Publications

The Extended Polydimensional Immunome Characterization (EPIC) web-based reference and discovery tool for cytometry data

Yeo, J.G., Wasser, M., Albani, S.

The proliferation of single-cell datasets from mass cytometry has driven the need for an open registry capable of hosting data from different laboratories, correcting for batch effects, and interrogating a broad array of markers that can aid in inferring the underlying mechanistic significance of cell subsets identified under certain conditions. Here, we present EPIC (https://epicimmuneatlas.org), a web-based analytical and discovery platform for hosting and analyzing mass cytometry data from immune cells in a standardized manner. Upon request for access, a unique user identifier and password will be assigned to each investigator. A file-based user and password authentication system is used and passwords are encrypted for further protection. The platform provides a pipeline for the construction of immune maps that integrate thematically grouped mass cytometry data with clustering outputs, cell-type annotations, demographic metadata and predictive models to facilitate multidimensional data analysis

Citation

Yeo, J.G., Wasser, M., Albani, S. "The Extended Polydimensional Immunome Characterization (EPIC) web-based reference and discovery tool for cytometry data" Nature Biotechnology (2020): 679–684