smftools.preprocessing.append_sequence_mismatch_annotations#
- smftools.preprocessing.append_sequence_mismatch_annotations(adata, seq1_column, seq2_column, output_prefix=None, match_score=1, mismatch_score=-1, gap_score=-2, ignore_n=True, bypass=False, force_redo=False, uns_flag='append_sequence_mismatch_annotations_performed')#
Append mismatch annotations by aligning full reference sequences.
Extracts the full reference sequences from per-position base columns in
adata.var, performs a single global alignment, and maps mismatches (substitutions, insertions, deletions) back toadata.varindices.- Results stored in
adata.var: {prefix}_mismatch_type: Per-position str —"substitution","insertion","deletion", or""(no mismatch).{prefix}_mismatch_identity: Per-position str — e.g."A->G","ins:T","del:C", or"").{prefix}_is_mismatch: Per-position bool flag.
- Parameters:
adata (
AnnData) -- AnnData object.seq1_column (
str) -- Column inadata.varwith per-position bases for reference 1.seq2_column (
str) -- Column inadata.varwith per-position bases for reference 2.output_prefix (
str|None(default:None)) -- Prefix for output columns. Defaults to{seq1_column}__{seq2_column}.match_score (
int(default:1)) -- Alignment match score.mismatch_score (
int(default:-1)) -- Alignment mismatch score.gap_score (
int(default:-2)) -- Alignment gap score.ignore_n (
bool(default:True)) -- Whether to ignore mismatches involvingNbases.bypass (
bool(default:False)) -- Whether to skip processing.force_redo (
bool(default:False)) -- Whether to rerun even ifuns_flagis set.uns_flag (
str(default:'append_sequence_mismatch_annotations_performed')) -- Flag inadata.unsindicating prior completion.
- Return type:
- Results stored in