs) can help retrieve biologically important motifs and study functions of RNA molecules. Most of the current RNA secondary structure prediction tools are not suitable for RNA LSS prediction on the genome scale due to high computational complexity. METHODS We developed a new computer package… (More)
DOI: 10.1142/S0219720006002363

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Cite this paper

@article{Wan2006RnallAE, title={Rnall: an Efficient Algorithm for Predicting Rna Local Secondary Structural Landscape in Genomes}, author={Xiu-Feng Wan and Guohui Lin and Dong Xu}, journal={Journal of bioinformatics and computational biology}, year={2006}, volume={4 5}, pages={1015-31} }