TY - GEN
T1 - A new approach to RNA pseudoknot prediction
AU - Spirollari, Junilda
AU - Wang, Jason
AU - Wang, Shawn Xiong
PY - 2012/12/1
Y1 - 2012/12/1
N2 - We present in this paper an ab initio method, named Knot-Fold, for RNA pseudoknot prediction. Our method employs a majority agreement algorithm to predict a set of pseudoknot-free stems using an ensemble of RNA folding tools, and then predicts pseudoknots by utilizing a search technique with a pseudo-probability scoring scheme. Experimental results on PseudoBase data show that Knot-Fold achieves higher sensitivity than related methods. The KnotFold package with documentation is available at http://bioinformatics.njit.edu/ KnotFold.
AB - We present in this paper an ab initio method, named Knot-Fold, for RNA pseudoknot prediction. Our method employs a majority agreement algorithm to predict a set of pseudoknot-free stems using an ensemble of RNA folding tools, and then predicts pseudoknots by utilizing a search technique with a pseudo-probability scoring scheme. Experimental results on PseudoBase data show that Knot-Fold achieves higher sensitivity than related methods. The KnotFold package with documentation is available at http://bioinformatics.njit.edu/ KnotFold.
UR - http://www.scopus.com/inward/record.url?scp=84883638676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84883638676&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84883638676
SN - 9781618397461
T3 - 4th International Conference on Bioinformatics and Computational Biology 2012, BICoB 2012
SP - 151
EP - 156
BT - 4th International Conference on Bioinformatics and Computational Biology 2012, BICoB 2012
T2 - 4th International Conference on Bioinformatics and Computational Biology 2012, BICoB 2012
Y2 - 12 March 2012 through 14 March 2012
ER -