Statistical Analysis

Box Plot & Significance Testing:
Publication-Ready Visualization

An interactive web-based box plot and significance annotation tool supporting automatic wide-to-long data reshaping, multiple statistical tests (t-test/Wilcoxon), customizable significance labels, and publication-quality black-white themes (theme_bw).

Auto Reshape

Automatically transform wide-format data to long-format (melt) without manual preprocessing. Upload your data and start analyzing immediately.

Significance Bars

Support t-test (parametric) and Wilcoxon rank-sum (non-parametric) tests. Automatic p-value calculation with significance bars and step_increase overlap prevention.

BW Theme

Classic black-and-white theme (theme_bw) with optional 90-degree X-axis label rotation to prevent overlapping, meeting journal publication requirements.

Visualization Parameters

Configure box plot and significance testing parameters

Upload Data File

Wide format (one column per sample) or long format

Plot Parameters

Significance Comparisons

Select two groups for comparison. P-values are calculated automatically with connecting lines.

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Groups
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Total N
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Comparisons
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Significant (p<0.05)

Box Plot with Significance

Statistical test: t-test

Upload a 3-column TSV file (id, Type, expression) and click Generate to create boxplot

Box (IQR)
Outliers
* p<0.05, ** p<0.01, *** p<0.001

Data Preview (Long Format)

Upload data to view
No data loaded. Please upload a file or load demo data.