Difference between revisions of "MEG Software and Analysis"

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==== Using the CTF DataEditor with a Singularity Container ====
==== Using the CTF DataEditor with a Singularity Container ====
The current version of the '''CTF DataEditor''' tool runs only under CentOS Linux version 6.9. To support the MEG user community,
The current version of the '''CTF DataEditor tool''' runs only under CentOS Linux version 6.9. To support the MEG user community,
[mailto:holroydt@mail.nih.gov Tom Holroyd] has created a [https://singularity.lbl.gov/index.html Singularity] container for CentOS 6.9 and populated the container with the necessary libraries to run the DataEditor tool. This allows MEG users to run the DataEditor tool under the operating system (Windows, Mac OSX, Linux) of their choice.
[mailto:holroydt@mail.nih.gov Tom Holroyd] has created a [https://singularity.lbl.gov/index.html Singularity] container for CentOS 6.9 and populated the container with the necessary libraries to run the DataEditor tool. This allows MEG users to run the DataEditor tool under the operating system (Windows, Mac OSX, Linux) of their choice.



Revision as of 14:48, 29 March 2018

Using the CTF DataEditor with a Singularity Container

The current version of the CTF DataEditor tool runs only under CentOS Linux version 6.9. To support the MEG user community, Tom Holroyd has created a Singularity container for CentOS 6.9 and populated the container with the necessary libraries to run the DataEditor tool. This allows MEG users to run the DataEditor tool under the operating system (Windows, Mac OSX, Linux) of their choice.

Singularity is a Operating-system-level virtualization solution where an operating system can host another operating system in an isolated container. To run a Singularity container on your operating system, you need to first install the Singularity software for your operating system. There are install packages for the major operating systems from the Singularity website.



MEG Data Analysis

This section covers all aspects of MEG data analysis. The following pages assume that you have AFNI installed and have a reasonably good idea of how to use it.