<p>Identification of known and novel recurrent viral sequences in data from multiple patients and multiple cancers</p>

Jens Friis-Nielsen; Kristín Rós  Kjartansdóttir; Sarah  Mollerup; Maria  Asplund; Tobias  Mourier; Randi Holm  Jensen; Thomas Arn  Hansen; Alba  Rey-Iglesia; Stine Raith  Richter; Ida Broman  Nielsen; David E.  Alquezar-Planas; Pernille V. S.  Olsen; Lasse  Vinner; Helena  Fridholm; Lars Peter  Nielsen; Eske  Willerslev; Thomas  Sicheritz-Pontén; Ole  Lund; Anders Johannes  Hansen; Jose MG Izarzugaza; Søren Brunak

doi:10.7490/f1000research.1113095.1

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Friis-Nielsen J, Kjartansdóttir KR, Mollerup S et al. Identification of known and novel recurrent viral sequences in data from multiple patients and multiple cancers [version 1; not peer reviewed]. F1000Research 2016, 5(ISCB Comm J):2264 (poster) (https://doi.org/10.7490/f1000research.1113095.1)

NOTE: it is important to ensure the information in square brackets after the title is included in this citation.

Identification of known and novel recurrent viral sequences in data from multiple patients and multiple cancers

Jens Friis-Nielsen, Kristín Rós Kjartansdóttir , Sarah Mollerup , Maria Asplund, Tobias Mourier , Randi Holm Jensen , Thomas Arn Hansen, Alba Rey-Iglesia , Stine Raith Richter, Ida Broman Nielsen , David E. Alquezar-Planas , Pernille V. S. Olsen, Lasse Vinner, Helena Fridholm , Lars Peter Nielsen , Eske Willerslev, Thomas Sicheritz-Pontén , Ole Lund, Anders Johannes Hansen , Jose MG Izarzugaza¹, Søren Brunak²

Published 08 Sep 2016 (https://doi.org/10.7490/f1000research.1113095.1)

Author Affiliations

¹ Technical University of Denmark, Denmark
² Center for Protein Research, Denmark

Copyright © 2016 Friis-Nielsen J 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 08 Sep 2016

Identification of known and novel recurrent viral sequences in data from multiple patients and multiple cancers
[version 1; not peer reviewed]

Author Affiliations

¹ Technical University of Denmark, Denmark
² Center for Protein Research, Denmark

Presented at

15th European Conference on Computational Biology (ECCB) 2016

2nd Annual Danish Bioinformatics Conference

International Conference on Intelligent Systems for Molecular Biology (ISMB) 2016

Human Genome Meeting (HGM) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

NGS, virus, cancer, contamination, discovery

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