InstaNovo enables diffusion-powered de novo peptide identification in large scale proteomics experiments
deposit · 1 version · 3 papers
Raw data and search results InstaNovo was evaluated on, including the application datasets it generated (HeLa single-shot, HeLa degradome, nanobodies, Candidatus Scalindua brodae), with the supporting pre-processing files on figshare.
| Kind | deposit |
Raw data and search results InstaNovo was evaluated on, including the application datasets it generated (HeLa single-shot, HeLa degradome, nanobodies, Candidatus Scalindua brodae), with the supporting pre-processing files on figshare.
Versions
as deposited
released 2025-01-07 · introduced by De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments
Where it lives:
- PRIDE · PXD044934
- figshare · 10.6084/m9.figshare.24173889 supplementary files for the eight application datasets
Deposited by (2)
More than one paper here means one piece of work published twice, a preprint and its version of record; a deposit itself happens once.
- 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 (1)
- Learning from tandem mass spectra at scale with a self-supervised foundation model for proteomics (2026) preprint as deposited
Methods on these papers (3)
- InstaNovo algorithm
- InstaNovo+ algorithm
- InstaNovo-FM algorithm
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.