📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Basics of High-Throughput Sequencing, from foundations to a certified capstone project.
Outline
What is High-Throughput Sequencing (HTS)? • Overview of Next-Generation Sequencing (NGS) • Applications in Genomics, Transcriptomics, and Epigenomics • Importance of HTS in Modern Biological Research
Outline
Different Types of Sequencing Technologies (e.g., Illumina, PacBio, Oxford Nanopore) • How HTS Works: From Sample Preparation to Sequencing • Understanding Read Length and Coverage • Choosing the Right Sequencing Platform for Your Research
Outline
Sequencing Data Formats (FASTQ, BAM, VCF) • Quality Control of Sequencing Data • Introduction to Data Alignment and Mapping • Understanding Sequencing Depth and Accuracy
Outline
Whole Genome Sequencing and Variant Detection • RNA-Seq and Transcriptomic Analysis • Metagenomics and Microbiome Analysis • Applications in Disease Research, Drug Discovery, and Agriculture
Outline
Emerging Trends in HTS and Single-Cell Sequencing • Integration with AI and Big Data in Genomics • Career Opportunities in Genomics and Biotechnology • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in Basics of High-Throughput Sequencing
e-Certificate and e-Marksheet issued on successful completion.
