Bi-objective integer programming for RNA secondary structure prediction with pseudoknots

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...

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Bibliographic Details
Main Authors: Audrey Legendre, Eric Angel, Fariza Tahi
Format: Article
Language:English
Published: BMC 2018-01-01
Series:BMC Bioinformatics
Subjects:
RNA
Secondary structure
Pseudoknot
Integer programming
Bi-objective
Optimal solutions
Online Access:http://link.springer.com/article/10.1186/s12859-018-2007-7

Internet

http://link.springer.com/article/10.1186/s12859-018-2007-7

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