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Analytics 2: Introduction to the command-line for Bioinformatics

Course Content

This course offers an introduction to working with Linux. We will describe the Linux environment so that participants can start to utilize command-line tools and feel comfortable using a text-based way of interacting with a computer. We give example of processing data arising from Next-Generation Sequencing experiments, in particular an RNA-seq experiment.

Pre-requisites

No prior programming experience is required. Computers will be provided. You can bring your own laptop to the workshop if you wish but it will need a working wi-fi connection and you will have to let the tutor know in advance so a temporary York password can be created for you.

Learning Outcomes

After this course you should be able to:

  • Connect to a Unix / Linux system
  • Navigate around a file system by issuing commands; rather than using a Desktop environment
  • Move and copy files and directories within the Linux system
  • Work with text files
  • Run programs from the command-line
  • Run quality assessment tools on data derived from High-throughput sequencing experiments
  • Write short scripts to document an analysis

Schedule (Provisional)

Amazon

  • ami-0f9124f7452cdb2a6
  • User data
#!/bin/bash

sudo apt-get update
sudo apt-get install -y docker.io
sudo service docker start
sudo usermod -aG docker $username
sudo docker pull markdunning/rnaseq-toolbox
docker run -p 6080:80 markdunning/rnaseq-toolbox
  • Default security group
  • white_rose_analytics2 RSA key

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