The RNA-Seq analysis tutorials includes two lectures and two hands-on guided tutorials. The lecture materials cover the basics of differential expression analysis and touches on other RNA-seq topics such as transcriptome assembly.
Deep Learning has emerged as an important new tool for a range of research applications. Emerging programs such as Caffe and Tensorflow are available at MSI and can be executed on Nvidia GPU resources.
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).
Introduction to common techniques for the analysis and quantitation of proteomics mass spectrometry ("mass spec") data. Topics covered will include the concept of Peptide-Spectra Matching (PSM) versus de novo sequencing, as well as the application of commonly used algorithms such as Andromeda (M
This two part tutorial will first introduce you to the concept of interactive high performance computing, as distinct from batch computing. We will cover the Citrix (Windows) and NICE EnginFrame (Linux) interactive computing environments hosted by MSI.
This tutorial will provide an introduction to the Linux operating system, with particular attention paid to working from the command line. The tutorial will cover basics such as fundamental commands, editing files, understanding directories and permissions, and remote access.
This tutorial will help users learn the basics of compiling and debugging their code on MSI systems. Particular attention will be paid to code written in Fortran, C, and C++. Basic methods for debugging will be outlined, with users being able to explore different debugging tools.