We integrate cutting-edge computational approaches with experimental immunology to unravel the complexities of the adaptive immune system. Our work spans cancer, organ transplantation, autoimmunity, and infectious diseases.
Research Focus Areas
| Area | Description |
|---|---|
| Immune Receptor Profiling | Decoding B and T cell receptor diversity and specificity |
| Algorithm Development | Novel tools for immune repertoire analysis and clonotype characterization |
| MHC Mismatch Analysis | Predicting and mitigating immunogenicity in transplantation |
| Translational Applications | Biomarker discovery and personalized immunotherapy |
Single-cell immune repertoire analysis toolkit | Gene set enrichment for single-cell data |
Deep learning for T cell receptor embedding | Deep learning for B cell receptor embedding |
Immune receptor machine learning utilities |
| Package | Description | Status |
|---|---|---|
| immReferent | Reference-based immune analysis |  |
| immLynx | Bridging R and Python for immune receptor analyses | |
| immGLIPH | R-implementation of GLIPH algorithm | |
| bHIVE | B cell repertoire analysis | |
| deepMatchR | Tools for Clinical HLA testing | |
New to our tools? Start here:
# Install scRepertoire from Bioconductorif (!require("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("scRepertoire")
# Load and explore
library(scRepertoire)
vignette("scRepertoire")Full documentation: borch.dev
Interested in collaboration or have questions about our tools?
Pushing the boundaries of computational immunology to improve human health