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RNALfoldz: efficient prediction of thermodynamically stable, local secondary structures

dc.contributor.authorGruber, Andreas R.
dc.contributor.authorBernhart, Stephan H.
dc.contributor.authorZhou, You
dc.contributor.authorHofacker, Ivo L.
dc.contributor.editorSchomburg, Dietmar
dc.contributor.editorGrote, Andreas
dc.date.accessioned2019-01-17T10:57:29Z
dc.date.available2019-01-17T10:57:29Z
dc.date.issued2010
dc.description.abstractThe 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.en
dc.identifier.isbn978-3-88579-267-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19664
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman Conference on Bioinformatics 2010
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-173
dc.titleRNALfoldz: efficient prediction of thermodynamically stable, local secondary structuresen
dc.typeText/Conference Paper
gi.citation.endPage20
gi.citation.publisherPlaceBonn
gi.citation.startPage11
gi.conference.dateSeptember 20-22, 2010
gi.conference.locationBraunschweig
gi.conference.sessiontitleRegular Research Papers

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