Towards accurate transcription start site prediction: a modelling approach
| dc.contributor.author | Djordjevic, Marko | |
| 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 | Promoter prediction in bacteria is a classical bioinformatics problem, where available methods for regulatory element detection exhibit a very high number of false positives. We here argue that accurate transcription start site (TSS) prediction is a complex problem, where available methods for sequence motif discovery are not in itself well adopted for solving the problem. We here instead propose that the problem requires integration of quantitative understanding of transcription initiation with careful description of promoter sequence specificity. We review evidence for this viewpoint based on our recent work, and discuss a current progress on accurate TSS detection on the example of sigma70 transcription start sites in E. coli. | 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 | Towards accurate transcription start site prediction: a modelling approach | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 105 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 99 | |
| gi.conference.date | 28. September - 1. October 2014 | |
| gi.conference.location | Bielefeld |
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