Universität Bielefeld Electronic Collections animiertes Foto Universität Bielefeld

Access to the Document



Integrating Sequence Analysis with Biophysical Modelling for Accurate Transcription Start Site Prediction

Djordjevic, Marko

Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516)


Download file

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, and discuss a current progress on these issues on the example of sigma70 transcription start sites in E. coli.


Institution: Faculty of Technology, Research Groups in Informatics
DDC classification: Data processing, computer science, computer systems

Suggested Citation:
Djordjevic, Marko  (2014)  Integrating Sequence Analysis with Biophysical Modelling for Accurate Transcription Start Site Prediction. Journal of Integrative Bioinformatics - JIB (ISSN 1613-4516), 11(2), 2014

Online-Journal: http://journal.imbio.de/article.php?aid=240
URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2014/5321



 Questions or comments: publikationsdienste.ub@uni-bielefeld.de
 Latest update: 15 Feb 2011
 Legal Notice
OPUS-Logo     OAI compliant      BU Logo
OAI-Logo