Noncanonical MAP atlas

downstream-application

Noncanonical MAP atlas: downstream-application. A proteogenomic pipeline based on deep-learning de novo sequencing plus open search mapped 8,601 noncanonical MHC class I peptides from noncoding regions across 11…

A proteogenomic pipeline based on deep-learning de novo sequencing plus open search mapped 8,601 noncanonical MHC class I peptides from noncoding regions across 11 cancer types.

Kind downstream-application
Deep learning yes
Acquisition DDA
Application area Immunopeptidomics / neoantigen

Paper describing it

Authors (24)

Georges Bedran, Hans-Christof Gasser, Kenneth Weke, Tongjie Wang, Dominika Bedran, Alexander Laird, Christophe Battail, Fabio Massimo Zanzotto, Catia Pesquita, Håkan Axelson, Ajitha Rajan, David J. Harrison, Aleksander Palkowski, Maciej Pawlik, Maciej Parys, J. Robert O’Neill, Paul M. Brennan, Stefan N. Symeonides, David R. Goodlett, Kevin Litchfield, Robin Fahraeus, Ted R. Hupp, Sachin Kote, Javier A. Alfaro

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