Tutorials List

This tutorial is a lecture that covers basic principles as they pertain to single cell genomics. We will cover basic experimental design and data quality control for analyzing single cell data, followed by new developments in sequencing technologies, such as single nucleus sequencing, Patch sequencing, spatial genomics and so on. The material will also cover how these new technologies could contribute to new discoveries in Neuroscience researches.

This tutorial is geared to new MSI users and will provide a highlevel introduction to the facilities and computational resources at MSI.

This two part tutorial will introduce you to the concept of interactive high performance computing, and provide attendees hands-on experience running interactive parallel jobs on the Mesabi HPC 

Introduction to fundamentals of programming using the python language.

In this tutorial you will learn about the data storage systems available for academic research at the University of Minnesota

This tutorial will help users learn the basics of compiling and debugging their code on MSI systems

This tutorial is a lecture that covers basic experimental design principles as they pertain to single cell genomics.

Agenda:

   11:00 a.m. - 12:00 p.m.: Pathway Analysis Overview

   12:00 - 1:00 p.m.: Break

   1:00 - 2:00 p.m.: Command Line Refresher / OpenOnDemand intro

   2:00 - 2:30 p.m.: Running and Interpreting Pathway Analyses

This session includes efficient data processing with NumPy and Scipy, data visualization, and techniques for using Python to drive parallel supercomputing tasks.

This tutorial will help users learn the basics of parallel computation methods, including strategies for collecting calculations together for parallel execution