CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research
Identifieur interne : 000228 ( Pmc/Checkpoint ); précédent : 000227; suivant : 000229CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research
Auteurs : Tarek Sherif [Canada] ; Pierre Rioux [Canada] ; Marc-Etienne Rousseau [Canada] ; Nicolas Kassis [Canada] ; Natacha Beck [Canada] ; Reza Adalat [Canada] ; Samir Das [Canada] ; Tristan Glatard [Canada, France] ; Alan C. Evans [Canada]Source :
- Frontiers in Neuroinformatics [ 1662-5196 ] ; 2014.
Abstract
The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative research platform developed in response to the challenges raised by data-heavy, compute-intensive neuroimaging research. CBRAIN offers transparent access to remote data sources, distributed computing sites, and an array of processing and visualization tools within a controlled, secure environment. Its web interface is accessible through any modern browser and uses graphical interface idioms to reduce the technical expertise required to perform large-scale computational analyses. CBRAIN's flexible meta-scheduling has allowed the incorporation of a wide range of heterogeneous computing sites, currently including nine national research High Performance Computing (HPC) centers in Canada, one in Korea, one in Germany, and several local research servers. CBRAIN leverages remote computing cycles and facilitates resource-interoperability in a transparent manner for the end-user. Compared with typical grid solutions available, our architecture was designed to be easily extendable and deployed on existing remote computing sites with no tool modification, administrative intervention, or special software/hardware configuration. As October 2013, CBRAIN serves over 200 users spread across 53 cities in 17 countries. The platform is built as a generic framework that can accept data and analysis tools from any discipline. However, its current focus is primarily on neuroimaging research and studies of neurological diseases such as Autism, Parkinson's and Alzheimer's diseases, Multiple Sclerosis as well as on normal brain structure and development. This technical report presents the CBRAIN Platform, its current deployment and usage and future direction.
Url:
DOI: 10.3389/fninf.2014.00054
PubMed: 24904400
PubMed Central: 4033081
Affiliations:
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PMC:4033081Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative research platform developed in response to the challenges raised by data-heavy, compute-intensive neuroimaging research. CBRAIN offers transparent access to remote data sources, distributed computing sites, and an array of processing and visualization tools within a controlled, secure environment. Its web interface is accessible through any modern browser and uses graphical interface idioms to reduce the technical expertise required to perform large-scale computational analyses. CBRAIN's flexible meta-scheduling has allowed the incorporation of a wide range of heterogeneous computing sites, currently including nine national research High Performance Computing (HPC) centers in Canada, one in Korea, one in Germany, and several local research servers. CBRAIN leverages remote computing cycles and facilitates resource-interoperability in a transparent manner for the end-user. Compared with typical grid solutions available, our architecture was designed to be easily extendable and deployed on existing remote computing sites with no tool modification, administrative intervention, or special software/hardware configuration. As October 2013, CBRAIN serves over 200 users spread across 53 cities in 17 countries. The platform is built as a generic framework that can accept data and analysis tools from any discipline. However, its current focus is primarily on neuroimaging research and studies of neurological diseases such as Autism, Parkinson's and Alzheimer's diseases, Multiple Sclerosis as well as on normal brain structure and development. This technical report presents the CBRAIN Platform, its current deployment and usage and future direction.</p>
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<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Front Neuroinform</journal-id>
<journal-id journal-id-type="iso-abbrev">Front Neuroinform</journal-id>
<journal-id journal-id-type="publisher-id">Front. Neuroinform.</journal-id>
<journal-title-group><journal-title>Frontiers in Neuroinformatics</journal-title>
</journal-title-group>
<issn pub-type="epub">1662-5196</issn>
<publisher><publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">24904400</article-id>
<article-id pub-id-type="pmc">4033081</article-id>
<article-id pub-id-type="doi">10.3389/fninf.2014.00054</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Neuroscience</subject>
<subj-group><subject>Technology Report Article</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group><article-title>CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Sherif</surname>
<given-names>Tarek</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003"><sup>†</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/158737"></uri>
</contrib>
<contrib contrib-type="author"><name><surname>Rioux</surname>
