Peptide similarity alignment
post-processor
Peptide similarity alignment: post-processor. Grades de novo sequencing errors against a reference peptide: Levenshtein-distance tiers plus a Needleman-Wunsch alignment aware of block shuffles and isobaric…
Grades de novo sequencing errors against a reference peptide: Levenshtein-distance tiers plus a Needleman-Wunsch alignment aware of block shuffles and isobaric substitutions, so amino-acid accuracy can be split by error type. Paired with a one-class isolation-forest rescorer over Oktoberfest features, which filters identifications without FDR control.
| Kind | post-processor |
| Deep learning | no |
| Acquisition | DDA |
| Also known as | PSA; isolation-forest rescoring |
Paper describing it
- Beyond Best Guesses: A Multi-Level Confidence Assessment Framework for De Novo Peptide Sequencing Results (2026, HUPO 2026 World Congress, presentation)