WGS Masterclass: Variant Calling & Genome Assembly Pipelines- recorded course
Master high-throughput next-generation sequencing workflows to reconstruct and analyze whole genomes. Deploy industry-standard computational pipelines for precision variant discovery and structural genomics.
- 5.0/5
- English
- Updated Aug 2026
About this course
Welcome to the definitive self-paced masterclass designed to equip you with end-to-end expertise in Whole Genome Sequencing (WGS) data analytics. As the cost of genomics plummets, the bottleneck in medicine and life science research has shifted from generating sequence data to extracting actionable insight. This advanced computational biology program breaks down the complex journey from raw sequencing reads to fully assembled genomes and identified genetic variants. You will gain extensive experience working with real-world clinical and environmental sequencing datasets. The curriculum walks you step-by-step through high-throughput read alignment, quality control protocols, and biological database integration. Furthermore, you will delve into structural annotation techniques, mapping Single Nucleotide Polymorphisms (SNPs) and complex insertions or deletions. By bridging foundational algorithms with modern AI-driven variant prioritization concepts, this masterclass provides the skills required to spearhead precision medicine and automated genomic healthcare research globally.
What you will learn
Skills you will gain
Certification
Available
Issued by Dr. OmicsCourse curriculum
1 moduleWhat you need to start
- A foundational understanding of general genomics, inheritance, and the central dogma of molecular biology.
- Basic familiarity with command-line operations (Linux/Unix environment basics) is highly advantageous but not mandatory.
- A computer running a stable operating system with an active internet connection to interact with cloud bioinformatics servers.
Who this course is for
- Bioinformaticians and Computational Scientists aiming to dominate high-throughput whole genome data processing fields.
- Geneticists and Life Science Postgraduates transitioning from basic PCR techniques to advanced global multi-omic sequencing projects.
- Clinical Informatics Specialists wanting to understand the computational pipelines behind modern diagnostic variant discovery reports.
- AI Developers and Biotech Engineers seeking to deeply grasp data formats before designing predictive machine learning diagnostics for medicine.