What the Phage

What the Phage predicts bacteriophage sequences and provides downstream annotation and classification from sequence data to support phage identification and analysis.


Key Features:

  • Multitool Approach: Integrates multiple phage prediction tools and algorithms to combine different prediction strategies.
  • Result Summarization: Produces comprehensive summaries of prediction results using visual representations such as charts and tables.
  • Annotation and Classification: Performs downstream annotation and taxonomic or functional classification of predicted phage sequences.
  • Scalability and Reproducibility: Scales to thousands of datasets and employs Nextflow as a workflow manager to ensure reproducible execution.

Scientific Applications:

  • Microbial ecology: Identification and characterization of phages to study their roles in microbial community dynamics.
  • Environmental microbiology: Detection and analysis of phages across environmental samples to assess ecosystem-level phage presence.
  • Phage therapy research: Discovery and characterization of candidate therapeutic phages and assessment of their genomic features.
  • Phage-host interaction studies: Support for analyses that investigate relationships between phages and their bacterial hosts.
  • Novel phage discovery: Screening of sequence datasets to detect previously uncharacterized phage genomes.
  • Phage diversity assessment: Evaluation of phage diversity across samples and ecosystems based on predicted and classified sequences.

Methodology:

Integrates diverse phage prediction algorithms and uses Nextflow as a workflow manager to run predictions, followed by annotation and classification of predicted sequences.

Topics

Details

License:
GPL-3.0
Added:
1/18/2021
Last Updated:
3/14/2021

Operations

Publications

Marquet M, Hölzer M, Pletz MW, Viehweger A, Makarewicz O, Ehricht R, Brandt C. What the Phage: A scalable workflow for the identification and analysis of phage sequences. Unknown Journal. 2020. doi:10.1101/2020.07.24.219899.