Phirbo

Phirbo predicts prokaryotic hosts for phage (meta)genomic sequences by combining sequence similarity with bacterial relatedness through taxonomy-aware ranked comparisons using the Rank-Biased Overlap (RBO) measure to mitigate limitations of BLAST-based methods.


Key Features:

  • Taxonomy-Aware Sequence Similarity Ranking: Incorporates taxonomy-aware rankings of sequence similarity and compares ranked lists of varying lengths using the Rank-Biased Overlap (RBO) measure, assigning greater importance to higher-ranking matches.
  • Mitigation of BLAST Limitations: Addresses cases where top-scoring BLAST hits do not indicate the actual host, mosaic phage genomes match multiple bacteria, and divergence prevents detectable phage-host alignments.
  • Improved Precision and Recall: Integrates sequence similarity with bacterial relatedness to improve precision and recall by 11–40 percentage points compared to alignment-based, alignment-free, and machine learning methods.
  • Discriminatory Power and Accuracy: Demonstrates an Area Under the Curve (AUC) of 0.95 with mean host prediction accuracy of 57% at the genus level and 68% at the family level, retaining robust performance with only partial phage sequences (3 kb) with a 12 percentage point accuracy drop.
  • Insights into Shared Genes: Identifies protein and non-coding RNA (ncRNA) genes shared between phages and hosts to provide information relevant to horizontal gene transfer during infection.

Scientific Applications:

  • Viral ecology and host specificity: Predicts phage-host relationships to inform studies of viral ecology and host range in microbial communities.
  • Microbiology and genomics: Supports investigation of bacterial relatedness and phage interactions in microbiology and comparative genomics analyses.
  • Horizontal gene transfer studies: Enables examination of protein and ncRNA sharing between phages and hosts to study mechanisms of horizontal gene transfer and evolutionary dynamics.

Methodology:

Compares taxonomy-aware ranked lists of sequence similarity between phage and bacterial genomes using the Rank-Biased Overlap (RBO) measure, weighting higher-ranking matches more strongly.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Programming Languages:
Python
Added:
3/19/2021
Last Updated:
3/28/2021

Operations

Publications

Zielezinski A, Barylski J, Karlowski WM. Taxonomy-aware, sequence similarity ranking reliably predicts phage-host relationships. Unknown Journal. 2021. doi:10.1101/2021.01.05.425417.