High-throughput MS-based immunopeptidomics
benchmark · DDA · 1 version · 6 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
Used by (6)
- Learning from tandem mass spectra at scale with a self-supervised foundation model for proteomics (2026) preprint as deposited
- 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
- The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides (2023) peer-reviewed as deposited
- De novo Peptide Sequencing (2016) peer-reviewed as deposited
Methods on these papers (6)
- De novo peptide sequencing (Proteome Informatics chapter) review
- 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.