Bi-objective integer programming for RNA secondary structure prediction with pseudoknots
Abstract Background RNA structure prediction is an important field in bioinformatics, and numerous methods and tools have been proposed. Pseudoknots are specific motifs of RNA secondary structures that are difficult to predict. Almost all existing methods are based on a single model and return one s...
Main Authors: | Audrey Legendre, Eric Angel, Fariza Tahi |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2018-01-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-018-2007-7 |
Similar Items
-
RCPred: RNA complex prediction as a constrained maximum weight clique problem
by: Audrey Legendre, et al.
Published: (2019-03-01) -
New models and algorithms for RNA pseudoknot order assignment
by: Zok Tomasz, et al.
Published: (2020-06-01) -
Direct Inference of Base-Pairing Probabilities with Neural Networks Improves Prediction of RNA Secondary Structures with Pseudoknots
by: Manato Akiyama, et al.
Published: (2022-11-01) -
Multi-objective genetic algorithm for pseudoknotted RNA sequence design
by: Akito eTaneda
Published: (2012-04-01) -
Classifying Conserved RNA Secondary Structures With Pseudoknots by Vector-Edit Distance
by: Liyu Huang, et al.
Published: (2021-01-01)