scirpy.ir_dist.metrics.TCRdistDistanceCalculator#
- class scirpy.ir_dist.metrics.TCRdistDistanceCalculator(cutoff=20, *, dist_weight=3, gap_penalty=4, ntrim=3, ctrim=2, fixed_gappos=True, n_jobs=1)#
Computes pairwise distances between TCR CDR3 sequences based on the “tcrdist” distance metric.
The code of this class is heavily based on pwseqdist. Reused under MIT license, Copyright (c) 2020 Andrew Fiore-Gartland.
Using default weight, gap penalty, ntrim and ctrim is equivalent to the original distance published in [DFGH+17].
- Parameters:
dist_weight (
int(default:3)) – Weight applied to the mismatch distances before summing with the gap penaltiesgap_penalty (
int(default:4)) – Distance penalty for the difference in the length of the two sequencesntrim/ctrim – Positions trimmed off the N-terminus (0) and C-terminus (L-1) ends of the peptide sequence. These symbols will be ignored in the distance calculation.
fixed_gappos (
bool(default:True)) – If True, insert gaps at a fixed position after the cysteine residue statring the CDR3 (typically position 6). If False, find the “optimal” position for inserting the gaps to make up the difference in lengthcutoff (
int(default:20)) – Will eleminate distances > cutoff to make efficient use of sparse matrices.n_jobs (
int(default:1)) – Number of jobs (processes) to use for the pairwise distance calculation
Attributes table#
Methods table#
|
Calculates the pairwise distances between two vectors of gene sequences based on the TCRdist distance metric and returns a CSR distance matrix |
Attributes#
- TCRdistDistanceCalculator.parasail_aa_alphabet = 'ARNDCQEGHILKMFPSTWYVBZX'#
- TCRdistDistanceCalculator.parasail_aa_alphabet_with_unknown = 'ARNDCQEGHILKMFPSTWYVBZX*'#
- TCRdistDistanceCalculator.tcr_dict_distance_matrix = {('A', 'A'): 0, ('A', 'C'): 4, ('A', 'D'): 4, ('A', 'E'): 4, ('A', 'F'): 4, ('A', 'G'): 4, ('A', 'H'): 4, ('A', 'I'): 4, ('A', 'K'): 4, ('A', 'L'): 4, ('A', 'M'): 4, ('A', 'N'): 4, ('A', 'P'): 4, ('A', 'Q'): 4, ('A', 'R'): 4, ('A', 'S'): 3, ('A', 'T'): 4, ('A', 'V'): 4, ('A', 'W'): 4, ('A', 'Y'): 4, ('C', 'A'): 4, ('C', 'C'): 0, ('C', 'D'): 4, ('C', 'E'): 4, ('C', 'F'): 4, ('C', 'G'): 4, ('C', 'H'): 4, ('C', 'I'): 4, ('C', 'K'): 4, ('C', 'L'): 4, ('C', 'M'): 4, ('C', 'N'): 4, ('C', 'P'): 4, ('C', 'Q'): 4, ('C', 'R'): 4, ('C', 'S'): 4, ('C', 'T'): 4, ('C', 'V'): 4, ('C', 'W'): 4, ('C', 'Y'): 4, ('D', 'A'): 