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Future opportunities and trends for e-infrastructures and life sciences: going beyond the grid to enable life science data analysis.

descriptionPublicationkeyboard_double_arrow_right Article 23 Jun 2015 Spain, France, France, France, Netherlands, France English HAL CCSDFrontiers in Genetics, volume 6 (eissn: 1664-8021,

Authors: Duarte, Afonso M S; Psomopoulos, Fotis E; Blanchet, Christophe; Bonvin, Alexandre M J J; Corpas, Manuel; Franc, Alain; Jimenez, Rafael C; +6 Authors

doi: 10.3389/fgene.2015.00197

pmc: PMC4477178

pmid: 26157454

handle: 1874/380951 , 10261/139976

Future opportunities and trends for e-infrastructures and life sciences: going beyond the grid to enable life science data analysis.

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Abstract

With the increasingly rapid growth of data in life sciences we are witnessing a major transition in the way research is conducted, from hypothesis-driven studies to data-driven simulations of whole systems. Such approaches necessitate the use of large-scale computational resources and e-infrastructures, such as the European Grid Infrastructure (EGI). EGI, one of key the enablers of the digital European Research Area, is a federation of resource providers set up to deliver sustainable, integrated and secure computing services to European researchers and their international partners. Here we aim to provide the state of the art of Grid/Cloud computing in EU research as viewed from within the field of life sciences, focusing on key infrastructures and projects within the life sciences community. Rather than focusing purely on the technical aspects underlying the currently provided solutions, we outline the design aspects and key characteristics that can be identified across major research approaches. Overall, we aim to provide significant insights into the road ahead by establishing ever-strengthening connections between EGI as a whole and the life sciences community.

AD was supported by Fundação para a Ciência e a Tecnologia, Portugal (SFRH/BPD/78075/2011 and EXPL/BBBBEP/1356/2013). FP has been supported by the National Grid Infrastructure NGI_GRNET, HellasGRID, as part of the EGI. IFB acknowledges funding from the “National Infrastructures in Biology and Health” call of the French “Investments for the Future” initiative. The WeNMR project has been funded by a European FP7 e-Infrastructure grant, contract no. 261572. AF was supported by a grant from Labex CEBA (Centre d’études de la Biodiversité Amazonienne) from ANR. MC is supported by UK’s BBSRC core funding. CSC was supported by Academy of Finland grant No. 273655 for ELIXIR Finland. The EGI-InSPIRE project (Integrated Sustainable Pan-European Infrastructure for Researchers in Europe) is co-funded by the European Commission (contract number: RI-261323). The BioMedBridges project is funded by the European Commission within Research Infrastructures of the FP7 Capacities Specific Programme, grant agreement number 284209.

This is an open-access article.-- et al.

Peer Reviewed

Countries

Spain, France, France, France, Netherlands, France

Related Organizations

Alexander Fleming Biomedical Sciences Research Center
Greece
Utrecht University
Netherlands
University of Bordeaux
France
Spanish National Research Council
Spain
Aristotle University of Thessaloniki
Greece

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Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:QH426-470 lcsh:Genetics

Microsoft Academic Graph classification: Computer science Big data Cloud computing computer.software_genre Secure computing Field (computer science) Whole systems Resource (project management) business.industry E infrastructure Grid Data science Grid computing Key (cryptography) European Research Area business computer

Keywords

Big Data, [SDV]Life Sciences [q-bio], Big data, Genetics, Cloud computing, Genetics (clinical), life sciences, Life sciences, Perspective, Grid computing, Molecular Medicine, e-infrastructures

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	8
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%

Usage byUsageCounts

visibility	views	16
download	downloads	19

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	8
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%