Explaining disease using big data: How valid is your pathway?

Bas Stringer; Maurits Dijkstra; Anton Feenstra; Sanne Abeln; Jaap Heringa

doi:10.1109/HPCSim.2015.7237114

Explaining disease using big data: How valid is your pathway?

Bas Stringer, Maurits Dijkstra, Anton Feenstra, Sanne Abeln, Jaap Heringa

Information and computing sciences

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

Abstract

The design of solutions to current societal challenges in human health, healthcare and nutrition, and to the sustainable production of food, feed and energy, requires academic innovations and industrial activity based on life science R&D in its broadest sense. The diversity of on-going programs shows that public-private collaboration is increasing in each of these sectors. A few examples in The Netherlands alone include the Dutch Techcenter for Life Sciences (DTL), CTMM-TraIT (TransMart, Open Clinica), NFU Data 4 Lifesciences initiative, Onco-XL, Parelsnoer, Centre for Personalized Cancer Treatment (CPCT) and Philips' Health-Suite Digital Platform in the Life Science & Health sector; Breed4Food and TIFN in Agri&Food; Virtual Lab for Plant Breeding, Seed Valley and 'Tuinbouw Digitaal' in Horticulture; and BeBasic in Biobased Economy.style the text.

Original language	English
Title of host publication	Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015
Editors	Waleed W. Smari, Vesna Zeljkovic
Publisher	IEEE
Pages	662-664
Number of pages	3
ISBN (Electronic)	9781467378123
DOIs	https://doi.org/10.1109/HPCSim.2015.7237114
Publication status	Published - 2 Sept 2015
Event	13th International Conference on High Performance Computing and Simulation, HPCS 2015 - Amsterdam, Netherlands Duration: 20 Jul 2015 → 24 Jul 2015

Publication series

Name	Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015

Conference

Conference	13th International Conference on High Performance Computing and Simulation, HPCS 2015
Country/Territory	Netherlands
City	Amsterdam
Period	20/07/15 → 24/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/HPCSim.2015.7237114

Cite this

Stringer, B., Dijkstra, M., Feenstra, A., Abeln, S., & Heringa, J. (2015). Explaining disease using big data: How valid is your pathway? In W. W. Smari, & V. Zeljkovic (Eds.), Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015 (pp. 662-664). Article 7237114 (Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015). IEEE. https://doi.org/10.1109/HPCSim.2015.7237114

Stringer, Bas ; Dijkstra, Maurits ; Feenstra, Anton et al. / Explaining disease using big data : How valid is your pathway?. Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015. editor / Waleed W. Smari ; Vesna Zeljkovic. IEEE, 2015. pp. 662-664 (Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015).

@inproceedings{85b1b6ebe059422a9e270b14d9409336,

title = "Explaining disease using big data: How valid is your pathway?",

abstract = "The design of solutions to current societal challenges in human health, healthcare and nutrition, and to the sustainable production of food, feed and energy, requires academic innovations and industrial activity based on life science R&D in its broadest sense. The diversity of on-going programs shows that public-private collaboration is increasing in each of these sectors. A few examples in The Netherlands alone include the Dutch Techcenter for Life Sciences (DTL), CTMM-TraIT (TransMart, Open Clinica), NFU Data 4 Lifesciences initiative, Onco-XL, Parelsnoer, Centre for Personalized Cancer Treatment (CPCT) and Philips' Health-Suite Digital Platform in the Life Science & Health sector; Breed4Food and TIFN in Agri&Food; Virtual Lab for Plant Breeding, Seed Valley and 'Tuinbouw Digitaal' in Horticulture; and BeBasic in Biobased Economy.style the text.",

author = "Bas Stringer and Maurits Dijkstra and Anton Feenstra and Sanne Abeln and Jaap Heringa",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 13th International Conference on High Performance Computing and Simulation, HPCS 2015 ; Conference date: 20-07-2015 Through 24-07-2015",

