<p>MuPeXI: A tool for prediction of neo-epitopes from tumor sequencing data</p>

Anne-Mette Bjerregaard; Morten Nielsen; Sine R. Hadrup; Zoltan Szallasi; Aron C.  Eklund

doi:10.7490/f1000research.1112187.1

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Bjerregaard AM, Nielsen M, Hadrup SR et al. MuPeXI: A tool for prediction of neo-epitopes from tumor sequencing data [version 1; not peer reviewed]. F1000Research 2016, 5:1220 (poster) (https://doi.org/10.7490/f1000research.1112187.1)

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MuPeXI: A tool for prediction of neo-epitopes from tumor sequencing data

Anne-Mette Bjerregaard¹, Morten Nielsen, Sine R. Hadrup, Zoltan Szallasi, Aron C. Eklund¹

Published 06 Jun 2016 (https://doi.org/10.7490/f1000research.1112187.1)

Author Affiliations

¹ Technical university of Denmark, Denmark

Copyright © 2016 Bjerregaard AM et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 06 Jun 2016

MuPeXI: A tool for prediction of neo-epitopes from tumor sequencing data
[version 1; not peer reviewed]

Anne-Mette Bjerregaard¹, Morten Nielsen, Sine R. Hadrup, Zoltan Szallasi, Aron C. Eklund¹

Author Affiliations

¹ Technical university of Denmark, Denmark

Presented at

14th Cancer Immunotherapy (CIMT) Annual Meeting 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Immunotherapy, Neo-epitopes, Neo-antigens, cancer, bioinformatics, prediction

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