Codon Usage Analysis

Free

Analyze codon usage frequency and bias in DNA/RNA sequences

Overview

The Codon Usage Analysis tool calculates the frequency and relative usage of all 64 codons in a DNA or RNA sequence. This analysis is essential for understanding:

- **Codon bias**: Preferential use of certain codons over others - **Gene expression patterns**: Different organisms prefer different codons - **Sequence optimization**: Designing sequences for optimal expression - **Evolutionary studies**: Codon usage patterns reflect evolutionary history

Input Format

Supported formats

- Raw DNA/RNA sequence (ATGC characters) - FASTA format (with or without header)

Sequence requirements

- Must contain only valid nucleotide characters: A, T, G, C (DNA) or A, U, G, C (RNA) - Case insensitive - Minimum length: 3 nucleotides (to form at least one codon)

Example input

``` ATGCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ```

Or FASTA format: ``` >sequence1 ATGCGATCGATCGATCGATCGATCGATCGATCGATCGATCG ```

Output Explanation

The tool provides comprehensive codon usage statistics:

For each codon

- **Amino Acid**: The amino acid encoded by the codon - **Count**: Number of times the codon appears in the sequence - **Relative Usage**: Usage frequency relative to other codons for the same amino acid - **Percentage**: Percentage of total codons represented by this codon

Key metrics

- Total codons analyzed - Codon usage distribution - Most and least frequently used codons - Amino acid composition

Use Cases

**1. Gene Expression Optimization** - Identify rare codons that may slow translation - Optimize sequences for heterologous expression - Design synthetic genes with preferred codon usage

**2. Evolutionary Analysis** - Compare codon usage patterns across species - Study evolutionary pressures on gene sequences - Analyze codon adaptation index (CAI)

**3. Functional Genomics** - Understand gene expression regulation - Study translation efficiency - Analyze genetic code usage patterns

Tips & Best Practices

1. **Complete sequences**: Use complete coding sequences (CDS) for accurate analysis 2. **Remove introns**: Ensure input sequences contain only exonic regions 3. **Check reading frame**: Start sequences at the correct start codon (ATG) 4. **Compare references**: Compare results with organism-specific codon usage tables 5. **Consider context**: Codon usage varies by gene function and expression level