Probabilistic immune-receptor histories
Research context
postgraduate concept · conditional · As of 2026-10-10
IGoR infers generative V(D)J models by considering alternative gene choices, deletions and insertions for each receptor sequence.
Key knowledge
IGoR infers generative V(D)J models by considering alternative gene choices, deletions and insertions for each receptor sequence. Several recombination histories can generate the same sequence; a single best annotation does not uniquely reconstruct its history.
Conditions and scope
- Generation models are distinct from antigen-driven selection and binding specificity; productive/nonproductive sampling and error models affect inferred distributions.
Sources · 1
References
Sources retain their recorded scope. A source link alone does not establish verification of every statement.
Evidence and review
High-throughput immune repertoire analysis with IGoR: Results/methods: probabilistic recombination histories, generative inference and identifiability (extracted full original paper sections)
2026-10-10 · Bounded author source inspection of probabilistic immune-receptor histories, including the stated conditions; independent branch review is recorded separately.
Entry details
Permanent link to this entry ↗- Record identity
- res-bio-vdj-generative
- Revision
- research.1
- Structured reference record
- Postgraduate & research reference