Computational requirements for running the H3ABioNet GWAS workflows. - Lecture 1 H3ABioNet 2018 GWAS Lecture series

<div> <h4>Computational requirements for running the H3ABioNet GWAS workflows</h4> <p>The first of a series of seven online lectures for Genome Wide Association Studies (GWAS) will cover the technical requirements for setting up a your computational environment for running the H3ABioNet GWAS workflows. In this inaugural lecture of the series, Prof. Hazelhurst will cover the the following topics:<br> 1. Installing and using Nextflow<br> 2. Installing and using Github<br> 3. Use of containers for packaging and running tools<br> 4. Pulling the GWAS pipeline from Github and running it</p> <p>As this lecture aims to provide attendees with an environment to the run the H3ABioNet GWAS workflow at their own pace, there are some preliminary software requirements:<br> 1. Either a Linux machine or an Apple running macOS<br> 2. Ideally you should have machine with at least 2-4 cores and 8GB of RAM.<br> 3. Java 8<br> 4. Nextflow installed (see installation instructions at https://www.nextflow.io/)<br> 5. Python 3</p> <p>Please also install either Docker OR the following dependencies using pip3:<br> Pandas, Matplotlib, Openpyxl, SciPy, NumPy<br> PLINK 1.9</p> <p>[Please also refer to the following documentation to obtain the H3ABioNet GWAS workflow]:<br> https://github.com/h3abionet/h3agwas/blob/master/README.md</p> </div>