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Efficient sequence clustering for RNA-seq data without a reference genome

dc.contributor.authorBattke, Florian
dc.contributor.authorKörner, Stephan
dc.contributor.authorHüttner, Steffen
dc.contributor.authorNieselt, Kay
dc.contributor.editorSchomburg, Dietmar
dc.contributor.editorGrote, Andreas
dc.date.accessioned2019-01-17T10:57:30Z
dc.date.available2019-01-17T10:57:30Z
dc.date.issued2010
dc.description.abstractNew deep-sequencing technologies are applied to transcript sequencing (RNA-seq) for transcriptomic studies. However, current approaches are based on the availability of a reference genome sequence for read mapping. We present Passage, a method for efficient read clustering in the absence of a reference genome that allows sequencing-based comparative transcriptomic studies for currently unsequenced organisms. If the reference genome is available, our method can be used to reduce the computational effort involved in read mapping. Comparisons to microarray data show a correlation of 0.69, proving the validity of our approach.en
dc.identifier.isbn978-3-88579-267-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19669
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.titleEfficient sequence clustering for RNA-seq data without a reference genomeen
dc.typeText/Conference Paper
gi.citation.endPage30
gi.citation.publisherPlaceBonn
gi.citation.startPage21
gi.conference.dateSeptember 20-22, 2010
gi.conference.locationBraunschweig
gi.conference.sessiontitleRegular Research Papers

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