Renton Angela I, Dao Thuy T, Johnstone Tom, Civier Oren, Sullivan Ryan P, White David J, Lyons Paris, Slade Benjamin M, Abbott David F, Amos Toluwani J, Bollmann Saskia, Botting Andy, Campbell Megan E J, Chang Jeryn, Close Thomas G, Eckstein Korbinian, Egan Gary F, Evas Stefanie, Flandin Guillaume, Garner Kelly G, Garrido Marta I, Ghosh Satrajit S, Grignard Martin, Hannan Anthony J, Huber Renzo, Kaczmarzyk Jakub R, Kasper Lars, Kuhlmann Levin, Lou Kexin, Mantilla-Ramos Yorguin-Jose, Mattingley Jason B, Morris Jo, Narayanan Akshaiy, Pestilli Franco, Puce Aina, Ribeiro Fernanda L, Rogasch Nigel C, Rorden Chris, Schira Mark, Shaw Thomas B, Sowman Paul F, Spitz Gershon, Stewart Ashley, Ye Xincheng, Zhu Judy D, Hughes Matthew E, Narayanan Aswin, Bollmann Steffen
The University of Queensland, Queensland Brain Institute, St Lucia 4072, Australia.
The University of Queensland, School of Information Technology and Electrical Engineering, St Lucia 4072, Australia.
Res Sq. 2023 Mar 13:rs.3.rs-2649734. doi: 10.21203/rs.3.rs-2649734/v1.
Neuroimaging data analysis often requires purpose-built software, which can be challenging to install and may produce different results across computing environments. Beyond being a roadblock to neuroscientists, these issues of accessibility and portability can hamper the reproducibility of neuroimaging data analysis pipelines. Here, we introduce the Neurodesk platform, which harnesses software containers to support a comprehensive and growing suite of neuroimaging software (https://www.neurodesk.org/). Neurodesk includes a browser-accessible virtual desktop environment and a command line interface, mediating access to containerized neuroimaging software libraries on various computing platforms, including personal and high-performance computers, cloud computing and Jupyter Notebooks. This community-oriented, open-source platform enables a paradigm shift for neuroimaging data analysis, allowing for accessible, flexible, fully reproducible, and portable data analysis pipelines.
神经影像数据分析通常需要专门构建的软件,这类软件安装起来可能具有挑战性,并且在不同的计算环境中可能会产生不同的结果。除了成为神经科学家的障碍之外,这些可访问性和可移植性问题还可能阻碍神经影像数据分析流程的可重复性。在这里,我们介绍Neurodesk平台,该平台利用软件容器来支持一套全面且不断增长的神经影像软件(https://www.neurodesk.org/)。Neurodesk包括一个可通过浏览器访问的虚拟桌面环境和一个命令行界面,可在包括个人计算机和高性能计算机、云计算和Jupyter Notebook在内的各种计算平台上介导对容器化神经影像软件库的访问。这个以社区为导向的开源平台为神经影像数据分析带来了范式转变,允许实现可访问、灵活、完全可重复和可移植的数据分析流程。