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
Cited by
39 articles.
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