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The EPIC web portal and its associated database and analytic tools will be made available for investigation as described in the manuscript to researchers who do not belong to a for-profit entity.
The web applications Sci-Atlas Miner and Discovery Tool can be freely accessed on all modern web browsers at https://www.epicimmuneatlas.org. The source code of the R Shiny applications and R scripts for the creation of Immune Atlas data files are available on request for academic use.
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This research is supported by the National Research Foundation Singapore under its NMRC Centre Grant Programme (NMRC/CG/M003/2017) and administered by the Singapore Ministry of Health’s National Medical Research Council. Other grant support from NMRC (NMRC/TA/0059/2017, NMRC/STaR/020/2013, NMRC/MOHIAFCAT2/2/08, MOHIAFCAT2/0001/2014, NMRC MOHIAFCAT1-6003, TCR15Jun006, NMRC/CIRG/ 1460/2016, MH 095:003\016-0002), Duke-NUS, A*STAR-BMRC (IAF311020) and BMRC (SPF2014/005) is gratefully acknowledged. The pediatric patients were recruited with the strong support of Yew Nam Siow and the Department of Anaesthesia, KK Women’s and Children’s Hospital. Testing of EPIC and feedback by Antonio La Cava, Femke van Wijk, Eveline Delemarre, Antonio Bertoletti, Michelle Hong Li Wen, Matthew Kirkey and Rosa Bacchetta are greatly appreciated. We also acknowledge Loshinidevi Thana Bathi for processing the large number of samples used in EPIC.
The authors declare no competing interests.
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Yeo, J.G., Wasser, M., Kumar, P. et al. The Extended Polydimensional Immunome Characterization (EPIC) web-based reference and discovery tool for cytometry data. Nat Biotechnol 38, 679–684 (2020). https://doi.org/10.1038/s41587-020-0532-1
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