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PhamClust: a phage genome clustering tool using proteomic equivalence.

Christian H Gauthier1, Graham F Hatfull1

  • 1Department of Biological Sciences, University of Pittsburgh , Pittsburgh, Pennsylvania, USA.

Msystems
|October 4, 2023
PubMed
Summary

PhamClust, a new bioinformatic tool, effectively clusters bacteriophage genomes using proteomic equivalence. This approach aids in understanding phage relationships and exploring genomic diversity within large datasets.

Keywords:
bacteriophagesgenome comparison

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Bacteriophage genomes exhibit mosaic structures, complicating the study of phage relatedness.
  • Accurate classification of bacteriophages is crucial for understanding viral evolution and ecology.

Purpose of the Study:

  • To introduce PhamClust, a novel bioinformatic method for comparing bacteriophage genomes.
  • To develop a new metric, the proteomic equivalence quotient, for enhanced comparative genomics.
  • To enable efficient clustering and sub-clustering of large bacteriophage genome datasets.

Main Methods:

  • PhamClust employs a proteomic equivalence quotient for comparative genomic analysis.
  • The algorithm is designed for computational efficiency, processing thousands of phage genomes.
  • It facilitates the reliable sorting of genomes into related phage groups and sub-groups.

Main Results:

  • PhamClust successfully clusters related bacteriophage genomes.
  • The method can effectively subdivide identified clusters into distinct subclusters.
  • It demonstrates utility in analyzing diverse inter-genome relatedness patterns within phage populations.

Conclusions:

  • PhamClust provides a robust and efficient solution for bacteriophage genome comparison and classification.
  • The proteomic equivalence quotient offers a valuable metric for phage genomics.
  • This tool aids in deciphering the complex relatedness of bacteriophages and their evolutionary dynamics.