Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes

Details

Ressource 1Download: 32157095_BIB_03EA897A1141.pdf (3404.07 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_03EA897A1141
Type
Article: article from journal or magazin.
Collection
Publications
Institution
UNIL/CHUV
Title
Integrated proteogenomic deep sequencing and analytics accurately identify non-canonical peptides in tumor immunopeptidomes
Journal
Nature Communications
Author(s)
Chong Chloe, Müller Markus, Pak HuiSong, Harnett Dermot, Huber Florian, Grun Delphine, Leleu Marion, Auger Aymeric, Arnaud Marion, Stevenson Brian J., Michaux Justine, Bilic Ilija, Hirsekorn Antje, Calviello Lorenzo, Simó-Riudalbas Laia, Planet Evarist, Lubiński Jan, Bryśkiewicz Marta, Wiznerowicz Maciej, Xenarios Ioannis, Zhang Lin, Trono Didier, Harari Alexandre, Ohler Uwe, Coukos George, Bassani-Sternberg Michal
ISSN
2041-1723
Publication state
Published
Issued date
12/2020
Peer-reviewed
Oui
Volume
11
Number
1
Language
english
Keywords
General Biochemistry, Genetics and Molecular Biology, General Physics and Astronomy, General Chemistry
URN
urn:nbn:ch:serval-BIB_03EA897A11419
OAI-PMH
oai:serval.unil.ch:BIB_03EA897A1141
DOI
10.1038/s41467-020-14968-9
Pubmed
32157095
Open Access
Yes
Create date
10/03/2020 14:35
Last modification date
30/04/2021 6:08
Usage data