A powerful and flexible platform for data analysis


ImmuneSpace provides multiple ways to interact with, visualize and analyze data. A set of standardized modules – available under the Modules tab within each study – can be used to explore datasets and perform specific analyses. Some studies might also have additional analyses/reports available under the Reports tab. Most of these reports perform and summarize standardized analyses, but some perform analyses that are tailored to specific studies. A few examples of such modules/analyses are listed below:

All of the analyses make use of the R statistical language, leverage Rserve to improve performance and knitr to enable full reproducibility. If you want to learn more about the computational tools developed as part of HIPC (and associated efforts), please visit the Tools page.

Getting started: You first task will be to identify a study you would like to explore, and this can easily be done using the built-in Data Finder. You can then use the built-in study tools and modules to learn more about the selected study, explore, visualize and export specific data sets, and perform standardized analyses. For more detailed instructions please visit the Tutorials page. If you have any questions or need any help, please visit the support page.

You can also easily interact with ImmuneSpace and download data via R using the ImmuneSpaceR package, again, please visit the Tools page for more details.