Blockclust: efficient clustering and classification of non-coding rnas from short Read RNA-seq profiles
dc.contributor.author | Videm, Pavankumar | |
dc.contributor.author | Rose, Dominic | |
dc.contributor.author | Costa, Fabrizio | |
dc.contributor.author | Backofen, Rolf | |
dc.contributor.editor | Giegerich, Robert | |
dc.contributor.editor | Hofestädt, Ralf | |
dc.contributor.editor | Nattkemper, Tim W. | |
dc.date.accessioned | 2017-07-26T14:12:11Z | |
dc.date.available | 2017-07-26T14:12:11Z | |
dc.date.issued | 2014 | |
dc.description.abstract | Sequence 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.isbn | 978-3-88579-629-9 | |
dc.identifier.pissn | 1617-5468 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | German conference on bioinformatics 2014 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-235 | |
dc.title | Blockclust: efficient clustering and classification of non-coding rnas from short Read RNA-seq profiles | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 22 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 1 | |
gi.conference.date | 28. September - 1. October 2014 | |
gi.conference.location | Bielefeld |
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