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bTSSfinder: a novel tool for the prediction of promoters in cyanobacteria and Escherichia coli.

Authors :
Shahmuradov, Ilham Ayub
Razali, Rozaimi Mohamad
Bougouffa, Salim
Radovanovic, Aleksandar
Bajic, Vladimir B.
Source :
Bioinformatics; 2/1/2017, Vol. 33 Issue 3, p334-340, 7p, 1 Diagram, 4 Charts, 1 Graph
Publication Year :
2017

Abstract

Motivation: The computational search for promoters in prokaryotes remains an attractive problem in bioinformatics. Despite the attention it has received for many years, the problem has not been addressed satisfactorily. In any bacterial genome, the transcription start site is chosen mostly by the sigma (σ) factor proteins, which control the gene activation. The majority of published bacterial promoter prediction tools target σ<superscript>70</superscript> promoters in Escherichia coli. Moreover, no σ-specific classification of promoters is available for prokaryotes other than for E. coli.Results: Here, we introduce bTSSfinder, a novel tool that predicts putative promoters for five classes of σ factors in Cyanobacteria (σ<superscript>A</superscript>, σ<superscript>C</superscript>, σ<superscript>H</superscript>, σ<superscript>G</superscript> and σ<superscript>F</superscript>) and for five classes of sigma factors in E. coli (σ<superscript>70</superscript>, σ<superscript>38</superscript>, σ<superscript>32</superscript>, σ<superscript>28</superscript> and σ<superscript>24</superscript>). Comparing to currently available tools, bTSSfinder achieves higher accuracy (MCC = 0.86, F<subscript>1</subscript>-score = 0.93) compared to the next best tool with MCC = 0.59, F<subscript>1</subscript>-score = 0.79) and covers multiple classes of promoters. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
33
Issue :
3
Database :
Complementary Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
126572725
Full Text :
https://doi.org/10.1093/bioinformatics/btw629