4, ('D', 'C'): 4, ('D', 'D'): 0, ('D', 'E'): 2, ('D', 'F'): 4, ('D', 'G'): 4, ('D', 'H'): 4, ('D', 'I'): 4, ('D', 'K'): 4, ('D', 'L'): 4, ('D', 'M'): 4, ('D', 'N'): 3, ('D', 'P'): 4, ('D', 'Q'): 4, ('D', 'R'): 4, ('D', 'S'): 4, ('D', 'T'): 4, ('D', 'V'): 4, ('D', 'W'): 4, ('D', 'Y'): 4, ('E', 'A'): 4, ('E', 'C'): 4, ('E', 'D'): 2, ('E', 'E'): 0, ('E', 'F'): 4, ('E', 'G'): 4, ('E', 'H'): 4, ('E', 'I'): 4, ('E', 'K'): 3, ('E', 'L'): 4, ('E', 'M'): 4, ('E', 'N'): 4, ('E', 'P'): 4, ('E', 'Q'): 2, ('E', 'R'): 4, ('E', 'S'): 4, ('E', 'T'): 4, ('E', 'V'): 4, ('E', 'W'): 4, ('E', 'Y'): 4, ('F', 'A'): 4, ('F', 'C'): 4, ('F', 'D'): 4, ('F', 'E'): 4, ('F', 'F'): 0, ('F', 'G'): 4, ('F', 'H'): 4, ('F', 'I'): 4, ('F', 'K'): 4, ('F', 'L'): 4, ('F', 'M'): 4, ('F', 'N'): 4, ('F', 'P'): 4, ('F', 'Q'): 4, ('F', 'R'): 4, ('F', 'S'): 4, ('F', 'T'): 4, ('F', 'V'): 4, ('F', 'W'): 3, ('F', 'Y'): 1, ('G', 'A'): 4, ('G', 'C'): 4, ('G', 'D'): 4, ('G', 'E'): 4, ('G', 'F'): 4, ('G', 'G'): 0, ('G', 'H'): 4, ('G', 'I'): 4, ('G', 'K'): 4, ('G', 'L'): 4, ('G', 'M'): 4, ('G', 'N'): 4, ('G', 'P'): 4, ('G', 'Q'): 4, ('G', 'R'): 4, ('G', 'S'): 4, ('G', 'T'): 4, ('G', 'V'): 4, ('G', 'W'): 4, ('G', 'Y'): 4, ('H', 'A'): 4, ('H', 'C'): 4, ('H', 'D'): 4, ('H', 'E'): 4, ('H', 'F'): 4, ('H', 'G'): 4, ('H', 'H'): 0, ('H', 'I'): 4, ('H', 'K'): 4, ('H', 'L'): 4, ('H', 'M'): 4, ('H', 'N'): 3, ('H', 'P'): 4, ('H', 'Q'): 4, ('H', 'R'): 4, ('H', 'S'): 4, ('H', 'T'): 4, ('H', 'V'): 4, ('H', 'W'): 4, ('H', 'Y'): 2, ('I', 'A'): 4, ('I', 'C'): 4, ('I', 'D'): 4, ('I', 'E'): 4, ('I', 'F'): 4, ('I', 'G'): 4, ('I', 'H'): 4, ('I', 'I'): 0, ('I', 'K'): 4, ('I', 'L'): 2, ('I', 'M'): 3, ('I', 'N'): 4, ('I', 'P'): 4, ('I', 'Q'): 4, ('I', 'R'): 4, ('I', 'S'): 4, ('I', 'T'): 4, ('I', 'V'): 1, ('I', 'W'): 4, ('I', 'Y'): 4, ('K', 'A'): 4, ('K', 'C'): 4, ('K', 'D'): 4, ('K', 'E'): 3, ('K', 'F'): 4, ('K', 'G'): 4, ('K', 'H'): 4, ('K', 'I'): 4, ('K', 'K'): 0, ('K', 'L'): 4, ('K', 'M'): 4, ('K', 'N'): 4, ('K', 'P'): 4, ('K', 'Q'): 3, ('K', 'R'): 2, ('K', 'S'): 4, ('K', 'T'): 4, ('K', 'V'): 4, ('K', 'W'): 4, ('K', 'Y'): 4, ('L', 'A'): 4, ('L', 'C'): 4, ('L', 'D'): 4, ('L', 'E'): 4, ('L', 'F'): 4, ('L', 'G'): 4, ('L', 'H'): 4, ('L', 'I'): 2, ('L', 'K'): 4, ('L', 'L'): 0, ('L', 'M'): 2, ('L', 'N'): 4, ('L', 'P'): 4, ('L', 'Q'): 4, ('L', 'R'): 4, ('L', 'S'): 4, ('L', 'T'): 4, ('L', 'V'): 3, ('L', 'W'): 4, ('L', 'Y'): 4, ('M', 