Table of Contents
The primary analysis support at YNiC is via the doc wiki:
This details how to go about analysing your data, be it MEG data:
or MRI data:
There are also a number of pages that give supplementary information to hone the IT aspect of your analyses, helping to make your number crunching more efficient and less painful:
Note that on the IT Front Page there are three links under the YNiC Specific Information section for New Users. If you are not already familiar with these you should familiarise yourself with this information. In particular, now that you are starting analysis, it will be necessary for you to be familiar with the information about using the cluster at YNiC as when you begin to analyse either MEG or MRI data, you will almost certainly at some point need to use the cluster.
Other useful information relating to analysis within YNiC may also be found in the Miscellaneous, TechnicalInfo and other pages linked from the front of the doc wiki.
Should you need further help in interpretation of your analyses, then you are encouraged to host a YNiC Analysis Support Colloqia[1]. The details of these may be found under the General Analysis Support subtitle at https://www.ynic.york.ac.uk/doc/Miscellaneous.
If this is your first look at MEG or MRI analysis, you may want to work through one of our tutorials.
A tutorial for MEG data analysis can be found at https://www.ynic.york.ac.uk/doc/Example_Analysis and a
beamforming Masterclass can be downloaded by navigating to
/scratch/groups/tutorials/meg/MEGmasterclass_tutorial.pdf
on the YNiC IT systems.
For MRI analysis, there is an MRI Masterclass that can be
downloaded by navigating to
/scratch/groups/tutorials/mri/YNiC_FSL_masterclass.pdf
on the YNiC IT system.
As you might expect, the writing up stage of your study is mostly up to yourselves! However, https://www.ynic.york.ac.uk/doc/TechnicalInfo will hopefully provide much of the necessary technical information to aid your methods section. Please let a member of YNiC staff know if there are any obvious omissions.
[1] Naturally, if you are being supervised as part of an academic course, you should seek your supervisor's wisdom before calling an ASC session.