Illumina Coverage Calculator

Calculate Illumina sequencing coverage for your NGS experiments with this free online calculator.

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Worked Example & Common Values

Below is a sample worked calculation demonstrating how Illumina Coverage Calculator processes input data instantly inside your browser.

Sample Input Birth date: Jan 15, 1995, Target date: Oct 20, 2023

Computed Result Chronological Age: 28 Years, 9 Months, 5 Days (10,505 days elapsed)

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About This Tool

The Illumina Coverage Calculator helps researchers and bioinformaticians determine sequencing coverage for Illumina-based next-generation sequencing experiments. Input your read length, number of reads, and genome size to instantly calculate the coverage depth. This tool is essential for experiment planning, ensuring adequate sequencing depth for reliable variant detection and analysis. The calculator uses the standard coverage formula: Coverage = (Read Length × Number of Reads) / Genome Size. Results are displayed clearly with explanations to help interpret the coverage value for your specific application.

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How to Use

Enter the read length in base pairs (bp)
Enter the total number of reads
Enter the genome size in base pairs (bp)
Click the 'Calculate Coverage' button
View the calculated coverage result with interpretation

Frequently Asked Questions

Find Quick Answers

What is sequencing coverage?

Sequencing coverage refers to the average number of times each base in the genome is sequenced. Higher coverage provides more reliable data for variant detection and analysis.

What read length should I use?

Typical Illumina read lengths range from 50-300 bp for single-end reads. For paired-end sequencing, multiply by 2. Use the actual read length from your sequencing platform specifications.

How do I determine genome size?

Genome size is the total length of the DNA sequence being sequenced. For human genome, use 3.2 billion bp. For other organisms, consult genomic databases or literature.

What coverage is sufficient for my experiment?

Recommended coverage varies by application: 30-50x for whole genome sequencing, 100-200x for exome sequencing, and higher for rare variant detection. Consult your experimental design guidelines.

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