'A'): 4, ('M', 'C'): 4, ('M', 'D'): 4, ('M', 'E'): 4, ('M', 'F'): 4, ('M', 'G'): 4, ('M', 'H'): 4, ('M', 'I'): 3, ('M', 'K'): 4, ('M', 'L'): 2, ('M', 'M'): 0, ('M', 'N'): 4, ('M', 'P'): 4, ('M', 'Q'): 4, ('M', 'R'): 4, ('M', 'S'): 4, ('M', 'T'): 4, ('M', 'V'): 3, ('M', 'W'): 4, ('M', 'Y'): 4, ('N', 'A'): 4, ('N', 'C'): 4, ('N', 'D'): 3, ('N', 'E'): 4, ('N', 'F'): 4, ('N', 'G'): 4, ('N', 'H'): 3, ('N', 'I'): 4, ('N', 'K'): 4, ('N', 'L'): 4, ('N', 'M'): 4, ('N', 'N'): 0, ('N', 'P'): 4, ('N', 'Q'): 4, ('N', 'R'): 4, ('N', 'S'): 3, ('N', 'T'): 4, ('N', 'V'): 4, ('N', 'W'): 4, ('N', 'Y'): 4, ('P', 'A'): 4, ('P', 'C'): 4, ('P', 'D'): 4, ('P', 'E'): 4, ('P', 'F'): 4, ('P', 'G'): 4, ('P', 'H'): 4, ('P', 'I'): 4, ('P', 'K'): 4, ('P', 'L'): 4, ('P', 'M'): 4, ('P', 'N'): 4, ('P', 'P'): 0, ('P', 'Q'): 4, ('P', 'R'): 4, ('P', 'S'): 4, ('P', 'T'): 4, ('P', 'V'): 4, ('P', 'W'): 4, ('P', 'Y'): 4, ('Q', 'A'): 4, ('Q', 'C'): 4, ('Q', 'D'): 4, ('Q', 'E'): 2, ('Q', 'F'): 4, ('Q', 'G'): 4, ('Q', 'H'): 4, ('Q', 'I'): 4, ('Q', 'K'): 3, ('Q', 'L'): 4, ('Q', 'M'): 4, ('Q', 'N'): 4, ('Q', 'P'): 4, ('Q', 'Q'): 0, ('Q', 'R'): 3, ('Q', 'S'): 4, ('Q', 'T'): 4, ('Q', 'V'): 4, ('Q', 'W'): 4, ('Q', 'Y'): 4, ('R', 'A'): 4, ('R', 'C'): 4, ('R', 'D'): 4, ('R', 'E'): 4, ('R', 'F'): 4, ('R', 'G'): 4, ('R', 'H'): 4, ('R', 'I'): 4, ('R', 'K'): 2, ('R', 'L'): 4, ('R', 'M'): 4, ('R', 'N'): 4, ('R', 'P'): 4, ('R', 'Q'): 3, ('R', 'R'): 0, ('R', 'S'): 4, ('R', 'T'): 4, ('R', 'V'): 4, ('R', 'W'): 4, ('R', 'Y'): 4, ('S', 'A'): 3, ('S', 'C'): 4, ('S', 'D'): 4, ('S', 'E'): 4, ('S', 'F'): 4, ('S', 'G'): 4, ('S', 'H'): 4, ('S', 'I'): 4, ('S', 'K'): 4, ('S', 'L'): 4, ('S', 'M'): 4, ('S', 'N'): 3, ('S', 'P'): 4, ('S', 'Q'): 4, ('S', 'R'): 4, ('S', 'S'): 0, ('S', 'T'): 3, ('S', 'V'): 4, ('S', 'W'): 4, ('S', 'Y'): 4, ('T', 'A'): 4, ('T', 'C'): 4, ('T', 'D'): 4, ('T', 'E'): 4, ('T', 'F'): 4, ('T', 'G'): 4, ('T', 'H'): 4, ('T', 'I'): 4, ('T', 'K'): 4, ('T', 'L'): 4, ('T', 'M'): 4, ('T', 'N'): 4, ('T', 'P'): 4, ('T', 'Q'): 4, ('T', 'R'): 4, ('T', 'S'): 3, ('T', 'T'): 0, ('T', 'V'): 4, ('T', 'W'): 4, ('T', 'Y'): 4, ('V', 'A'): 4, ('V', 'C'): 4, ('V', 'D'): 4, ('V', 'E'): 4, ('V', 'F'): 4, ('V', 'G'): 4, ('V', 'H'): 4, ('V', 'I'): 1, ('V', 'K'): 4, ('V', 'L'): 3, ('V', 'M'): 3, ('V', 'N'): 4, ('V', 'P'): 4, ('V', 'Q'): 4, ('V', 'R'): 4, ('V', 'S'): 4, ('V', 'T'): 4, ('V', 'V'): 0, ('V', 'W'): 4, ('V', 'Y'): 