Efficient sequence clustering for RNA-seq data without a reference genome
dc.contributor.author | Battke, Florian | |
dc.contributor.author | Körner, Stephan | |
dc.contributor.author | Hüttner, Steffen | |
dc.contributor.author | Nieselt, Kay | |
dc.contributor.editor | Schomburg, Dietmar | |
dc.contributor.editor | Grote, Andreas | |
dc.date.accessioned | 2019-01-17T10:57:30Z | |
dc.date.available | 2019-01-17T10:57:30Z | |
dc.date.issued | 2010 | |
dc.description.abstract | New 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.isbn | 978-3-88579-267-3 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/19669 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | German Conference on Bioinformatics 2010 | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-173 | |
dc.title | Efficient sequence clustering for RNA-seq data without a reference genome | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 30 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 21 | |
gi.conference.date | September 20-22, 2010 | |
gi.conference.location | Braunschweig | |
gi.conference.sessiontitle | Regular Research Papers |
Dateien
Originalbündel
1 - 1 von 1