MS-rescue: A Computational Pipeline to Increase the Quality and Yield of Immunopeptidomics Experiments

ABSTRACT: We propose a new pipeline for the refinement of spectrum-peptide assignment, designed specifically for MHC ligand identification. By modeling the peptidome as a collection of a limited number of specificities, corresponding to the MHC alleles of the cell line, our method achieves increased sequencing depth, while at the same time removing potential experimental outliers and contaminants.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): T Cell, Cell Culture

SUBMITTER: Nicola Ternette  

LAB HEAD: Nicola Ternette

PROVIDER: PXD011723 | Pride | 2019-01-02

REPOSITORIES: Pride