High-throughput MS-based immunopeptidomics
benchmark · DDA · 1 version · 5 papers
High-throughput MS-based immunopeptidomics
| Kind | benchmark |
| Acquisition | DDA |
| Organisms | Homo sapiens (human) |
High-throughput MS-based immunopeptidomics
Versions
as deposited
released 2017-09-11
Where it lives:
- PRIDE · PXD006939
Trained on by (1)
- De novo peptide sequencing rescoring and FDR estimation with Winnow (2025) preprint as deposited
Evaluated on by (3)
- De novo peptide sequencing rescoring and FDR estimation with Winnow (2025) preprint as deposited
- InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments (2025) peer-reviewed as deposited
- De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments (2023) preprint as deposited
Used by (2)
Papers that ran on it where the catalog has not recorded whether for training or for evaluation.
- Learning from tandem mass spectra at scale with a self-supervised foundation model for proteomics (2026) preprint as deposited
- The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides (2023) peer-reviewed as deposited
Methods on these papers (5)
- InstaNovo algorithm
- InstaNovo+ algorithm
- InstaNovo-FM algorithm
- Noncanonical MAP atlas downstream-application
- Winnow post-processor
Taken from the describing links only, so a paper that merely ran a tool on this data does not make that tool a method of it.