Dynamic Codon Biaser

Dynamic Codon Biaser computes codon usage bias statistics in prokaryotic genomes from NCBI accession numbers or custom sequences by analyzing synonymous codon frequencies in a reference set of 40 highly conserved highly expressed genes (HEGs) to characterize selective and mutational influences.


Key Features:

  • Dynamic Calculation: Computes codon bias statistics for supplied NCBI accession numbers and custom sequences rather than relying on a static database.
  • Highly Expressed Genes (HEGs): Uses a reference set of 40 highly conserved HEGs across prokaryotes as the basis for bias calculations, leveraging their conservation and high expression levels.
  • Comprehensive Output: Generates detailed codon bias statistics and outputs the genome HEG sequences for downstream analysis.

Scientific Applications:

  • Evolutionary Studies: Enables analysis of codon usage patterns to infer evolutionary pressures and adaptations in bacterial genomes.
  • Phage-Host Predictions: Supports comparison of codon usage between bacteriophages and potential hosts to inform phage–host relationship predictions.
  • Functional Genomics: Identifies deviations in codon usage that may indicate functional elements affecting gene expression or protein folding.

Methodology:

Calculates codon usage bias by analyzing the frequency of synonymous codons used in a reference set of 40 highly conserved HEGs; biases are interpreted as reflective of selective pressures and potential mutational influences within the genome.

Topics

Details

License:
BSD-3-Clause
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
5/12/2022
Last Updated:
5/12/2022

Operations

Publications

Dehlinger B, Jurss J, Lychuk K, Putonti C. The Dynamic Codon Biaser: calculating prokaryotic codon usage biases. Microbial Genomics. 2021;7(10). doi:10.1099/mgen.0.000663. PMID:34699346. PMCID:PMC8627211.

PMID: 34699346
PMCID: PMC8627211
Funding: - National Science Foundation: 1661357

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