Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhanc
deposit · 1 version · 1 paper
Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhances Proteome Coverage
| Kind | deposit |
| Organisms | Escherichia coli, Homo sapiens (human), Arabidopsis thaliana (mouse-ear cress) |
Integrating Alternative Fragmentation Techniques into Standard LC-MS Workflows Using a Single Deep Learning Model Enhances Proteome Coverage
Versions
as deposited
released 2025-06-21
Where it lives:
- PRIDE · PXD065289
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 (1)
- 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.