@inproceedings{47c7e227c1cd4c739693fd588cf4fb54,
title = "A new approach to RNA pseudoknot prediction",
abstract = "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.",
author = "Junilda Spirollari and Wang, {Jason T.L.} and Wang, {Shawn Xiong}",
year = "2012",
language = "English (US)",
isbn = "9781618397461",
series = "4th International Conference on Bioinformatics and Computational Biology 2012, BICoB 2012",
pages = "151--156",
booktitle = "4th International Conference on Bioinformatics and Computational Biology 2012, BICoB 2012",
note = "4th International Conference on Bioinformatics and Computational Biology 2012, BICoB 2012 ; Conference date: 12-03-2012 Through 14-03-2012",
}