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.