TY - JOUR T1 - BIDS Apps: Improving ease of use, accessibility and reproducibility of neuroimaging data analysis methods JF - bioRxiv DO - 10.1101/079145 SP - 079145 AU - Krzysztof J. Gorgolewski AU - Fidel Alfaro-Almagro AU - Tibor Auer AU - Pierre Bellec AU - Mihai Capotă AU - M.Mallar Chakravarty AU - Nathan W. Churchill AU - R. Cameron Craddock AU - Gabriel A. Devenyi AU - Anders Eklund AU - Oscar Esteban AU - Guillaume Flandin AU - J. Swaroop Guntupalli AU - Mark Jenkinson AU - Anisha Keshavan AU - Gregory Kiar AU - Pradeep Reddy Raamana AU - David Raffelt AU - Christopher J. Steele AU - Pierre-Olivier Quirion AU - Robert E. Smith AU - Stephen C. Strother AU - Gaël Varoquaux AU - Tal Yarkoni AU - Yida Wang AU - Russell A. Poldrack Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/10/04/079145.abstract N2 - 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 portability of these applications (BIDS Apps) is achieved by using container technologies that encapsulate all binary and other dependencies in one convenient package. BIDS Apps run on all three major operating systems with no need for complex setup and configuration and thanks to the richness of the BIDS standard they require little manual user input. Previous containerized data processing solutions were limited to single user environments and not compatible with most multi tenant High Performance Computing systems. BIDS Apps overcome this limitation by taking advantage of the Singularity container technology. As a proof of concept, this work is accompanied by 18 ready to use BIDS Apps, packaging a diverse set of commonly used neuroimaging algorithms. ER -