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

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
Publisher	Institute of Electrical and Electronics Engineers, Inc.
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

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

UN SDGs

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

SDG 12 Responsible Consumption and Production
SDG 17 Partnerships for the Goals

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10.1109/HPCSim.2015.7237114

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

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

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

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Stringer, B, Dijkstra, M, Feenstra, A , Abeln, S & Heringa, J 2015, Explaining disease using big data: How valid is your pathway? in Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015., 7237114, Institute of Electrical and Electronics Engineers, Inc., 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. Institute of Electrical and Electronics Engineers, Inc., 2015. p. 662-664 7237114.

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

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AU - Dijkstra, Maurits

AU - Feenstra, Anton

AU - Abeln, Sanne

AU - Heringa, Jaap

PY - 2015/9/2

Y1 - 2015/9/2

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PB - Institute of Electrical and Electronics Engineers, Inc.

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

Abstract

Conference

UN SDGs

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