<p>QDNAseqFlow: A computational analysis workflow of DNA copy number aberrations from low-coverage whole genome sequencing reads</p>

Christian Rausch; Beatriz Carvalho; Remond Fijneman; Gerrit Meijer; Mark van de Wiel

doi:10.7490/f1000research.1114668.1

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Rausch C, Carvalho B, Fijneman R et al. QDNAseqFlow: A computational analysis workflow of DNA copy number aberrations from low-coverage whole genome sequencing reads [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1414 (poster) (https://doi.org/10.7490/f1000research.1114668.1)

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QDNAseqFlow: A computational analysis workflow of DNA copy number aberrations from low-coverage whole genome sequencing reads

Christian Rausch¹, Beatriz Carvalho, Remond Fijneman, Gerrit Meijer, Mark van de Wiel

Published 10 Aug 2017 (https://doi.org/10.7490/f1000research.1114668.1)

Author Affiliations

¹ Vereniging Het Nederlands Kanker Instituut NKI (Netherlands Cancer Institute), The Netherlands

Copyright © 2017 Rausch C 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 10 Aug 2017

QDNAseqFlow: A computational analysis workflow of DNA copy number aberrations from low-coverage whole genome sequencing reads
[version 1; not peer reviewed]

Christian Rausch¹, Beatriz Carvalho, Remond Fijneman, Gerrit Meijer, Mark van de Wiel

Author Affiliations

¹ Vereniging Het Nederlands Kanker Instituut NKI (Netherlands Cancer Institute), The Netherlands

Presented at

Joint 25th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 16th European Conference on Computational Biology (ECCB) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

DNA copy number analysis, copy number aberrations, NGS, low-coverage, shallow sequencing, whole genome sequencing, cancer

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