MARVEL – Metagenomic Analysis and Retrieval of Viral Elements
MARVEL is a tool for recovery of complete phage genomes from whole community shotgun metagenomic sequencing data.
A complete article describing MARVEL was published in Frontiers in Genetics.
Please, cite:
Amgarten, D. E., Braga, L. P. P., Da Silva, A. M., & Setubal, J. C. (2018). MARVEL, a Tool for Prediction of Bacteriophage Sequences in Metagenomic Bins. Frontiers in genetics, 9, 304.
MARVEL is publicly available at GitHub, along with installation instructions and usage examples:
GitHub repository
We implemented a random forest algorithm as MARVEL’s prediction core. Validation tests with mocking datasets from NCBI refseq database show accuracies, true positive rates and specificity all higher than 99% for bins composed of contigs 4 kbp or longer.
Comparison with existing tools show that MARVEL’s superior performance for most assessed scenarios.