Prediction of neoepitopes from murine sequencing data

Research output: Contribution to journalComment/debateCommunication

Original languageEnglish
JournalCancer Immunology, Immunotherapy
Volume68
Issue number1
Pages (from-to)159-161
ISSN0340-7004
DOIs
Publication statusPublished - 2019

Cite this

@article{d3a4139e89804781b86ad5e2672d5360,
title = "Prediction of neoepitopes from murine sequencing data",
author = "Anne-Mette Bjerregaard and Pedersen, {Thomas Kainamura} and Marquard, {Andrea Marion} and Hadrup, {Sine Reker}",
year = "2019",
doi = "10.1007/s00262-018-2254-5",
language = "English",
volume = "68",
pages = "159--161",
journal = "Cancer Immunology, Immunotherapy",
issn = "0340-7004",
publisher = "Springer",
number = "1",

}

Prediction of neoepitopes from murine sequencing data. / Bjerregaard, Anne-Mette; Pedersen, Thomas Kainamura; Marquard, Andrea Marion; Hadrup, Sine Reker.

In: Cancer Immunology, Immunotherapy, Vol. 68, No. 1, 2019, p. 159-161.

Research output: Contribution to journalComment/debateCommunication

TY - JOUR

T1 - Prediction of neoepitopes from murine sequencing data

AU - Bjerregaard, Anne-Mette

AU - Pedersen, Thomas Kainamura

AU - Marquard, Andrea Marion

AU - Hadrup, Sine Reker

PY - 2019

Y1 - 2019

U2 - 10.1007/s00262-018-2254-5

DO - 10.1007/s00262-018-2254-5

M3 - Comment/debate

VL - 68

SP - 159

EP - 161

JO - Cancer Immunology, Immunotherapy

JF - Cancer Immunology, Immunotherapy

SN - 0340-7004

IS - 1

ER -