GATK4 pipeline using Galaxy is a scientific workflow especially for the students not having expertise in Linux operating system and other command-line interfaces (CLI) for NGS data analysis. This course will cater to undergraduate and postgraduate students from a wide range of life sciences disciplines including biotechnology, microbiology, biochemistry, and molecular biosciences to work independently from data retrieval to publishing their articles. A plethora of NGS data tools are available on a single platform, otherwise, it's very difficult to manage all the latest releases of software/tools on your personal computers, if yes, we have other space, storage, and expertise issues to work on CLI being a biology student at an individual level. No doubt there are cloud computing and commercial high performance computing cluster facilities are available in the world but this course will provide you the insight that how to analyze multi-omics data with limited financial resources without having much expertise in programming, Bash scripting, R statistical packages, and knowhow to computer languages e.g. Python.This course is the start of NGS multi-omics data analysis world, once the students are done with this basic course, they would be in a better position to understand the same analysis using Linux CLI bash scripting for analyzing their bigger genomes.
What you'll learn
understanding the GATK4 pipeline
analyzing NGS data with Galaxy
managing multi-omics data
Course objectives
to provide a beginner-friendly introduction to NGS data analysis
to enable students to publish their findings independently
to familiarize students with cloud-based data analysis tools