A portable and scalable workflow for detecting structural variants in whole-genome sequencing data
Publication date
2018-12-24
Authors
Kuzniar, Arnold
Maassen, Jason
Verhoeven, Stefan
Santuari, Luca
Shneider, Carl
Kloosterman, Wigard P.
de Ridder, Jeroen
Editors
Advisors
Supervisors
Document Type
Part of book
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License
taverne
Abstract
Keywords
Cancer genomics, HPC, Reproducible research, Structural variants, Whole genome sequencing, Workflow, Taverne, Computer Science Applications, Software, Ecological Modelling, Modelling and Simulation
Citation
Kuzniar, A, Maassen, J, Verhoeven, S, Santuari, L, Shneider, C, Kloosterman, W & De Ridder, J 2018, A portable and scalable workflow for detecting structural variants in whole-genome sequencing data. in Proceedings - IEEE 14th International Conference on eScience, e-Science 2018., 8588683, Proceedings - IEEE 14th International Conference on eScience, e-Science 2018, IEEE, pp. 303-304, 14th IEEE International Conference on eScience, e-Science 2018, Amsterdam, Netherlands, 29/10/18. https://doi.org/10.1109/eScience.2018.00064, conference