软件可移植性
计算机科学
神经影像学
云计算
软件
一套
人机交互
软件工程
数据科学
操作系统
心理学
历史
精神科
考古
作者
Angela I. Renton,Thuy Dao,David F. Abbott,Joan Toluwani Amos,Saskia Bollmann,Andy Botting,Megan E. J. Campbell,Jeryn Chang,Oren Civier,Thomas G. Close,Korbinian Eckstein,Gary F. Egan,Stefanie Evas,Guillaume Flandin,Kelly Garner,Marta I. Garrido,Satrajit Ghosh,Martin Grignard,Anthony J. Hannan,Laurentius Huber
标识
DOI:10.1101/2022.12.23.521691
摘要
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.
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