Improving computational efficiency for RNA secondary structure prediction via data-adaptive alignment constraints

Abstract

The most accurate methods for RNA secondary structure prediction simultaneously predict the common structure and alignment among multiple homologs. In addition to dynamic programming, practical algorithms utilize heuristics to restrict the search space and further reduce time and memory requirements. This work is directed toward improving these heuristics… (More)

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@article{DOrazio2008ImprovingCE, title={Improving computational efficiency for RNA secondary structure prediction via data-adaptive alignment constraints}, author={A.. D'Orazio and G. Sharma}, journal={2008 IEEE International Workshop on Genomic Signal Processing and Statistics}, year={2008}, pages={1-4} }