Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition
deposit · DDA · 1 version · 5 papers
Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition. DDA vs DIA comparison
| Kind | deposit |
| Acquisition | DDA |
| Organisms | Homo sapiens (human) |
Ultra-fast label-free quantification and comprehensive proteome coverage with narrow-window data-independent acquisition. DDA vs DIA comparison
Versions
as deposited
released 2023-10-27
Where it lives:
- PRIDE · PXD046453
Used by (5)
- Learning from tandem mass spectra at scale with a self-supervised foundation model for proteomics (2026) preprint as deposited
- False discovery rate control for trustworthy AI-based de novo peptide sequencing (2026) preprint as deposited
- Advancing Proteomic Analyses with Graph-Based Deep Learning: Protein Inference and DIA De Novo Peptide Sequencing (2025) thesis as deposited
- MassNet: billion-scale AI-friendly mass spectral corpus enables robust de novo peptide sequencing (2025) preprint as deposited
- Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide Sequencing (2024) preprint as deposited
Methods on these papers (4)
- DIANovo algorithm
- FDR control for AI-based de novo sequencing post-processor
- InstaNovo-FM algorithm
- XuanjiNovo 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.