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神经科学云分析即服务:一个用于可扩展、可重复数据分析的开源平台。

Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis.

机构信息

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 York, NY 10027, USA.

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.

出版信息

Neuron. 2022 Sep 7;110(17):2771-2789.e7. doi: 10.1016/j.neuron.2022.06.018. Epub 2022 Jul 22.

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.

摘要

神经科学研究的一个关键方面是开发强大的、通用的数据分析方法,以处理大型数据集。不幸的是,现代数据分析方法对复杂的计算基础设施(如软件和硬件)存在隐藏的依赖,这成为分析用户无法回避的障碍。尽管现有的分析方法越来越多地作为开源软件共享,但部署这些分析方法所需的基础设施和知识仍然对使用造成了重大障碍。在这项工作中,我们开发了神经科学云计算分析即服务(NeuroCAAS):一个完全自动化的开源分析平台,为任何数据分析提供自动基础设施可重复性。我们展示了 NeuroCAAS 如何支持更简单、更强大的数据分析的设计,并且通过 NeuroCAAS 提供的许多流行数据分析工具在典型基础设施上的表现优于同类工具。通过严格的基础设施管理和云资源的结合,NeuroCAAS 极大地加速了新数据分析方法在神经科学发现中的传播和使用。

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