Neuroimaging Analysis at Scale  (Jul. 2020) (Old site; new site is at https://scinet.courses)

Introduction to the neuroimaging data and best practices for the analysis of neuroimaging data using High Performance Clusters (HPC). We will introduce types of neuroimaging scanning modalities with instructions for how to organize these data using the Brain Imaging Data Structure (BIDS). We will then introduce Singularity container software (BIDS-apps) for the preprocessing of neuroimaging data (including mriqc and fmriprep) and demonstrate how to run them on the HPC. We will discuss general information about running Singularity containerized software on the HPC and how to construct custom containers for your own analysis using NeuroDocker.

E. Dickie, J. Jeyachandra, M. Joseph

1 credits towards Scientific Computing

2 credits towards Data Science

Enrolled: 75 (waitlist: 0)

Zoom info for the online events

Login information for the cluster

This course is part of the Virtual Summer Training Program.