Computation

The NINC Data Analysis/Computation lab is a collaborative work space with eight high-end workstations to support processing and analysis of data from the NINC’s imaging systems. On-going tutorials in programming and data analysis are available through the Dynamic Brain Circuits cluster and have been incorporated into the Graduate Program in Neuroscience as NRSC 510: Topics in Neurodata.

 


 

Hardware

The NINC has 8 high-end workstations which facilitate training and research in computational methods, programming, image processing and data analysis. Open to all NINC members. Log-in with your UBC CWL.

Software & GitHub

Our focus is on a do-it-yourself approach using open source tools like ImageJ, Cell profiler, and python with Jupyter notebooks. Join us on the UBC Brain Circuits GitHub. We also offer access to Solidworks, MATLAB, Adobe CS and various other commercial packages licensed by UBC.

Cloud, HPC, and Jupyterhub

We offer access to UBC cloud storage resources via UBC IT. High Performance Computing is available through the iMAP Project’s systems which were contributed to the Digital Alliance of Canada’s Cedar compute cluster at SFU. We can help migrate your computationally intensive tasks to these resources.The resources can be accessed through Jupyterhub.

Access to the NINC PCs is restricted to users from NINC member labs.

Computational Resource Access Procedures
Citation Guidelines

 

See below for more information on each of our computers!

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iMAP Computing

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