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2010
Springer

RNALfoldz: Efficient Prediction of Thermodynamically Stable, Local Secondary Structures

9 years 5 months ago
RNALfoldz: Efficient Prediction of Thermodynamically Stable, Local Secondary Structures
Abstract: The search for local RNA secondary structures and the annotation of unusually stable folding regions in genomic sequences are two well motivated bioinformatic problems. In this contribution we introduce RNALfoldz an efficient solution two tackle both tasks. It is an extension of the RNALfold algorithm augmented by support vector regression for efficient calculation of a structure's thermodynamic stability. We demonstrate the applicability of this approach on the genome of E. coli and investigate a potential strategy to determine z-score cutoffs given a predefined false discovery rate.
Andreas R. Gruber, Stephan H. F. Bernhart, You Zho
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where GCB
Authors Andreas R. Gruber, Stephan H. F. Bernhart, You Zhou, Ivo L. Hofacker
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