About GSPlot
GSPlot is a web application for exploring Gene Set Enrichment Analysis (GSEA) results in an interactive 2D map. It helps turn long ranked result tables into a visual landscape where related pathways appear near each other.
Why We Built It
GSEA outputs can be difficult to interpret because many gene sets are redundant, overlapping, and statistically similar. Reading one row at a time can hide broader biological themes.
GSPlot was built to make those themes easier to find by combining significance, similarity, and interactive exploration in one place.
How GSPlot Helps
- Maps enriched gene sets into an interactive 2D view for faster interpretation.
- Supports filtering by significance so you can focus on the strongest findings.
- Helps identify related pathway groups and broader biological themes.
- Makes it easier to move from long result tables to interpretable summaries.
For step-by-step usage instructions, see the Help page.
What You Can Do With It
Upload gene inputs, run enrichment against selected gene set collections, and explore enriched pathways in an interactive graph. Each point represents a gene set, and nearby points indicate more similar biology.
You can inspect significance, compare selected pathways, and export results for downstream analysis or reporting.
Who GSPlot Is Designed For
GSPlot is designed for researchers, students, and analysts working with functional genomics data who want a more interpretable and exploratory way to review enrichment results.
Who Developed GSPlot
GSPlot is being developed by Tien Le, with research mentorship from Ozgun Babur.
About the Network Biology Laboratory at UMass Boston
The Network Biology Laboratory at the University of Massachusetts Boston studies complex molecular systems and develops computational methods that connect biological knowledge with experimental data.
Other Projects / Learn More
Explore additional projects from the lab: Network Biology Laboratory Website.