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.
Course Description
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'll Learn
Manage raw Next-Generation Sequencing (NGS) data through stringent quality assessment and filtering protocols.
Perform de novo and reference-guided genome assemblies using leading computational algorithms.
Configure automated command-line pipelines for aligning large-scale genomic reads back to reference scaffolds.
Execute accurate single-nucleotide and structural variant calling workflows to locate phenotypic mutations.
Curriculum
-
Module 1: Next-Generation Sequencing Architecture and Preprocessing Quality Controls for Whole Genome Data.
Lesson -
Module 2: Reference-Based and De Novo Genome Assembly Workflows Using High-Performance Computing Tools.
Lesson -
Module 3: Read Mapping, Genomic Alignment Algorithms, and SAM/BAM File Manipulation Pipelines.
Lesson -
Module 4: Statistical Frameworks for Variant Calling, Genotyping, and Filtering False Positives.
Lesson -
Module 5: Functional Variant Annotation, Variant Call Format (VCF) Analytics, and Downstream Machine Learning Readiness.
Lesson
