Process raw peptidomic search results, or bring in data that is already annotated with functional information, then organize, analyze, and visualize your dataset to surface insight and generate publication-ready figures.
Tools
Three integrated modules
Each tool builds on the last: organize your data once, then analyze and visualize it as many ways as you need.
Data Transformation
Organize peptidomic data, whether raw search results or data already annotated with functional information, and prepare it for analysis.
- Multi-dataset import and merge
- Functional annotation, including MBPDB and custom reference sets
- Study variable and group assignment
- Thirteen exportable file types, from merged data to correlations and protein maps
Data Analysis
Descriptive and correlative analysis of your dataset, with statistical significance testing to compare sample groups.
- Grouped, stacked, pie, and correlation scatter plots
- Replicate-based error bars and ANOVA/Tukey HSD or Welch/Games-Howell significance testing
- Adjustable scaling and orientation
- Customizable color palettes, titles, and axis and legend labels
Heatmap Visualization
Map peptide abundance and counts onto protein sequences to reveal site-specific and functional hotspots, with statistical comparison between groups.
- Site-specific peptide abundance and count mapping
- Differential comparison (standardized mean difference or log2 fold-change) between groups or protein variants
- Landscape, portrait, and compact layouts
Visualizations
Explore plot types
Every plot is interactive and exportable. Click any example to view it full size.
Statistical comparison
Compare groups with statistical rigor
Significance testing and differential effect-size views for comparing sample groups.
Scaling & orientation
Adjust how abundance is represented
The same dataset, viewed as absolute totals or relative contributions.
Ready to analyze your data?
Start with Data Transformation to organize and annotate your peptidomic dataset.