Fold Change Expression Calculator
Fold change summarises how much a gene's expression differs between a treatment condition and a control. Enter the expression value in each condition and this calculator returns the linear fold change, the log2 fold change used in differential-expression analysis, and the percent change. The log2 scale makes up- and down-regulation symmetric, which is why volcano plots and tools like DESeq2 and edgeR report it. Use normalised expression values for a meaningful comparison.
Fold change formula
Fold change = treatment / control
Log2 fold change = log2(treatment / control)
Percent change = (fold change - 1) * 100
Direction: up if fold change > 1, down if < 1
Fold change above 1 is up-regulation; below 1 is down-regulation. The log2 transform makes the scale symmetric so a doubling is +1 and a halving is -1. Use normalised expression values.
Using fold change
- Report log2 fold change for differential-expression analysis and volcano plots.
- Fold change measures magnitude, not significance; pair it with a statistical test.
- Use normalised counts or expression so the ratio reflects biology, not library size.
- A fold change of exactly 1 (log2 = 0) means no change between conditions.
- Very low control values inflate fold change; treat large ratios from small counts with caution.
Fold change: frequently asked questions
What is fold change in gene expression?
Fold change is the ratio of an expression measurement in a treatment or test condition to the measurement in a control or reference condition. A fold change of 2 means the gene is expressed twice as highly in the treatment; a fold change of 0.5 means half as much. It is the most common way to summarise up- or down-regulation between two conditions.
What is log2 fold change and why is it used?
Log2 fold change is the base-2 logarithm of the fold change. It makes up- and down-regulation symmetric: a 2-fold increase is +1 and a 2-fold decrease is -1, whereas as raw ratios these are 2 and 0.5. This symmetry is why differential-expression tools and volcano plots report results on the log2 scale.
How is fold change related to delta-delta Ct in qPCR?
In qPCR, the comparative method gives fold change as 2 raised to the power of negative delta-delta Ct. That is a special case of the general ratio: the normalised expression in the treatment divided by the control. If you already have normalised expression values, you can compute fold change directly as treatment over control without going through Ct values.
What does a negative log2 fold change mean?
A negative log2 fold change means the gene is down-regulated in the treatment relative to the control, because the fold change ratio is less than 1. For example, a fold change of 0.25 gives a log2 fold change of -2, indicating a 4-fold decrease. A log2 fold change of 0 means no change between conditions.
Does fold change tell me if a change is significant?
No. Fold change measures the size of the difference, not its statistical significance. A large fold change from noisy or low-count data may not be reliable. Significance requires replicates and a statistical test; fold change and a p-value are reported together, for example in a volcano plot, to judge both magnitude and confidence.
Official sources
- National Center for Biotechnology Information: NCBI gene expression analysis resources.
- National Human Genome Research Institute: NHGRI genomics education.
Reviewed by the CalculatorHub team, edited by James Graham, 17 June 2026. See our methodology.