Predicting RNA Secondary Structures with Arbitrary Pseudoknots by Maximizing the Number of Stacking Pairs-Reference-Cited by-同舟云学术

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Predicting RNA Secondary Structures with Arbitrary Pseudoknots by Maximizing the Number of Stacking Pairs

Published:2003-12 Issue:6 Volume:10 Page:981-995
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Ieong Samuel¹,Kao Ming-Yang²,Lam Tak-Wah³,Sung Wing-Kin⁴,Yiu Siu-Ming³

Affiliation:

1. Department of Computer Science, Yale University, New Haven, CT 06520

2. Department of Computer Science, Northwestern University, Evanston, IL 60201

3. Department of Computer Science, The University of Hong Kong, Hong Kong

4. Department of Computer Science, National University of Singapore, Singapore 117543

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/106652703322756186

Reference8 articles.

1. Dynamic programming algorithms for RNA secondary structure prediction with pseudoknots

2. RNA Pseudoknot Prediction in Energy-Based Models

3. Fast evaluation of internal loops in RNA secondary structure prediction

4. Algorithms for Loop Matchings

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3. RNA Secondary Structure Prediction with Pseudoknots Using Chemical Reaction Optimization Algorithm;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-05-01

4. Predicting Algorithms and Complexity in RNA Structure Based on BHG;2020 16th International Conference on Computational Intelligence and Security (CIS);2020-11

5. New Algorithms in RNA Structure Prediction Based on BHG;International Journal of Pattern Recognition and Artificial Intelligence;2020-05-13

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