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immunarch: Multi-Modal Immune Repertoire Analytics for Immunotherapy and Vaccine Design in R
A comprehensive analytics framework for building reproducible pipelines on T-cell and B-cell immune receptor repertoire data. Delivers multi-modal immune profiling (bulk, single-cell, CITE-seq/AbSeq, spatial, immunogenicity data), feature engineering (ML-ready feature tables and matrices), and biomarker discovery workflows (cohort comparisons, longitudinal tracking, repertoire similarity, enrichment). Provides a user-friendly interface to widely used AIRR methods — clonality/diversity, V(D)J usage, similarity, annotation, tracking, and many more. Think Scanpy or Seurat, but for AIRR data, a.k.a. Adaptive Immune Receptor Repertoire, VDJ-seq, RepSeq, or VDJ sequencing data. A successor to our previously published "tcR" R package (Nazarov 2015).
Getting started
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Package details |
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| Author | Vadim I. Nazarov [aut, cre] (ORCID: <https://orcid.org/0000-0003-3659-2709>), Vasily O. Tsvetkov [aut], Aleksandr A. Popov [aut], Ivan Balashov [aut] |
| Maintainer | Vadim I. Nazarov <support@immunomind.com> |
| License | Apache License (>= 2.0) |
| Version | 0.10.3 |
| URL | https://immunomind.github.io/docs/ https://github.com/immunomind/immunarch/ https://immunarch.com/ |
| Package repository | View on CRAN |
| Installation |
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