Rapid dynamic programming algorithms for RNA secondary structure
Copyright policy )Rapid dynamic programming algorithms for RNA secondary structure
Prediction of RNA secondary structure from the linear RNA sequence is an important mathematical problem in molecular biology. Dynamic programming methods are currently the most useful computer techniques but are frequently very expensive in running time. In this paper new dynamic programming algorithms are presented which reduce the required computation. The first polynomial time algorithm is given for predicting general secondary structure.
- University of Southern California United States
- University of California System United States
- Harvard University United States
Analysis of algorithms and problem complexity, Prediction of RNA secondary structure, new dynamic programming algorithms, Applied Mathematics, Physiological, cellular and medical topics, biochemistry, polynomial time algorithm, Dynamic programming, linear RNA sequence
Analysis of algorithms and problem complexity, Prediction of RNA secondary structure, new dynamic programming algorithms, Applied Mathematics, Physiological, cellular and medical topics, biochemistry, polynomial time algorithm, Dynamic programming, linear RNA sequence
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