Course Description
The Introduction to Whole Genome Sequencing (WGS) course provides a foundational understanding of sequencing technologies, data analysis, and applications in genomics research. Participants will explore the entire workflow of WGS, from experimental design and data generation to computational analysis and biological interpretation. This course emphasizes both theoretical concepts and practical skills, preparing learners to confidently analyze and interpret whole-genome datasets.
Designed for students, researchers, and professionals in genomics and bioinformatics, the course offers hands-on experience with state-of-the-art tools and workflows used in WGS projects.
What You’ll Learn?
- The principles of whole-genome sequencing and its applications in genomics research.
- Key steps in the WGS pipeline, including data preprocessing, assembly, and variant calling.
- Practical experience with tools such as FastQC, BWA, SAMtools, and GATK for WGS data analysis.
- Strategies for quality control, data visualization, and biological interpretation of genomic results.
- Insights into experimental design considerations for successful WGS projects.
Lessons:
