DextraDemixer is a Python package for identifying antigen-specific T cells from pMHC multimer experiments.
The package implements the mixture model described in DextraDemixer enables accurate identification of antigen-specific T cells from pMHC multimer experiments link
DextraDemixer models pMHC multimer UMI counts to distinguish antigen-specific binders from nonspecific binders, enabling more accurate identification of T cells recognizing specific peptide–MHC targets.
DextraDemixer is under active development. We are continuously improving the usability, documentation, and functionality of the package. Feedback and contributions are welcome.
Please execute the following to install DextraDemixer:
git clone git@github.com:SchubertLab/DextraDemixer.git
cd DextraDemixer
conda env create -f environment.yamlA tutorial can be found in Tutorial.ipynb.
If you found this tool helpful for your research, please cite:
@article {An2026DextraDemixer,
author = {An, Yang and Drost, Felix and Bonafonte-Pard{\`a}s, Irene and Grotz, Myriam and Schober, Kilian and Schubert, Benjamin},
title = {DextraDemixer enables accurate identification of antigen-specific T cells from pMHC multimer experiments},
elocation-id = {2026.06.23.733339},
year = {2026},
doi = {10.64898/2026.06.23.733339},
publisher = {Cold Spring Harbor Laboratory},
URL = {https://www.biorxiv.org/content/early/2026/06/25/2026.06.23.733339},
journal = {bioRxiv}
}