QuNex

QuNex provides end-to-end processing and analytics for reproducible, scalable neuroimaging across multi-modal and multi-species datasets.

Key Features:

• Reproducible Workflow Deployment: A "turnkey" command deploys custom workflows from raw data acquisition to analytic feature generation to standardize processing steps.
• Interoperable Software Integration: An extension framework and software development kit (SDK) support integration of multi-modal, community-developed neuroimaging software.
• High-Throughput Processing: Optimized for parallel, high-throughput execution in high-performance compute environments, both local and cloud-based.
• Translational Platform Support: Integrates workflows across human and non-human subjects to support cross-species studies.

Scientific Applications:

• Large-scale dataset processing: Has processed over 10,000 scans from neuroimaging consortia and multiple clinical datasets.
• Method harmonization and reproducibility: Facilitates integration of methods across acquisition approaches, pipelines, datasets, computational environments, and species.
• Translational neuroscience: Enables comparative analyses across human and non-human studies to investigate neural mechanisms in health and disease.

Methodology:

Deployment via a "turnkey" command from raw data to analytic features; an extension framework and SDK for integrating external neuroimaging software; and optimization for parallel, high-throughput execution on local or cloud high-performance compute environments.