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.
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.
This tutorial will help users learn the basics of parallel computation methods, including strategies for collecting calculations together for parallel execution. A brief description of parallel programming using MPI message passing will be given.
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.
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 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.