Welcome to DAX’s documentation!

DAX is Distributed Automation for XNAT

DAX allows you to:

• store analyzed imaging data on XNAT (datatypes)
• extract information from XNAT via scripts (Xnat_tools)
• run pipelines on your data in XNAT via a cluster (processors)

Installation

Install the latest release with pip:

pip install dax

Contents:

• DAX Installation
  • Table of Contents:
    • Requirements
  • For Linux user
  • For Mac user
  • Warnings
    • Install DAX
  • Install for Linux user
  • Install for Mac user
  • No Sudo access
    • Verify the installation
    • Programming in python
• Installation of fs:fsData and proc:genProcData
  • On XNAT VM:
  • ON XNAT webapp:
• Source Documentation
  • dax – Root package
  • dax.task – Task class
  • dax.spiders – Spider class
  • dax.processors – Processor class
  • dax.log – Logging utility
  • dax.bin – Responsible for launching, building and updating a Task
  • dax.XnatUtils – Collection of utilities for upload/download and general access
• DAX Manager
  • Table of Contents:
    • About
    • How to set it up
    • How to add a Module
    • How to add a Process
• Contributors
• How To Contribute
• FAQ
• DAX Processors
  • About
  • Processor Repos
  • Overview
  • A “Simple” Example
  • Parts of the Processor YAML
  • inputs
    • xnat scans
    • xnat assessors
    • xnat attrs
    • xnat filters
    • outputs
    • command
    • attrs
    • jobtemplate
  • Versioning
  • Notes on Singularity run options