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. In this tutorial, MSI and Nvidia instructors will walk through an interactive exercise running some of these programs. Participants will be able to login to a node with a GPU to work through introductory exercises. We will also show how to run these programs in batch jobs on MSI systems.
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 (Maxquant), Comet (Sequest), and Mascot. Key parameters for different search engines will be discussed along with the statistical significance of their respective outputs. Statistics for these data types - and how quantitation can be done for different experimental setups - will be discussed in the
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.
This practical, hands-on tutorial is designed to give participants experience with ChIP-Seq data analysis using the Galaxy platform. The analysis in this tutorial is typical of experiments using ChIP-Seq data to identify transcription factor binding sites in eukaryotic, high quality genomes.
This is a practical, hands-on tutorial designed to give participants experience with RNA-Seq data analysis using Tophat, Cufflinks, and CummRbund in Galaxy. The analysis in this tutorial is typical of experiments in eukaryotic species with high-quality genomes and genome annotation available. Participants are expected to be familiar with next-generation sequence data, basic theory of RNA-Seq, and Galaxy. Participants do not need previous experience with Tophat, Cufflinks, or CummRbund.
This lecture will cover the basics of RNA-Seq experimental design and data quality assessment, followed by an overview of data analysis for the detection of differentally expressed genes. Specific subtopics include:
This hands-on tutorial will cover installation and use of the SMRT portal at MSI to analyze PacBio sequencing data. The basics of full genome assembly and transcript assembly will be covered. At the end of this tutorial, participants should be able to:
This lecture will cover the special capabilities and use cases of PacBio sequencing as well as the basics of data analysis. Specific subtopics include:
- Technology overview (physical basis of sequencing, pros and cons compared with other sequencing technologies)
- De novo assembly applications (N50 and other assembly concepts, HGAP algorithm, diploid assembly)
- IsoSeq transcriptome assessment (motivation, experimental procedure, biological applications, analysis approaches)
- Visualization of PacBio data with new IGV features
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.