PhaBOX
PhaBOX analyzes metagenomic assemblies to identify phage contigs and predict phage lifestyle, taxonomy, host range, and the features used in predictive models to characterize phage sequences within microbial communities.
Key Features:
- Phage Contig Identification: Identifies phage contigs from metagenomic assemblies.
- Lifestyle Prediction: Predicts whether identified phages are temperate or virulent.
- Taxonomic Classification: Classifies phage contigs according to established viral taxonomy.
- Host Prediction: Infers potential bacterial hosts for identified phages.
- Visualization of Predictive Features: Visualizes key features used in the predictive models.
Scientific Applications:
- Phage diversity analysis: Supports assessment of phage diversity across metagenomic samples.
- Phage ecological function: Enables study of phage ecological roles within microbial communities.
- Phage–host interaction studies: Facilitates inference and analysis of phage–bacterial host interactions.
- Microbiome dynamics: Provides comprehensive phage analyses to inform understanding of microbiome dynamics.
Methodology:
Integrates multiple analytical algorithms for data processing, predictive modeling, and visualization.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 2/26/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Shang J, Peng C, Liao H, Tang X, Sun Y. PhaBOX: a web server for identifying and characterizing phage contigs in metagenomic data. Bioinformatics Advances. 2023;3(1). doi:10.1093/bioadv/vbad101. PMID:37641717. PMCID:PMC10460485.
Links
Repository
https://github.com/KennthShang/PhaBOX