Tree adjoining grammars for RNA structure prediction
Theoretical Computer Science - Special issue: Genome informatics
Dynamic programming algorithms for RNA secondary structure prediction with pseudoknots
Discrete Applied Mathematics - Special volume on combinatorial molecular biology
Pattern Discovery in Biosequences
ICGI '98 Proceedings of the 4th International Colloquium on Grammatical Inference
Some computational properties of Tree Adjoining Grammars
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Grammatical Inference in Bioinformatics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pseudoknot Identification through Learning TAGRNA
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
Journal of Computer and System Sciences
Improved Algorithms for Parsing ESLTAGs: A Grammatical Model Suitable for RNA Pseudoknots
ISBRA '09 Proceedings of the 5th International Symposium on Bioinformatics Research and Applications
Improved Algorithms for Parsing ESLTAGs: A Grammatical Model Suitable for RNA Pseudoknots
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Hi-index | 0.00 |
Studying the structure of RNA sequences is an important problem that helps in understanding the functional properties of RNA. After being ignored for a long time due to the high computational complexity it requires, pseudoknot is one type of RNA structures that has been given a lot of attention lately. Pseudoknot structures have functional importance since they appear, for example, in viral genome RNAs and ribozyme active sites. In this paper, we present a folding framework, TAGRNA Inf, for RNA structures that support pseudoknots. Our approach is based on learning TAGRNA grammars from training data with structural information. The inferred grammars are used to indentify sequences with structures analogous to those in the training set and generate a folding for these sequences. We present experimental results and comparisons with other known pseudoknot folding approaches.