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RNA-seq driven gene identification

dc.contributor.authorZickmann, Franziska
dc.contributor.authorLindner, Martin S.
dc.contributor.authorRenard, Bernhard Y.
dc.contributor.editorGiegerich, Robert
dc.contributor.editorHofestädt, Ralf
dc.contributor.editorNattkemper, Tim W.
dc.date.accessioned2017-07-26T14:12:12Z
dc.date.available2017-07-26T14:12:12Z
dc.date.issued2014
dc.description.abstractThe reliable identification of genes is a challenging and crucial part of genome research. Various methods aiming at accurate predictions have evolved that predict genes ab initio on reference sequences or evidence based with help of additional information. With high-throughput RNA-Seq data reflecting currently expressed genes, a particularly meaningful source of information has become commonly available. However, a particular challenge in including RNA-Seq data is the difficult handling of ambiguously mapped reads. Therefore we developed GIIRA, a novel gene finder that is exclusively based on RNA-Seq data and inherently includes ambiguously mapped reads. Evaluation on simulated and real data and comparison with existing methods incorporating RNA-Seq information highlight the accuracy of GIIRA in identifying the expressed genes. Further, we developed a framework to integrate GIIRA and other gene finders to obtain a verified and accurate set of gene predictions.en
dc.identifier.isbn978-3-88579-629-9
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofGerman conference on bioinformatics 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-235
dc.titleRNA-seq driven gene identificationen
dc.typeText/Conference Paper
gi.citation.endPage40
gi.citation.publisherPlaceBonn
gi.citation.startPage36
gi.conference.date28. September - 1. October 2014
gi.conference.locationBielefeld

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