Intel will be providing training, to help software developers optimize their codes for the Xeon Phi coprocessor. This training is being held at the Minnesota Supercomputing Institute at the University of Minnesota. Current University students, staff, and faculty are invited.
This tutorial is paired with Analyzing ChIP-Seq Data using Galaxy and will take the user though the same steps but, using the command line versions of the tools used in the Galaxy environment. This tutorial will:
1. Provide a brief introduction to MSI systems.
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.
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.
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.