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  • AFNI, SUMA and FATCAT: v23.0.07 »
  • 1. Installation and Background

1. Installation and Background¶

  • 1.1. Install AFNI on Your Own Computer
    • 1.1.1. Overview
    • 1.1.2. Linux, Ubuntu 15.10 and earlier
    • 1.1.3. Linux, Ubuntu 16.04 - 17.10
    • 1.1.4. Linux, Ubuntu 18.04
    • 1.1.5. Linux, Ubuntu 20.04
    • 1.1.6. Linux, Ubuntu 22.04
    • 1.1.7. Linux, Fedora
    • 1.1.8. Linux, Red Hat
    • 1.1.9. Mac OS, 10.9-15 (via command line)
    • 1.1.10. Mac OS, 10.13-15 (via App)
    • 1.1.11. macOS, 12+ (Apple Silicon: M1, M2, …)
    • 1.1.12. macOS, 12+ (Intel chip)
    • 1.1.13. Windows 10: Windows Subsystem for Linux (WSL)
    • 1.1.14. old Windows 10: Bash on Ubuntu (beta)
  • 1.2. Install AFNI on Administered Systems
    • 1.2.1. Mac OS (admin’ed): the administrator part
    • 1.2.2. Mac OS (admin’ed): the regular user part
  • 1.3. Work with Docker/Containerized AFNI
    • 1.3.1. Install the Docker Engine
    • 1.3.2. Use pre-built dockerfile
    • 1.3.3. Neurodocker
  • 1.4. Download other/specific AFNI/SUMA software
    • 1.4.1. Overview
    • 1.4.2. Update existing AFNI binaries
    • 1.4.3. Download current precompiled AFNI binaries
    • 1.4.4. To: download the AFNI source code
    • 1.4.5. To: browse all AFNI packages (and atlases)
  • 1.5. Prep for Bootcamp
  • 1.6. Miniconda: Python(s) in a convenient setup
    • 1.6.1. Overview
    • 1.6.2. Set up Conda (verbose)
    • 1.6.3. Set up Conda (quick)
    • 1.6.4. Short list of conda commands
    • 1.6.5. A note on making envs, re. AFNI and more
    • 1.6.6. Fancier things with Conda
    • 1.6.7. Comments on AFNI-specific conda environments

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Table of Contents

  • 1. Installation and Background
    • 1.1. Install AFNI on Your Own Computer
    • 1.2. Install AFNI on Administered Systems
    • 1.3. Work with Docker/Containerized AFNI
    • 1.4. Download other/specific AFNI/SUMA software
    • 1.5. Prep for Bootcamp
    • 1.6. Miniconda: Python(s) in a convenient setup
  • 2. Starting with AFNI
  • 3. Educational resources
  • 4. All program helps
  • 5. AFNI (and afni)
  • 6. SUMA
  • 7. FATCAT
  • 8. Statistics
  • 9. Templates & Atlases
  • 10. Non-human processing
  • 11. Tutorials, Examples
  • 12. Demo Material
  • 13. AFNI Codex: Code Examples from publications
  • 14. Citing
  • 15. Developer Documentation
  • 16. Contributors
  • 17. Glossary
  • 18. Main AFNI pages

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