4, ('W', 'A'): 4, ('W', 'C'): 4, ('W', 'D'): 4, ('W', 'E'): 4, ('W', 'F'): 3, ('W', 'G'): 4, ('W', 'H'): 4, ('W', 'I'): 4, ('W', 'K'): 4, ('W', 'L'): 4, ('W', 'M'): 4, ('W', 'N'): 4, ('W', 'P'): 4, ('W', 'Q'): 4, ('W', 'R'): 4, ('W', 'S'): 4, ('W', 'T'): 4, ('W', 'V'): 4, ('W', 'W'): 0, ('W', 'Y'): 2, ('Y', 'A'): 4, ('Y', 'C'): 4, ('Y', 'D'): 4, ('Y', 'E'): 4, ('Y', 'F'): 1, ('Y', 'G'): 4, ('Y', 'H'): 2, ('Y', 'I'): 4, ('Y', 'K'): 4, ('Y', 'L'): 4, ('Y', 'M'): 4, ('Y', 'N'): 4, ('Y', 'P'): 4, ('Y', 'Q'): 4, ('Y', 'R'): 4, ('Y', 'S'): 4, ('Y', 'T'): 4, ('Y', 'V'): 4, ('Y', 'W'): 2, ('Y', 'Y'): 0}#
- TCRdistDistanceCalculator.tcr_nb_distance_matrix = array([[0, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 0, 0, 0, 0], [4, 0, 4, 4, 4, 3, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0], [4, 4, 0, 3, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 4, 0, 0, 0, 0], [4, 4, 3, 0, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0], [4, 4, 4, 4, 0, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0], [4, 3, 4, 4, 4, 0, 2, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0], [4, 4, 4, 2, 4, 2, 0, 4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 0, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0], [4, 4, 3, 4, 4, 4, 4, 4, 0, 4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 2, 4, 3, 4, 4, 4, 4, 4, 4, 1, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 2, 0, 4, 2, 4, 4, 4, 4, 4, 4, 3, 0, 0, 0, 0], [4, 2, 4, 4, 4, 3, 3, 4, 4, 4, 4, 0, 4, 4, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 2, 4, 0, 4, 4, 4, 4, 4, 4, 3, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 4, 4, 4, 3, 1, 4, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 4, 4, 4, 4, 4, 0, 0, 0, 0], [3, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 0, 3, 4, 4, 4, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 0, 4, 4, 4, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 3, 4, 4, 4, 0, 2, 4, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 2, 4, 4, 4, 4, 1, 4, 4, 4, 2, 0, 4, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 1, 3, 4, 3, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], dtype=int32)#
Methods#
- TCRdistDistanceCalculator.calc_dist_mat(seqs, seqs2=None)#
Calculates the pairwise distances between two vectors of gene sequences based on the TCRdist distance metric and returns a CSR distance matrix
- Return type: