Sparse RNA folding revisited
Background: RNA secondary structure prediction by energy minimization is the central computational tool for the analysis of structural non-coding RNAs and their interactions. Sparsification has been successfully applied to improve the time efficiency of various structure prediction algorithms while...
Main Authors: | Will, Sebastian, Jabbari, Hosna |
---|---|
Other Authors: | Universität Leipzig, Interdisziplinäres Zentrum für Bioinformatik |
Format: | Article |
Language: | English |
Published: |
Universitätsbibliothek Leipzig
2016
|
Subjects: | |
Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-204163 http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-204163 http://www.qucosa.de/fileadmin/data/qucosa/documents/20416/OAP-2016-069_Will_art_10.1186_s13015-016-0071-y.pdf |
Similar Items
-
Theoretical Search for RNA Folding Nuclei
by: Leonid B. Pereyaslavets, et al.
Published: (2015-11-01) -
Predicting RNA secondary structure using a stochastic conjunctive grammar
by: Zier-Vogel, Ryan
Published: (2012) -
Predicting RNA secondary structure using a stochastic conjunctive grammar
by: Zier-Vogel, Ryan
Published: (2012) -
Research on RNA secondary structure predicting via bidirectional recurrent neural network
by: Weizhong Lu, et al.
Published: (2021-09-01) -
RNA inverse folding using Monte Carlo tree search
by: Xiufeng Yang, et al.
Published: (2017-11-01)