A portable and scalable workflow for detecting structural variants in whole-genome sequencing data

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A portable and scalable workflow for detecting structural variants in whole-genome sequencing data
 
Kuzniar, Arnold; Maassen, Jason; Verhoeven, Stefan; Santuari, Luca; Shneider, Carl; Kloosterman, Wigard; De Ridder, Jeroen
(2018)
Proceedings - IEEE 14th International Conference on eScience, e-Science 2018, pp. 303 - 304
Proceedings - IEEE 14th International Conference on eScience, e-Science 2018, pp. 303 - 304
14th IEEE International Conference on eScience, e-Science 2018, pp. 303 - 304
(Part of book)
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Keywords: Cancer genomics, HPC, Reproducible research, Structural variants, Whole genome sequencing, Workflow, Computer Science Applications, Software, Ecological Modelling, Modelling and Simulation
DOI: https://doi.org/10.1109/eScience.2018.00064
ISBN: 9781538691564
Publisher: Institute of Electrical and Electronics Engineers Inc.
(Peer reviewed)