Visualizations

How it works

Attach or reference the relevant data, then describe the figure you want. Purna can create simple inline charts or use Code Execution for custom plots, statistics, and publication-style figures.

Examples:

"Create a volcano plot from @deseq2_results.csv."
"Make a heatmap of the top 50 variable genes in @expression_matrix.tsv."
"Show a bar chart comparing pathway enrichment scores."
"Plot the distribution of allele frequencies in this table."
"Create a multi-panel figure from these QC metrics."

Supported chart types

Chart type	Best for
Bar / horizontal bar	Comparing categories and ranked values
Line / area	Trends, trajectories, and ordered data
Scatter	Relationships between two variables
Pie / donut	Simple proportions
Heatmap	Matrix-style expression or feature intensity data
Volcano plot	Differential expression or effect-size analysis
Custom figures	Multi-panel scientific figures through code execution

Adjusting charts

After Purna generates a chart, ask it to modify the output in the same conversation:

Change the chart type: “Make this a horizontal bar chart instead”

Update colors: “Use a colorblind-safe palette”

Add or remove data: “Include only adjusted p-value < 0.05”

Change labels or titles: “Rename the y-axis to log2 fold change”

Export the result: “Save this as an SVG and PNG”

Use simple inline charts for quick summaries. Use Code Execution when you need heatmaps, volcano plots, multi-panel figures, statistical annotations, or precise figure formatting.

Getting started

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Visualizations

How it works

Supported chart types

Adjusting charts

​How it works

​Supported chart types

​Adjusting charts

How it works

Supported chart types

Adjusting charts