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CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research.

Tarek Sherif1, Pierre Rioux1, Marc-Etienne Rousseau1

  • 1ACElab, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University Montreal, QC, Canada.

Frontiers in Neuroinformatics
|June 7, 2014
PubMed
Summary
This summary is machine-generated.

The Canadian Brain Imaging Research Platform (CBRAIN) is a web-based tool that simplifies complex neuroimaging research. It provides secure access to data and computing resources, making large-scale analyses more accessible for researchers globally.

Keywords:
cloud computingcollaborative platformdistributed computingeScienceinteroperabilitymeta-schedulerneuroimagingvisualization

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Medical Informatics

Background:

  • Neuroimaging research generates large datasets requiring significant computational power.
  • Existing grid solutions often lack flexibility and require extensive technical expertise.
  • Collaborative research platforms are needed to streamline data sharing and analysis.

Purpose of the Study:

  • To present the Canadian Brain Imaging Research Platform (CBRAIN) as a solution for data-heavy neuroimaging research.
  • To describe CBRAIN's architecture, deployment, and usage.
  • To highlight CBRAIN's role in facilitating large-scale computational analyses and resource interoperability.

Main Methods:

  • Developed a web-based collaborative research platform (CBRAIN).
  • Integrated transparent access to remote data sources and distributed computing sites.
  • Utilized a flexible meta-scheduling system for heterogeneous High Performance Computing (HPC) integration.
  • Designed a user-friendly graphical interface to reduce technical barriers.

Main Results:

  • CBRAIN provides secure, transparent access to data and processing tools.
  • The platform supports a wide range of heterogeneous computing sites globally.
  • As of October 2013, CBRAIN served over 200 users across 17 countries.
  • CBRAIN facilitates neuroimaging research, including studies on neurological diseases and normal brain development.

Conclusions:

  • CBRAIN effectively addresses the challenges of large-scale neuroimaging research.
  • The platform's flexible architecture allows for easy extension and deployment.
  • CBRAIN enhances resource interoperability and accessibility for researchers worldwide.