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

Arnold Kuzniar; Jason Maassen; Stefan Verhoeven; Luca Santuari; Carl Shneider; Wigard Kloosterman; Jeroen De Ridder

doi:10.1109/eScience.2018.00064

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

Arnold Kuzniar
, Jason Maassen
, Stefan Verhoeven
, Luca Santuari
, Carl Shneider
, Wigard Kloosterman
, Jeroen De Ridder

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Original language	English
Title of host publication	Proceedings - IEEE 14th International Conference on eScience, e-Science 2018
Publisher	IEEE
Pages	303-304
Number of pages	2
ISBN (Electronic)	9781538691564
DOIs	https://doi.org/10.1109/eScience.2018.00064
Publication status	Published - 24 Dec 2018
Event	14th IEEE International Conference on eScience, e-Science 2018 - Amsterdam, Netherlands Duration: 29 Oct 2018 → 1 Nov 2018

Publication series

Name	Proceedings - IEEE 14th International Conference on eScience, e-Science 2018

Conference

Conference	14th IEEE International Conference on eScience, e-Science 2018
Country/Territory	Netherlands
City	Amsterdam
Period	29/10/18 → 1/11/18

Keywords

Cancer genomics
HPC
Reproducible research
Structural variants
Whole genome sequencing
Workflow

Access to Document

10.1109/eScience.2018.00064

PIIS1083879117308674Final published version, 195 KBLicence: Taverne

Cite this

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 (pp. 303-304). Article 8588683 (Proceedings - IEEE 14th International Conference on eScience, e-Science 2018). IEEE. https://doi.org/10.1109/eScience.2018.00064

@inproceedings{71f32c1cca32480dbfd9fa51b5900aa2,

title = "A portable and scalable workflow for detecting structural variants in whole-genome sequencing data",

keywords = "Cancer genomics, HPC, Reproducible research, Structural variants, Whole genome sequencing, Workflow",

author = "Arnold Kuzniar and Jason Maassen and Stefan Verhoeven and Luca Santuari and Carl Shneider and Wigard Kloosterman and \{De Ridder\}, Jeroen",

year = "2018",

month = dec,

day = "24",

doi = "10.1109/eScience.2018.00064",

language = "English",

series = "Proceedings - IEEE 14th International Conference on eScience, e-Science 2018",

publisher = "IEEE",

pages = "303--304",

booktitle = "Proceedings - IEEE 14th International Conference on eScience, e-Science 2018",

note = "14th IEEE International Conference on eScience, e-Science 2018 ; Conference date: 29-10-2018 Through 01-11-2018",

}

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

A portable and scalable workflow for detecting structural variants in whole-genome sequencing data. / Kuzniar, Arnold; Maassen, Jason; Verhoeven, Stefan et al.
Proceedings - IEEE 14th International Conference on eScience, e-Science 2018. IEEE, 2018. p. 303-304 8588683 (Proceedings - IEEE 14th International Conference on eScience, e-Science 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A portable and scalable workflow for detecting structural variants in whole-genome sequencing data

AU - Kuzniar, Arnold

AU - Maassen, Jason

AU - Verhoeven, Stefan

AU - Santuari, Luca

AU - Shneider, Carl

AU - Kloosterman, Wigard

AU - De Ridder, Jeroen

PY - 2018/12/24

Y1 - 2018/12/24

KW - Cancer genomics

KW - HPC

KW - Reproducible research

KW - Structural variants

KW - Whole genome sequencing

KW - Workflow

UR - https://www.scopus.com/pages/publications/85061359145

U2 - 10.1109/eScience.2018.00064

DO - 10.1109/eScience.2018.00064

M3 - Conference contribution

AN - SCOPUS:85061359145

T3 - Proceedings - IEEE 14th International Conference on eScience, e-Science 2018

SP - 303

EP - 304

BT - Proceedings - IEEE 14th International Conference on eScience, e-Science 2018

PB - IEEE

T2 - 14th IEEE International Conference on eScience, e-Science 2018

Y2 - 29 October 2018 through 1 November 2018

ER -

Kuzniar A, Maassen J, Verhoeven S, Santuari L, Shneider C, Kloosterman W et al. 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. IEEE. 2018. p. 303-304. 8588683. (Proceedings - IEEE 14th International Conference on eScience, e-Science 2018). doi: 10.1109/eScience.2018.00064

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

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Keywords

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