MetaPhage
MetaPhage performs automated analysis, annotation, and classification of bacteriophages from metagenomic sequencing datasets to characterize phage diversity and roles in microbial communities.
Key Features:
- Comprehensive Pipeline: Integrates multiple phage mining strategies into a unified workflow that processes raw sequencing reads through to summary reports.
- Report Generation: Produces detailed reports with visualizations and summary tables aggregating phage identification, annotation, and classification results.
- Scalability and Reproducibility: Implemented in Nextflow to enable task parallelization across computing environments and reproducible execution via containerized packages.
- Extensibility: Modular architecture permits incorporation of additional phage miners and analytical methodologies.
Scientific Applications:
- Environmental Phage Ecology: Identification and characterization of bacteriophages in environmental metagenomes such as oceans and soils.
- Human Microbiome Studies: Profiling phages in human microbiota to investigate phage–bacterial interactions and horizontal gene transfer.
- Microbial Community Dynamics: Assessing phage contributions to bacterial community structure, predation, and ecosystem functions.
Methodology:
The pipeline is implemented in Nextflow and integrates multiple phage-mining strategies, enabling parallelized execution and reproducibility via containerized packages while processing raw sequencing reads to generate annotated and classified phage reports.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python, R
- Added:
- 1/20/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Pandolfo M, Telatin A, Lazzari G, Adriaenssens EM, Vitulo N. MetaPhage: an Automated Pipeline for Analyzing, Annotating, and Classifying Bacteriophages in Metagenomics Sequencing Data. mSystems. 2022;7(5). doi:10.1128/msystems.00741-22. PMID:36069454. PMCID:PMC9599279.