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Whole Genome Variant Calling @ Galaxy
Rating: 4.1 out of 5(8 ratings)
67 students

Whole Genome Variant Calling @ Galaxy

GATK4 Variant Calling Pipeline
Created byDr. Rashid Saif
Last updated 8/2020
Urdu

What you'll learn

  • GATK4 pipeline using Galaxy Platform

Course content

1 section17 lectures2h 48m total length
  • Uploading input files22:37
  • Concatenating datasets & SnpEff build12:47
  • Trimming & editing fastq reads using fastp26:59
  • Quality checks with MultiQC14:13
  • Faster downloading & extracting reads in fastq format from SRA11:58
  • Mapping with BWA-MEM7:01
  • Filtering BAM files6:56
  • Converting unmapped BAM to FASTQ files4:55
  • Mapping with Bowtie2-UK vs Wuhan Strains9:35
  • Adding or replacing read groups7:01
  • Sorting input SAM or BAM file3:15
  • Marking Duplicates3:00
  • Variant calling with Mutect25:24
  • Spliting gaps or mismatches into multiple VCF lines with vcfAllelicPrimitives5:21
  • Extracting fields from VCF file into a tabular file5:55
  • Variant annotation & effect prediction19:32
  • Concatenating datasets (Final Results)2:24

Requirements

  • Basics knowledge of genomics and sequencing technologies.

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.

Who this course is for:

  • Undergraduate and postgraduate students in the field of Biotechnology, Microbiology, Genetics, Bioinformatics and other related disciplines in life sciences.