DNA Sequence Analyzer
Inspect DNA length, nucleotide counts, GC content, GC skew and approximate molecular size.
Your result, clearly explained
Paste a sequence or load the example, then run the tool. Your sequence stays in this browser.
How to use
- Paste DNA
Use a raw sequence or one FASTA record up to 100,000 bases.
- Run the analysis
Calculate nucleotide counts, GC content and sequence length.
- Review the report
Inspect ambiguity, GC skew and the rough double-stranded mass estimate.
Why ToolerWork?
Sequence calculations run inside your browser.
Strand direction, code table and approximation limits are explained.
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Why use this tool?
- Check composition and length before translation or ORF analysis.
- Spot ambiguous positions before interpreting derived statistics.
- Download one report with counts, percentages and assumptions.
Method & assumptions
Length includes every accepted IUPAC position. GC and AT percentages use only A/C/G/T. GC skew is (G − C) / (G + C). The rough double-stranded DNA mass uses 660 Da per base pair; it is a length-based estimate, not an exact oligonucleotide mass calculation.
References: NCBI genetic codes
Explore all 10 biology tools →Frequently asked questions
Which statistics are included?
The report includes length, A/T/G/C counts, ambiguous count, known-base GC and AT percentages, GC skew and an approximate double-stranded mass.
How is DNA length reported?
The input strand is counted in nucleotides. For the double-stranded mass estimate, each input position is treated as one base pair in a matching duplex.
What does GC skew mean?
GC skew compares G with C: (G − C) / (G + C). It is undefined when both counts are zero. It is a composition statistic, not a gene prediction.
Is the DNA mass exact?
No. The 660 Da-per-base-pair approximation does not account for actual base composition, end groups, counterions or chemical modifications.
Can I analyze more than one FASTA entry?
Use one record at a time. Multiple headers are rejected to avoid joining unrelated sequences and reporting misleading statistics.