IPA is a powerful analysis and search tool that uncovers the significance of omics data and identifies new targets or candidate biomarkers within the context of biological systems.
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.
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.
If you are new to bioinformatics this is the best place to start.
This hands-on tutorial will help a new user understand how to use the the Galaxy platform to analyze NGS data by working though the quality control steps needed for Illumina sequencing data.
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).
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.
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