Benefits and Features
- Use a single software specifically designed for flow cytometry data
- Eliminate wading through Excel spreadsheets
- Simplify analysis for large and complex data sets
- Discover qualitative patterns within your data sets
- Select analytical roles for each of your experimental variables using drop-down menus
- Create simple views of complex data sets for publication
- Use formatting palettes to customize your graphs for reports or presentations
- Save your data views for comparison and review
Multicolor flow cytometry experiments generate vast amounts of complex data and require sophisticated software for their evaluation. SPICE is a data-mining software application that analyzes large FLOWJO data sets from polychromatic flow cytometry and organizes the normalized data graphically. SPICE enables users to discover potential correlations in their experimental data within complex data sets. Many potential applications for SPICE exist: the software can be used to analyze any multivariate data set for which a series of nominal measurements and a single continuous measurement is available.
This software is provided free of charge by NIAID.
SPICE was developed by the NIAID Office of Cyber Infrastructure and Computational Biology, Bioinformatics and Computational Biosciences Branch in collaboration with Dr. Mario Roederer, senior investigator of the ImmunoTechnology Section (ITS) of the NIAID Vaccine Research Center. SPICE is currently used in the ITS lab to reveal relationships among numerous T-cell immune responses resulting from vaccine challenges.