bTSSfinder: a novel tool for the prediction of promoters in Cyanobacteria andEscherichia coli

Ilham Shahmuradov, Rozaimi Mohamad Razali, Salim Bougouffa, Aleksandar Radovanovic, Vladimir B. Bajic

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

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 σ70 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 (σA, σC, σH, σG and σF) and for five classes of sigma factors in E. coli (σ70, σ38, σ32, σ28 and σ24). Comparing to currently available tools, bTSSfinder achieves higher accuracy (MCC=0.86, F1-score=0.93) compared to the next best tool with MCC=0.59, F1-score=0.79) and covers multiple classes of promoters.
Original languageEnglish (US)
Pages (from-to)btw629
JournalBioinformatics
Volume33
Issue number3
DOIs
StatePublished - Sep 30 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): URF/1/1976,02, FCS/1/2448,01
Acknowledgements: This publication is based upon work supported by the King Abdullah University of
Science and Technology (KAUST) Office of Sponsored Research (OSR) under
Awards No URF/1/1976,02 and FCS/1/2448,01.

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