Codon Usage Calculator

Decode coding sequences and inspect codon choices. Track amino acid counts, codons, and GC shifts. Turn raw sequence data into clear, exportable insight today.

Enter Coding Sequence

Non-nucleotide characters are removed automatically. Trailing bases that do not complete a codon are ignored.

Example Data Table

This sample shows how a short coding region might look after analysis.

RNA Codon DNA Codon Amino Acid Count Freq % Per 1000 RSCU
AUGATGMethionine (M)88.00080.0001.000
GCUGCTAlanine (A)1212.000120.0001.600
GCCGCCAlanine (A)66.00060.0000.800
GCAGCAAlanine (A)44.00040.0000.533
GCGGCGAlanine (A)88.00080.0001.067
UUUTTTPhenylalanine (F)1010.000100.0001.250
UUCTTCPhenylalanine (F)66.00060.0000.750
GGAGGAGlycine (G)99.00090.0001.200
GGCGGCGlycine (G)55.00050.0000.667
UGATGAStop (*)11.00010.0001.000

Formula Used

Codon count
Codon Count = number of exact appearances of a codon in the analyzed reading frame.

Frequency percentage
Frequency % = (Codon Count ÷ Total Normalized Codons) × 100.

Per-1000 frequency
Per 1000 = (Codon Count ÷ Total Normalized Codons) × 1000.

RSCU
RSCU = Observed Codon Count ÷ (Total counts for synonymous codons ÷ Number of synonymous codons).

GC content
GC % = ((G + C) nucleotides ÷ analyzed nucleotide length) × 100.

GC3 content
GC3 % = ((G or C at third codon positions) ÷ total raw codons) × 100.

How to Use This Calculator

  1. Paste a coding DNA or RNA sequence into the input box.
  2. Select auto detection or force DNA or RNA mode.
  3. Choose the reading frame you want to analyze.
  4. Decide whether stop codons should be part of normalized frequencies.
  5. Set how many top codons you want in the Plotly chart.
  6. Press Analyze Codon Usage to generate summary metrics and tables.
  7. Review top codons, amino acid usage, RSCU values, and preferred codons.
  8. Use the CSV or PDF buttons to export the current results.

FAQs

1. What does codon usage tell me?

It shows how often each codon appears in a coding sequence. That helps reveal synonymous preferences, translational bias, sequence composition, and possible optimization opportunities for expression studies.

2. Why does reading frame matter here?

Codons are read in triplets. Shifting the frame changes every codon boundary, which can completely alter counts, amino acid interpretation, stop codon positions, and derived statistics.

3. What is RSCU?

RSCU means Relative Synonymous Codon Usage. A value near 1 suggests equal synonymous use, above 1 suggests preference, and below 1 suggests underrepresentation within that amino acid family.

4. Should I include stop codons in normalization?

Usually, codon usage comparisons focus on sense codons, so stops are excluded. Including them can still be useful when you want complete triplet composition across an entire coding region.

5. Can this calculator handle RNA and DNA?

Yes. It accepts both. DNA thymine is converted internally to RNA uracil for codon mapping, while the results table still displays matching DNA and RNA codons side by side.

6. Why are some trailing bases ignored?

A valid codon needs three nucleotides. If the final sequence segment has one or two leftover bases after framing, they cannot form a complete codon and are excluded.

7. Does this measure codon optimization for a host organism?

Not directly. This page reports codon statistics from your sequence itself. Host-based optimization usually needs an external reference table, weighting scheme, or organism-specific codon bias dataset.

8. What is GC3 and why is it useful?

GC3 is the GC percentage at third codon positions only. It is useful because wobble positions often vary more and can strongly reflect mutational pressure or codon preference patterns.

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Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.