year = "2015",

month = sep,

day = "2",

doi = "10.1109/HPCSim.2015.7237114",

language = "English",

series = "Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015",

publisher = "IEEE",

pages = "662--664",

editor = "Smari, {Waleed W.} and Vesna Zeljkovic",

booktitle = "Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015",

address = "United States",

}

Stringer, B, Dijkstra, M, Feenstra, A, Abeln, S & Heringa, J 2015, Explaining disease using big data: How valid is your pathway? in WW Smari & V Zeljkovic (eds), Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015., 7237114, Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015, IEEE, pp. 662-664, 13th International Conference on High Performance Computing and Simulation, HPCS 2015, Amsterdam, Netherlands, 20/07/15. https://doi.org/10.1109/HPCSim.2015.7237114

Explaining disease using big data: How valid is your pathway? / Stringer, Bas; Dijkstra, Maurits; Feenstra, Anton et al.
Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015. ed. / Waleed W. Smari; Vesna Zeljkovic. IEEE, 2015. p. 662-664 7237114 (Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015).

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

TY - GEN

T1 - Explaining disease using big data

T2 - 13th International Conference on High Performance Computing and Simulation, HPCS 2015

AU - Stringer, Bas

AU - Dijkstra, Maurits

AU - Feenstra, Anton

AU - Abeln, Sanne

AU - Heringa, Jaap

PY - 2015/9/2

Y1 - 2015/9/2

N2 - The design of solutions to current societal challenges in human health, healthcare and nutrition, and to the sustainable production of food, feed and energy, requires academic innovations and industrial activity based on life science R&D in its broadest sense. The diversity of on-going programs shows that public-private collaboration is increasing in each of these sectors. A few examples in The Netherlands alone include the Dutch Techcenter for Life Sciences (DTL), CTMM-TraIT (TransMart, Open Clinica), NFU Data 4 Lifesciences initiative, Onco-XL, Parelsnoer, Centre for Personalized Cancer Treatment (CPCT) and Philips' Health-Suite Digital Platform in the Life Science & Health sector; Breed4Food and TIFN in Agri&Food; Virtual Lab for Plant Breeding, Seed Valley and 'Tuinbouw Digitaal' in Horticulture; and BeBasic in Biobased Economy.style the text.

AB - The design of solutions to current societal challenges in human health, healthcare and nutrition, and to the sustainable production of food, feed and energy, requires academic innovations and industrial activity based on life science R&D in its broadest sense. The diversity of on-going programs shows that public-private collaboration is increasing in each of these sectors. A few examples in The Netherlands alone include the Dutch Techcenter for Life Sciences (DTL), CTMM-TraIT (TransMart, Open Clinica), NFU Data 4 Lifesciences initiative, Onco-XL, Parelsnoer, Centre for Personalized Cancer Treatment (CPCT) and Philips' Health-Suite Digital Platform in the Life Science & Health sector; Breed4Food and TIFN in Agri&Food; Virtual Lab for Plant Breeding, Seed Valley and 'Tuinbouw Digitaal' in Horticulture; and BeBasic in Biobased Economy.style the text.

UR - http://www.scopus.com/inward/record.url?scp=84948445669&partnerID=8YFLogxK

U2 - 10.1109/HPCSim.2015.7237114

DO - 10.1109/HPCSim.2015.7237114

M3 - Conference contribution

AN - SCOPUS:84948445669

T3 - Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015

SP - 662

EP - 664

BT - Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015

A2 - Smari, Waleed W.

A2 - Zeljkovic, Vesna

PB - IEEE

Y2 - 20 July 2015 through 24 July 2015

ER -

Stringer B, Dijkstra M, Feenstra A, Abeln S, Heringa J. Explaining disease using big data: How valid is your pathway? In Smari WW, Zeljkovic V, editors, Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015. IEEE. 2015. p. 662-664. 7237114. (Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015). doi: 10.1109/HPCSim.2015.7237114

Explaining disease using big data: How valid is your pathway?

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this