ISALGO
Immunosequencing Algorithms Laboratory
Algorithms, curated data and structural models for adaptive immunity.
Laboratory / Software / Datasets / VDJdb
We study how immune receptors recognise antigens. Our work connects repertoire sequencing, antigen-specificity annotation and TCR–peptide–MHC structure, with applications in infection, vaccination and cancer immunotherapy.
Read the repertoire. Map receptor genes, resolve sequencing errors and analyse T- and B-cell receptor diversity.
Connect receptors to targets. Curate experimentally characterised T-cell receptors and develop methods for specificity annotation.
Model recognition. Study receptor–peptide–MHC interactions and peptide immunogenicity to inform neoantigen research.
| Resource | Research use |
|---|---|
| VDJdb | Curated T-cell receptors with known antigen specificity |
| VDJmatch | Match repertoires against antigen-specificity references |
| TCRen | Structure-based modelling of TCR–pMHC recognition |
| MHCmatch | MHC binding prediction and peptide mimic search |
| VDJtools | Immune-repertoire analysis |
| mir.py | Machine learning for immune repertoires |
| arda | Receptor gene mapping and domain annotation |
| MIGEC | Molecular-identifier-based sequencing workflows |
Explore our Hugging Face datasets for repertoire analysis and structural immunology. Each repository provides its own scope, provenance and terms of use; follow its dataset card when selecting inputs for research.
Led by Dr. Shugay, ISALGO develops computational methods at the interface of immunology and data science. Find the team, research directions and selected publications on isalgo.dev.
For software questions and contributions, use the relevant AntigenOmics repository. For research enquiries, contact the laboratory.