Identification and analysis of SARS-CoV-2-specific T-cell receptors

Classifying the status of COVID samples and SARS-CoV2-specific TCRs

Background

T-cell receptors (TCRs) are greatly variable because of VDJ-recombination, which allows distinguishing TCR clonotypes specific to certain antigen epitopes. Latest studies reveal T-cell response in COVID-19 cases. Сertain TCRs that are targeting specific antigens of SARS-CoV-2 were also found. This project aims to identify a set of TCRs that can serve as COVID-19 biomarkers, suggest machine learning methods that can associate individual TCR repertoires with COVID-19 status and compare existing tools for TCR clustering.

The repository contains the following folders:

• sample-classifier - sample classification based on T-cell repertoire
• epitope-classifier - performance evaluation of TCR clustering methods