Search

If you are using iPHoP for phage host prediction: a new update has just been released (1.3.3), alongside an updated host database now based on GTDB r214. Updated code and database available via conda / Docker. Report any issues here.

Uses genomic similarity to a reference database of phages with known hosts to predict hosts for uncharacterized phages

Kernelized Logistic Matrix Factorization based on Similarity Network Fusion for predicting virus–host association

Uses several interaction signals, including CRISPR and protein–protein interaction, to predict novel phage–host pairings

Uses similar oligonucleotide frequency patterns between phages and bacteria to predict host range for phages on a genus level

An alignment-free approach for distinction between phages and eukaryotic viruses in metagenome data

Fast and accurate, making it suitable for predicting phages' host range from metagenomic data

PhageHostLearn provides pairwise machine-learning models for phage–host interaction prediction, with code for training models, reproducing the study, or making new predictions. PhageHostLearn