CAGGTGCAGCTGGTGCAGTCTGGGGCTGAGGTGAAGAAGCCTGGGTCCTCGGTGAAGGTCTCCTGCAAGGCTTCTGGA TRBV20-1 IGHV1-69 CAGGTCACCTTGAGGGAGTCTGGTCCTGCGCTGGTGAAACCCACACAGACCCTCACACTG IGKV IGLV TRAV ACGT GATTCGAGTC QVQLVQSGAEVKKPGSSVKVSCKAS IGHV3-23*01 TRGV9*01 CAGGTTCAGCTGGTGCAGTCTGGAGCTGAGGTGAAGAAGCCTGGGGCCTCAGTGAAGGTCTCCTGCAAGGCTTCTGGA GGGGCTGAGGTG TRDV2 IGHV4-34 CAGGTGCAGCTACAGCAGTGGGGCGCAGGACTGTTGAAGCCTTCGGAG

One sequence-defined identity. Every recorded name.

immunoglobulin and T-cell receptor allele sequences. Resolve recorded names from contributing sources to one canonical germline identity. Names are labels; the sequence is identity.

Public website and REST API · no registration or API key required | open data access | tutorial

Coverage is partial. Citations arrive two ways: a source publishes them with its records, or AIRBabel mines a paper's full text and supplements. Neither is exhaustive; most of what is loaded today comes from curated sets that carry their own references. An empty result therefore means AIRBabel holds no citation linking that paper to an allele, not that the paper describes none. Treat a linked record as evidence within AIRBabel and an empty result as absence of recorded linkage.

i i i i

Partial match i

Advanced filtersactive

Functionality i Source i

Auto: allele name, UID, or a sequence; picks the best match

Try an example: allele nameIGHV1-69*01 retired nameIGKV1D-17*02 nucleotide57 nt fragment amino acid60 aa fragment publicationPMID 29163486 cross-speciesmouse IGHV5-17*01 → human

Tutorial: five worked examples → Why names are not identifiers → Guide & API →

“IGHV1-69*01” matches 5 records across 5 species — the sequences differ; pick one:

Human HUMAN-VQLNRZF6P Mouse MOUSE-V2YYMOVWL Rhesus RHESUS-VQGOY7BV3 Chicken CHICKEN-VU3XX5Q2G Gorilla GORILLA-VBLERTPJG