PhageDPO (Phage Depolymerase Finder) is a machine-learning approach developed by our bioinformatics to efficiently predict depolymerase sequences in phage genomes. The dataset is composed of protein sequences retrieved from the NCBI protein database and by a different number of negative cases, and was tested through cross-validation. PhageDPO was integrated into the Galaxy framework, providing a user-friendly graphical interface for wet-lab researchers without computational skills.