High-resolution spatially-resolved proteome mapping using automated, sacrificial liquid-mediated sample transfer from la
deposit · DDA · 1 version · 5 papers
High-resolution spatially-resolved proteome mapping using automated, sacrificial liquid-mediated sample transfer from laser microdissection to nanodroplet sample preparation
| Kind | deposit |
| Acquisition | DDA |
| Organisms | Mus musculus (mouse) |
High-resolution spatially-resolved proteome mapping using automated, sacrificial liquid-mediated sample transfer from laser microdissection to nanodroplet sample preparation
Versions
as deposited
released 2018-02-03
Where it lives:
- PRIDE · PXD008844
Used by (5)
- A transformer-based semi-autoregressive framework for high-speed and accurate de novo peptide sequencing (2025) peer-reviewed as deposited
- Introducing π-HelixNovo for practical large-scale de novo peptide sequencing (2024) peer-reviewed as deposited
- Introducing PandaNovo for practical large-scale de novo peptide sequencing (2023) preprint as deposited
- Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices (2021) peer-reviewed as deposited
- Peptide Sequencing with Deep Learning (2020) thesis as deposited
Methods on these papers (3)
- PointNovo algorithm
- TSARseqNovo algorithm
- π-HelixNovo 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.