quick help

ImmuneSpace is the central database and analysis engine of the Human Immunology Project Consortium (HIPC) funded by the National Institute of Allergy and Infectious Diseases (NIAID). It can be used to find and explore studies, integrate and analyze data across assays, and perform custom analyses leveraging the R statistical language. To support the wide range of immunological experiments, ImmuneSpace is taking advantage of the considerable infrastructure already developed as part of the NIAID Immunology Database and Analysis Portal (ImmPort) system. You can find out more about ImmuneSpace and HIPC by visiting the About tab.

Periodic outages over next 24 hours for Maintenance and Data Upload 2019-08-13

During the next 24 hours the ImmuneSpace team will be performing some maintenance and upgrades to our system. This will require shutting down our servers for short periods of time. We thank you for your patience and will let you know when the updates are finished.

New ImmuneSpace servers operational - please advise about any issues / bugs 2019-07-26

The new ImmuneSpace servers are up and running. If you find that you are having any issues or are missing any saved data (e.g. participant groups) please let us know as soon as possible as we will be deleting the old server instances at the end of next week. You can email us at immunespace@gmail.com.

Immunespace down for maintenance - Thursday July 25 to Friday July 26 2019-07-24

Immunespace will be down for maintenance tomorrow and Friday as the application is being migrated to a new set of servers. Your user information should not be affected by this outage. Thank you for your patience and please contact us at immunespace@gmail.com if you have any questions or concerns.

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.