SUMMARY: Phigaro is a standalone command-line application that is able to detect prophage regions taking raw genome and metagenome assemblies as an input. It also produces dynamic annotated 'prophage genome maps' and marks possible transposon insertion spots inside prophages. It is applicable for mining prophage regions from large metagenomic datasets. AVAILABILITY AND IMPLEMENTATION: Source code for Phigaro is freely available for download at https://github.com/bobeobibo/phigaro along with test data. The code is written in Python. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
SUMMARY: Phigaro is a standalone command-line application that is able to detect prophage regions taking raw genome and metagenome assemblies as an input. It also produces dynamic annotated 'prophage genome maps' and marks possible transposon insertion spots inside prophages. It is applicable for mining prophage regions from large metagenomic datasets. AVAILABILITY AND IMPLEMENTATION: Source code for Phigaro is freely available for download at https://github.com/bobeobibo/phigaro along with test data. The code is written in Python. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Authors: Eugene E Kulikov; Alla K Golomidova; Alexandr D Efimov; Ilya S Belalov; Maria A Letarova; Evelina L Zdorovenko; Yuriy A Knirel; Andrei S Dmitrenok; Andrey V Letarov Journal: Appl Environ Microbiol Date: 2021-08-18 Impact factor: 4.792
Authors: Stephen Nayfach; Antonio Pedro Camargo; Frederik Schulz; Emiley Eloe-Fadrosh; Simon Roux; Nikos C Kyrpides Journal: Nat Biotechnol Date: 2020-12-21 Impact factor: 54.908
Authors: Marija Dmitrijeva; Christian R Kahlert; Rounak Feigelman; Rebekka L Kleiner; Oliver Nolte; Werner C Albrich; Florent Baty; Christian von Mering Journal: mBio Date: 2021-03-09 Impact factor: 7.867