A Bayesian Framework for High-throughput T Cell Receptor Pairing
The study of T cell receptor repertoires has generated new insights into immune system recognition. However, the ability to robustly characterize these populations has been limited by technical barriers and an inability to reliably infer heterodimeric chain pairings for T cell receptors. We describe a novel analytical approach to an emerging immune repertoire sequencing method, improving the resolving power of this low-cost technology. With this advance, we intend to leverage its scalability as a scientific and diagnostic tool.