TCRex (server back end)

TCRex is a web tool for the prediction of TCR–epitope recognition. It can predict TCR–epitope binding for human T cell receptors (TCRs) using TCR beta chain information, i.e. the CDR3 amino acid sequence and the corresponding V/J genes, using random forest classifiers as the underlying models.

This project was a large-scale team effort, and my personal contributions were mainly made to the back end development and server side deployment via containerization.

For the associated publication, see:

Detection of Enriched T Cell Epitope Specificity in Full T Cell Receptor Sequence Repertoires. Sofie Gielis, Pieter Moris, Wout Bittremieux, Nicolas De Neuter, Benson Ogunjimi, Kris Laukens, Pieter Meysman. Frontiers in Immunology, 2019. ( doi:10.3389/fimmu.2019.02820 )