Enrichment Plot Generator
Create Enrichment Plot Generator from experimental or research data
Make GO biological process enrichment from CSV or Excel with Enrichment Plot Generator. Includes Python rendering, SciVis editing, and publication-ready export.
Enrichment Plot Generator examples with downloadable data
Open an example to inspect the chart, download its CSV, or load the same data into the generator above.
What does Enrichment Plot Generator show?
Enrichment Plot Generator turns structured research data into the statistical form this chart is designed to show. Use it for GO biological process enrichment, KEGG pathway enrichment, and related analyses; Python creates the first reproducible chart and SciVis handles visual refinement.
Data requirements for Enrichment Plot Generator
- Representative fields: term, source, gene_ratio, gene_count, adjusted_p, neg_log10_adjusted_p.
- Keep one observation, category, time point, or valid pair per row.
- Store measured values as numbers and put units in the column header.
- Treat blanks as missing values and remove totals or notes before upload.
Research examples for Enrichment Plot Generator
- GO biological process enrichment
- KEGG pathway enrichment
- GSEA running enrichment score
- Disease ontology enrichment
- Cell-type marker enrichment
- Transcription factor target enrichment
Why use Enrichment Plot Generator for research data?
- Validate the data mapping with the included GO biological process enrichment example before replacing its values.
- Apply the same visual grammar to KEGG pathway enrichment or a comparable dataset.
- Use Python-backed rendering without having to write or debug plotting code.
- Keep the generated values intact while refining labels, colors, and export in SciVis.
How to use Enrichment Plot Generator
Choose an example or upload one CSV, TSV, TXT, XLSX, or XLS file, check the detected columns, generate the chart, and continue editing it in SciVis. For Excel files, the first worksheet is imported.
What a clear Enrichment Plot Generator should include
- Axes, groups, or nodes mapped consistently from term, source, gene_ratio, gene_count, adjusted_p, neg_log10_adjusted_p.
- A title that states the outcome or comparison shown by the Enrichment Plot Generator.
- Readable labels, units, legends, and reference lines where the method requires them.
- A restrained color system and sufficient resolution for papers, posters, or slides.
Enrichment Plot Generator or Bubble Chart Maker?
Choose Enrichment Plot Generator when its statistical structure matches the question and columns in your dataset. Use Bubble Chart Maker when that alternative comparison is the main analytical goal; keeping the chart types separate avoids a misleading visual encoding.
Enrichment Plot Generator FAQ
Which columns does Enrichment Plot Generator need?
The included CSV shows the expected structure. Representative fields are term, source, gene_ratio, gene_count, adjusted_p, neg_log10_adjusted_p; equivalent column names are accepted when their values have the same roles.
When should I use Enrichment Plot Generator instead of Bubble Chart Maker?
Use Enrichment Plot Generator when you want the relationship it is specifically designed to encode. Choose Bubble Chart Maker when its alternative comparison better matches the research question.
Can I edit a figure after creating it with Enrichment Plot Generator?
Yes. Open the figure generated with Enrichment Plot Generator in SciVis to change labels, colors, annotations, layout, and other visual settings.
Can I use figures from Enrichment Plot Generator in a research paper?
Yes. Enrichment Plot Generator is designed to produce clean, publication-ready scientific figures. Always verify values and journal requirements before submission.
Can Enrichment Plot Generator export high-resolution figures?
Yes. After editing a Enrichment Plot Generator figure in SciVis, you can export it in formats suitable for papers, posters, slides, and reports.
Do I need coding experience to use Enrichment Plot Generator?
No. Enrichment Plot Generator creates the first version through a guided upload workflow, while SciVis provides visual controls for refinements.
Learn how to use Enrichment Plot Generator with research data
Review chart selection, required data columns, interpretation, and related scientific visualization workflows before preparing your final figure.
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Try it freeCreate a figure with Enrichment Plot Generator
Start with sample data or upload one supported data file, then finish the figure in SciVis.
