Abstract
We have developed a suite of tools for integrated analysis of T-Cell-Receptor Sequencing data to define and track alloreactive T-cells in human transplant studies. This has enabled discovery of sequences and patterns of T-cell enrichment and deletion associated with clinical outcomes such as transplant rejection and tolerance. The codebase includes user-friendly default analyses with customizable parameters which greatly accelerate computational workflows and provide robust statistics comparing post-transplant specimens to pre-transplant baseline. It also includes helper functions for robust characterization of T-cell-repertoire diversity, sample-to-sample divergence, resolution of sample-of-origin ambiguity in pooled assays, and functions to output all sequences defined as alloreactive.