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Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis.
Abe, Taiga; Kinsella, Ian; Saxena, Shreya; Buchanan, E Kelly; Couto, Joao; Briggs, John; Kitt, Sian Lee; Glassman, Ryan; Zhou, John; Paninski, Liam; Cunningham, John P.
Afiliación
  • Abe T; Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA; Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA; Department of Neuroscience, Columbia University Medical Center, Columbia University, New Y
  • Kinsella I; Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA; Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA; Department of Statistics, Columbia University, New York, NY 10027, USA.
  • Saxena S; Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA; Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA; Grossman Center for the Statistics of Mind, Columbia University, New York, NY 10027, USA;
  • Buchanan EK; Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA; Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA; Department of Neuroscience, Columbia University Medical Center, Columbia University, New Y
  • Couto J; Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
  • Briggs J; Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA.
  • Kitt SL; Department of Computer Science, Columbia University, New York, NY 10027, USA.
  • Glassman R; Department of Computer Science, Columbia University, New York, NY 10027, USA.
  • Zhou J; Department of Computer Science, Columbia University, New York, NY 10027, USA.
  • Paninski L; Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA; Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA; Grossman Center for the Statistics of Mind, Columbia University, New York, NY 10027, USA;
  • Cunningham JP; Mortimer B. Zuckerman Mind Brain Behavior Institute, Department of Neuroscience, Columbia University, New York, NY 10027, USA; Center for Theoretical Neuroscience, Columbia University, New York, NY 10027, USA; Grossman Center for the Statistics of Mind, Columbia University, New York, NY 10027, USA;
Neuron ; 110(17): 2771-2789.e7, 2022 09 07.
Article en En | MEDLINE | ID: mdl-35870448
ABSTRACT
A key aspect of neuroscience research is the development of powerful, general-purpose data analyses that process large datasets. Unfortunately, modern data analyses have a hidden dependence upon complex computing infrastructure (e.g., software and hardware), which acts as an unaddressed deterrent to analysis users. Although existing analyses are increasingly shared as open-source software, the infrastructure and knowledge needed to deploy these analyses efficiently still pose significant barriers to use. In this work, we develop Neuroscience Cloud Analysis As a Service (NeuroCAAS) a fully automated open-source analysis platform offering automatic infrastructure reproducibility for any data analysis. We show how NeuroCAAS supports the design of simpler, more powerful data analyses and that many popular data analysis tools offered through NeuroCAAS outperform counterparts on typical infrastructure. Pairing rigorous infrastructure management with cloud resources, NeuroCAAS dramatically accelerates the dissemination and use of new data analyses for neuroscientific discovery.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neurociencias / Análisis de Datos Idioma: En Revista: Neuron Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neurociencias / Análisis de Datos Idioma: En Revista: Neuron Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article