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Blockclust: efficient clustering and classification of non-coding rnas from short Read RNA-seq profiles

dc.contributor.authorVidem, Pavankumar
dc.contributor.authorRose, Dominic
dc.contributor.authorCosta, Fabrizio
dc.contributor.authorBackofen, Rolf
dc.contributor.editorGiegerich, Robert
dc.contributor.editorHofestädt, Ralf
dc.contributor.editorNattkemper, Tim W.
dc.date.accessioned2017-07-26T14:12:11Z
dc.date.available2017-07-26T14:12:11Z
dc.date.issued2014
dc.description.abstractSequence and secondary structure analysis can be used to assign putative functions to non-coding RNAs. However sequence information is changed by post-transcriptional modifications and secondary structure is only a proxy for the true 3D conformation of the RNA polymer. In order to tackle these issues we can extract a different type of description using the pattern of processing that can be observed through the traces left in small RNA-seq reads data. To obtain an efficient and scalable procedure, we propose to encode expression profiles in discrete structures, and process them using fast graph-kernel techniques.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.titleBlockclust: efficient clustering and classification of non-coding rnas from short Read RNA-seq profilesen
dc.typeText/Conference Paper
gi.citation.endPage22
gi.citation.publisherPlaceBonn
gi.citation.startPage1
gi.conference.date28. September - 1. October 2014
gi.conference.locationBielefeld

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