SPiDR Desktop application.

Standalone desktop installer with bundled runtime — no additional software required. Currently in development; downloads will be available at launch.

Status In development Windows · macOS planned
Windows
Coming soon
Windows 10+ · 64-bit · .exe installer
Will include the full SPiDR application and all required runtimes. No additional installs needed.
macOS
Coming soon
Apple Silicon & Intel · planned
macOS build is planned for a future release. Sign up to be notified when it becomes available.

Manual & training datasets.

The user manual and training datasets will be made available at launch. Use the contact form to be notified.

Status In preparation Available at launch
User manual
01
SPiDR User Manual (v1)
PDF 15 chapters · Complete reference for all modules
Training datasets
All datasets bundled Will be available as a single archive at launch.
01
Data replicate averaging
CSV Raw data with duplicates for averaging, QC, and background subtraction
02
Data renaming & merging
CSV Same Sample ID across sheets — merging and renaming measurement columns
03
Univariate analysis
CSV Processed data for univariate boxplot, heatmap, and volcano plots
04
Venn diagram
CSV Processed data for Venn / Euler diagrams
05
Multivariate analysis
CSV PCA & PLS-DA / PLS-DA sweep & PLS-R / PLS-R sweep (vs. MN titer, column start = 7)
06
Correlation analysis & visualization
CSV Processed data for constellation correlation and chord diagram
07
Neutralization titer calculation
CSV Serum neutralization raw RFU across dilutions · also applicable to PK/PD or any dynamic IC50

Methods templates.

Publication/reporting-ready methods text describing the statistical workflow SPiDR performs. These will be made available at launch.

Status In preparation Available at launch
01
Methods templates — all modules
DOCX Editable Word document · ready to drop into a manuscript or report
02
Methods templates — all modules
PDF Read-only reference version of the same content

The methods templates are free to all and serve as learning materials for students writing the methods section for biostatistical analysis in their manuscripts.