Search

Identifies viral sequences by leveraging metagenomic assembly graphs and analyzing the variations in depth of coverage between viral and bacterial genomes. Made of three modules, it also calculates the completeness of predicted viral sequen

A microbe–phage interaction database with over 30 k viral clusters, gathered from public databases and microbiome sequences

A database of manually curated protein families, containing 14 831 Pfam-A families

Phage multiplication for stock preparation

The Actinobacteriophage Database SEA-PHAGES

SEA-PHAGES

Identifies phage sequences by a machine learning model based on k-mer frequencies.

A web-based tool for identifying and annotating prophage sequences within bacterial genomes; Web server for identification and annotation of prophages in bacterial genomes and metagenomes

Phage prediction by Hidden Markov Model annotation and smoothing window algorithm mand GC content to predict prophage regions.

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

A 3-class classifier that allows identification of phages from metagenomic assemblies with enhanced performance for short fragments Deep learning CNN approach to identify both phages and plasmids

Allows simultaneous extraction of high-quality DNA and RNA from biological material

Represents a complete set of orthologous gene families shared across multiple complete genomes of bacterial or archaeal viruses

Deep learning framework that uses Long Short -Term Memory models (LSTM) which does not depend on sequence motifs.

A public webserver that provides information about the virus orthologous groups

An automated tool that uses a hybrid machine-learning and protein-similarity approach to recover and annotate viruses of microbes Deep learning neural network based on protein signatures which also highlights auxiliary metabolic genes and

Pipeline for virus identification by nucleotide and remote amino acid comparisons; multiple k-mer de novo assembly; and phylogeny.

Extension of DeepVirFinder that is trained to identify any virus that may colonise human samples.