Phage Commander

Phage Commander annotates bacteriophage genomes by running sequences through nine auto-annotation programs and integrating their results to generate consensus gene annotations.


Key Features:

  • Multi-Program Integration: Processes phage genome sequences through nine auto-annotation programs and compiles their gene predictions into a unified set.
  • Consensus Thresholding: Allows selection of thresholds to include genes in the final annotation based on how many programs identify each gene (e.g., two or three of nine).
  • NCBI GenBank Export Formatting: Generates output files formatted for direct export to NCBI GenBank.
  • Benchmarking and Validation: Was benchmarked with eight experimentally validated phage genomes, showing optimal results when exporting genes identified by at least two or three of the nine programs.

Scientific Applications:

  • Phage Genome Annotation: Produces consensus gene annotations for bacteriophage genome projects.
  • Comparative Genomics: Provides standardized gene calls to support comparative genomic analyses across phage genomes.
  • Large-Scale Sequencing: Aggregates multiple auto-annotation outputs to facilitate annotation of large numbers of phage genomes.
  • Phage Biology and Applications: Enables studies of phage biology and evolution and supports exploration of potential applications in biotechnology and medicine via reliable annotations.

Methodology:

Runs a phage genome sequence through nine auto-annotation programs, integrates their outputs to identify consensus genes, exports genes based on selectable thresholds (e.g., genes called by ≥2 or ≥3 programs), and was benchmarked using eight experimentally validated phage genomes to determine optimal thresholds.

Topics

Details

License:
GPL-3.0
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
1/23/2021

Operations

Publications

Lazeroff M, Harris SL, Tsourkas PK. Phage Commander, a software tool for rapid annotation of bacteriophage genomes using multiple programs. Unknown Journal. 2020. doi:10.1101/2020.11.11.378802.