![]() ![]() PLoS Comput Biol 13(3):Įditor: Dina Schneidman, Hebrew University of Jerusalem, ISRAEL (2017) BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. As a proof of concept, this work is accompanied by 22 ready to use BIDS Apps, packaging a diverse set of commonly used neuroimaging algorithms.Ĭitation: Gorgolewski KJ, Alfaro-Almagro F, Auer T, Bellec P, Capotă M, Chakravarty MM, et al. BIDS Apps overcome this limitation by taking advantage of the Singularity container technology. Previous containerized data processing solutions were limited to single user environments and not compatible with most multi-tenant High Performance Computing systems. #Mendeley desktop for mac accessibiliy manualBIDS Apps run on all three major operating systems with no need for complex setup and configuration and thanks to the comprehensiveness of the BIDS standard they require little manual user input. The portability of these applications (BIDS Apps) is achieved by using container technologies that encapsulate all binary and other dependencies in one convenient package. In this work, we introduce a framework for creating, testing, versioning and archiving portable applications for analyzing neuroimaging data organized and described in compliance with the Brain Imaging Data Structure (BIDS). ![]() The rate of progress in human neurosciences is limited by the inability to easily apply a wide range of analysis methods to the plethora of different datasets acquired in labs around the world. ![]()
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