MSI has deployed a cloud service for research computing called Stratus. In its initial iteration, Stratus is designed expressly to satisfy the requirements set forth by the NIH Genomic Data Sharing (GDS) Policy for data from the Database of Genotypes and Phenotypes (i.e., dbGaP data). This tutorial introduces Stratus to users who wish to process dbGaP data at MSI, and gives them an interactive lesson on how to access the service, deploy their first virtual machines, and move data through multiple tiers of storage.
Python is a modern general purpose programming language that is popular in scientific computing for its readable syntax and extremely rich ecosystem of scientific and mathematical modules. The morning section will provide an introduction to some widely used packages, including common idioms for manipulating and visualizing data. The afternoon section will cover advanced modules and techniques relevant to high performance computing.
In this tutorial you will learn about the data storage systems available for academic research at the University of Minnesota. An overview of the kinds of storage systems that are available, policies for getting access to them, a comparison of their characteristics, and examples of how they can be accessed will be presented. You will also be given an overview of how the characteristics of UMN storage will impact the stability and throughput of various applications and workflows.