Predicting promoters in phage genomes using PhagePromoter

Author:

Sampaio Marta1,Rocha Miguel1ORCID,Oliveira Hugo1,Dias Oscar1ORCID

Affiliation:

1. Centre of Biological Engineering, School of Engineering, University of Minho, Braga, Portugal

Abstract

Abstract Summary The growing interest in phages as antibacterial agents has led to an increase in the number of sequenced phage genomes, increasing the need for intuitive bioinformatics tools for performing genome annotation. The identification of phage promoters is indeed the most difficult step of this process. Due to the lack of online tools for phage promoter prediction, we developed PhagePromoter, a tool for locating promoters in phage genomes, using machine learning methods. This is the first online tool for predicting promoters that uses phage promoter data and the first to identify both host and phage promoters with different motifs. Availability and implementation This tool was integrated in the Galaxy framework and it is available online at: https://bit.ly/2Dfebfv. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Portuguese Foundation for Science and Technology

FCT

European Regional Development Fund

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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