MS-rescue: A Computational Pipeline to Increase the Quality and Yield of Immunopeptidomics Experiments
deposit · 1 version · 3 papers
MS-rescue: A Computational Pipeline to Increase the Quality and Yield of Immunopeptidomics Experiments
| Kind | deposit |
| Organisms | Homo sapiens (human) |
MS-rescue: A Computational Pipeline to Increase the Quality and Yield of Immunopeptidomics Experiments
Versions
as deposited
released 2018-11-19
Where it lives:
- PRIDE · PXD011723
Used by (3)
- MARS an improved de novo peptide candidate selection method for non-canonical antigen target discovery in cancer (2024) peer-reviewed as deposited
- The Immunopeptidome from a Genomic Perspective: Establishing the Noncanonical Landscape of MHC Class I–Associated Peptides (2023) peer-reviewed as deposited
- MARS: Improved De Novo Peptide Candidate Selection for Non-Canonical Antigen Target Discovery in Cancer (2022) preprint as deposited
Methods on these papers (2)
- MARS downstream-application
- Noncanonical MAP atlas downstream-application
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.