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Items: 5

1.

NetH2pan: A Computational Tool to Guide MHC Peptide Prediction on Murine Tumors.

DeVette CI, Andreatta M, Bardet W, Cate SJ, Jurtz VI, Jackson KW, Welm AL, Nielsen M, Hildebrand WH.

Cancer Immunol Res. 2018 Apr 3. doi: 10.1158/2326-6066.CIR-17-0298. [Epub ahead of print]

PMID:
29615400
2.

An introduction to deep learning on biological sequence data: examples and solutions.

Jurtz VI, Johansen AR, Nielsen M, Almagro Armenteros JJ, Nielsen H, S√łnderby CK, Winther O, S√łnderby SK.

Bioinformatics. 2017 Nov 15;33(22):3685-3690. doi: 10.1093/bioinformatics/btx531.

PMID:
28961695
3.

Machine learning reveals a non-canonical mode of peptide binding to MHC class II molecules.

Andreatta M, Jurtz VI, Kaever T, Sette A, Peters B, Nielsen M.

Immunology. 2017 Oct;152(2):255-264. doi: 10.1111/imm.12763. Epub 2017 Jun 19.

PMID:
28542831
4.

MetaPhinder-Identifying Bacteriophage Sequences in Metagenomic Data Sets.

Jurtz VI, Villarroel J, Lund O, Voldby Larsen M, Nielsen M.

PLoS One. 2016 Sep 29;11(9):e0163111. doi: 10.1371/journal.pone.0163111. eCollection 2016.

5.

HostPhinder: A Phage Host Prediction Tool.

Villarroel J, Kleinheinz KA, Jurtz VI, Zschach H, Lund O, Nielsen M, Larsen MV.

Viruses. 2016 May 4;8(5). pii: E116. doi: 10.3390/v8050116.

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