<given-names>Pierre</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003"><sup>†</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Rousseau</surname>
<given-names>Marc-Etienne</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003"><sup>†</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/103344"></uri>
</contrib>
<contrib contrib-type="author"><name><surname>Kassis</surname>
<given-names>Nicolas</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Beck</surname>
<given-names>Natacha</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Adalat</surname>
<given-names>Reza</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/158553"></uri>
</contrib>
<contrib contrib-type="author"><name><surname>Das</surname>
<given-names>Samir</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/35715"></uri>
</contrib>
<contrib contrib-type="author"><name><surname>Glatard</surname>
<given-names>Tristan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://community.frontiersin.org/people/u/156033"></uri>
</contrib>
<contrib contrib-type="author"><name><surname>Evans</surname>
<given-names>Alan C.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup>
<institution>ACElab, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University</institution>
<country>Montreal, QC, Canada</country>
</aff>
<aff id="aff2"><sup>2</sup>
<institution>CREATIS, INSERM, Centre National de la Recherche Scientifique, Université de Lyon</institution>
<country>Lyon, France</country>
</aff>
<author-notes><fn fn-type="edited-by"><p>Edited by: Xi Cheng, Lieber Institue for Brain Development, USA</p>
</fn>
<fn fn-type="edited-by"><p>Reviewed by: Gully A. P. C. Burns, USC Information Sciences Institute, USA; Padraig Gleeson, University College London, UK</p>
</fn>
<corresp id="fn001">*Correspondence: Alan C. Evans, ACElab, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, 3801 University Street, Webster 2B #208, Montreal, QC H3A 2B4, Canada e-mail: <email xlink:type="simple">alan.evans@mcgill.ca</email>
</corresp>
<fn fn-type="other" id="fn002"><p>This article was submitted to the journal Frontiers in Neuroinformatics.</p>
</fn>
<fn fn-type="present-address" id="fn003"><p>†These authors have contributed equally to this work.</p>
</fn>
</author-notes>
<pub-date pub-type="epub"><day>21</day>
<month>5</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="collection"><year>2014</year>
</pub-date>
<volume>8</volume>
<elocation-id>54</elocation-id>
<history><date date-type="received"><day>06</day>
<month>12</month>
<year>2013</year>
</date>
<date date-type="accepted"><day>29</day>
<month>4</month>
<year>2014</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2014 Sherif, Rioux, Rousseau, Kassis, Beck, Adalat, Das, Glatard and Evans.</copyright-statement>
<copyright-year>2014</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract><p>The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based collaborative research platform developed in response to the challenges raised by data-heavy, compute-intensive neuroimaging research. CBRAIN offers transparent access to remote data sources, distributed computing sites, and an array of processing and visualization tools within a controlled, secure environment. Its web interface is accessible through any modern browser and uses graphical interface idioms to reduce the technical expertise required to perform large-scale computational analyses. CBRAIN's flexible meta-scheduling has allowed the incorporation of a wide range of heterogeneous computing sites, currently including nine national research High Performance Computing (HPC) centers in Canada, one in Korea, one in Germany, and several local research servers. CBRAIN leverages remote computing cycles and facilitates resource-interoperability in a transparent manner for the end-user. Compared with typical grid solutions available, our architecture was designed to be easily extendable and deployed on existing remote computing sites with no tool modification, administrative intervention, or special software/hardware configuration. As October 2013, CBRAIN serves over 200 users spread across 53 cities in 17 countries. The platform is built as a generic framework that can accept data and analysis tools from any discipline. However, its current focus is primarily on neuroimaging research and studies of neurological diseases such as Autism, Parkinson's and Alzheimer's diseases, Multiple Sclerosis as well as on normal brain structure and development. This technical report presents the CBRAIN Platform, its current deployment and usage and future direction.</p>
</abstract>
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<kwd>collaborative platform</kwd>
<kwd>interoperability</kwd>
<kwd>cloud computing</kwd>
<kwd>neuroimaging</kwd>
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<name sortKey="Kassis, Nicolas" sort="Kassis, Nicolas" uniqKey="Kassis N" first="Nicolas" last="Kassis">Nicolas Kassis</name>
<name sortKey="Rioux, Pierre" sort="Rioux, Pierre" uniqKey="Rioux P" first="Pierre" last="Rioux">Pierre Rioux</name>
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<country name="France"><noRegion><name sortKey="Glatard, Tristan" sort="Glatard, Tristan" uniqKey="Glatard T" first="Tristan" last="Glatard">Tristan Glatard</name>
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