Difference between revisions of "Software Setup"

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  git clone https://github.com/yeatmanlab/mritools.git
 
  git clone https://github.com/yeatmanlab/mritools.git
 
==Yeatman Lab Tools==
 
==Yeatman Lab Tools==
  https://github.com/yeatmanlab/mritools
+
  git clone https://github.com/yeatmanlab/BrainTools.git
 
==Vistasoft==
 
==Vistasoft==
 
MATLAB based toolbox, from Brian Wandell's lab at Stanford, that contains many functions we rely on for analyzing diffusion MRI and functional MRI data
 
MATLAB based toolbox, from Brian Wandell's lab at Stanford, that contains many functions we rely on for analyzing diffusion MRI and functional MRI data
  https://github.com/vistalab/vistasoft
+
  git clone https://github.com/vistalab/vistasoft.git
 
==Automated Fiber Quantification==
 
==Automated Fiber Quantification==
  https://github.com/jyeatman/AFQ
+
  git clone https://github.com/jyeatman/AFQ.git
 
==Anaconda==
 
==Anaconda==
 
Each user should have anaconda set up to manage their Python packages. See instructions here:
 
Each user should have anaconda set up to manage their Python packages. See instructions here:

Revision as of 22:56, 17 December 2015

We rely on a number of different software packages to analyze MRI and MEG data. Here is a growing tally of what we use and where to get it. Most of these tools reside on github and you should definitely use git to clone the repositories rather than download a snapshot of the code. e.g.

git clone https://github.com/yeatmanlab/mritools.git

Yeatman Lab Tools

git clone https://github.com/yeatmanlab/BrainTools.git

Vistasoft

MATLAB based toolbox, from Brian Wandell's lab at Stanford, that contains many functions we rely on for analyzing diffusion MRI and functional MRI data

git clone https://github.com/vistalab/vistasoft.git

Automated Fiber Quantification

git clone https://github.com/jyeatman/AFQ.git

Anaconda

Each user should have anaconda set up to manage their Python packages. See instructions here:

https://www.continuum.io/downloads

nibabel

Python based toolbox for dealing with nifti images. While nibabel is on github we suggest installing using pip:

pip install nibabel