Neurodesk: An accessible, flexible, and portable data analysis environment for reproducible neuroimaging

Autor: Steffen Bollmann, Angela Renton, Thuy Dao, Tom Johnstone, Oren Civier, Ryan Sullivan, David White, Paris Lyons, Benjamin Slade, David Abbott, Toluwani Amos, Saskia Bollmann, Andy Botting, Megan Campbell, Jeryn Chang, Thomas Close, Korbinian Eckstein, Gary Egan, Stefanie Evas, Guillaume Flandin, Kelly Garner, Marta Garrido, Satrajit Ghosh, Martin Grignard, Anthony Hannan, Laurentius (Renzo) Huber, Jakub Kaczmarzyk, Lars Kasper, Levin Kuhlmann, Kexin Lou, Yorguin-Jose Mantilla-Ramos, Jason Mattingley, Jo Morris, Akshaiy Narayanan, Franco Pestilli, Aina Puce, Fernanda Ribeiro, Nigel Rogasch, Chris Rorden, Mark Schira, Thomas Shaw, Paul Sowman, Gershon Spitz, Ashley Stewart, Xincheng Ye, Judy Zhu, Matthew Hughes, Aswin Narayanan
Rok vydání: 2023
Popis: 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.
Databáze: OpenAIRE