Fig. 1: Schematic illustration of GIANA. | Nature Communications

Fig. 1: Schematic illustration of GIANA.

From: GIANA allows computationally-efficient TCR clustering and multi-disease repertoire classification by isometric transformation

Fig. 1

GIANA workflow. GIANA began with encoding of short CDR3 peptide sequences into numeric vectors through a sequence of unitary transformations. The transformation involves an element of 6th order cyclic group. After encoding, each CDR3 sequence was projected to high-dimensional Euclidean space, allowing fast nearest neighbor search for clustering. Follow-up filtering steps were performed to match the TRBV gene alleles and remove pairs with low alignment scores.

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