Whole Genome Variant Calling @ Galaxy (Udemy.com)
GATK4 Variant Calling Pipeline
Created by: Dr. Rashid Saif
Last updated August 2020
What you will learn
- GATK4 pipeline using Galaxy Platform
How it compares
Against the other 503 rated Udemy courses in Teaching & Academics on CourseDuck:
- Rating4.1 out of 5higher than 4% of them
- Reviews8#500 of 504 by number of reviews
- Length2.8 hoursshorter than 60% of them
- Last updatedAugust 2020earlier than 76% of them
Course Description
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.
Instructor Details
- 4.1 Rating
8 Reviews
Dr. Rashid Saif
Dr. Rashid Saif, serving as Associate Professor, Chairperson-Department of Life Sciences, and Director-ORIC at Qarshi University, Lahore, Pakistan, earned the prestigious ESKAS postdoc fellowship in Molecular Genetics & Bioinformatics at the University of Bern, Switzerland. At the Institute of Genetics, his research centered on NGS whole-genome sequencing data for selective sweep analysis in different livestock species employing Linux Bash, R, Ruby/Python scripting.
Dr. Rashid earned his PhD in Molecular Biology & Biotechnology from UVAS, Lahore, Pakistan. His doctoral research, conducted at the "Feline Genetics & Comparative Genomics Lab" at the University of Missouri-Columbia, USA, focused on GWAS using SNP-chip data to investigate progressive retinal atrophy and mammary tumors in Felis catus, employing the PLINK data analysis toolset. After completing his doctorate, he joined the Virtual University of Pakistan as an Assistant Professor and later served as Associate Professor at Gulab Devi Educational Complex, Lahore. Dr. Rashid’s research focuses on identifying genomic selection signatures and trait/disease-associated DNA variants in livestock, plants, and the human species. He also specializes in developing bioinformatics pipelines for multi-omics data analysis, leveraging Linux, R, and AI/ML algorithms to unlock genetic potential and study comparative genomics across species.
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Reviews
By Amit Kumar Pandey on 10/22/2024
it was highly informative and practical done was nicely demonstrated.
By Ali Khan on 11/25/2021
Most of the videos are incomplete, it ends before the completion of the step followed and specifically the first step is missing. I think it could have been better.
Quality Score
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Overall Score : 82 / 100






