Winnow MS datasets
training · DDA · 1 version · 4 papers
Training and evaluation data assembled for de novo rescoring and FDR estimation, drawn from several PRIDE submissions and published as one addressable collection.
| Kind | training |
| Acquisition | DDA |
| Organisms | mixed |
| Home | https://huggingface.co/datasets/InstaDeepAI/winnow-ms-datasets |
Training and evaluation data assembled for de novo rescoring and FDR estimation, drawn from several PRIDE submissions and published as one addressable collection.
Versions
as published
General model training and evaluation sets, plus HeLa QC and C. elegans.
released 2025-09-29 · introduced by De novo peptide sequencing rescoring and FDR estimation with Winnow
Where it lives:
- DOI · 10.57967/hf/6610
- Hugging Face · InstaDeepAI/winnow-ms-datasets
Assembled from 2 third-party submissions:
Used by (4)
- De novo peptide sequencing rescoring and FDR estimation with Winnow (2025) preprint version not stated
- InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments (2025) peer-reviewed version not stated
- De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments (2023) preprint version not stated
- De novo Peptide Sequencing (2016) peer-reviewed version not stated
Methods on these papers (4)
- De novo peptide sequencing (Proteome Informatics chapter) review
- InstaNovo algorithm
- InstaNovo+ algorithm
- 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.