| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | SNPs (Single Nucleotide Polymorphisms) Genomic Variants Genomic Data Mutation Detection Next-Generation Sequencing (NGS) |
About the Basics of SNPs and Genomic Variants Course
The Basics of SNPs and Genomic Variants course is a free, beginner-friendly self-paced program designed to introduce learners to the concepts of Single Nucleotide Polymorphisms (SNPs) and genomic variants, and how they impact genetic research, disease studies, and personalized medicine.
The course explains the fundamentals of SNPs and other genetic variants such as insertions, deletions, and structural variations. Learners will explore how these variations affect gene function, contribute to diseases, and are studied through bioinformatics and genomics tools.
Program Highlights
• Free beginner-level course on SNPs and genomic variants
• Online self-paced learning format
• Simple explanation of SNPs, mutations, and genetic variants
• Covers SNP identification, genomic data, and variant analysis basics
• Real-world examples from genetic research and disease studies
• Suitable for students and non-technical learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to SNPs and Genomic Variants
- What are SNPs (Single Nucleotide Polymorphisms)?
- Types of Genomic Variants (SNPs, InDels, CNVs)
- Role of Genetic Variants in Genomics
- Applications in Medicine and Biotechnology
Module 2: Understanding Genomic Variants
- Types of Genetic Variants: SNPs, Insertions, Deletions, and Structural Variants
- How Variants Affect Genes and Proteins
- Understanding Mutations and Their Impact on Health
- Genetic Variation in Populations
Module 3: Identifying SNPs and Genomic Variants
- Techniques for SNP Detection
- Genomic Databases and Variant Repositories
- Next-Generation Sequencing (NGS) and SNP Analysis
- Tools for SNP Annotation and Interpretation
Module 4: Applications of SNPs and Genomic Variants
- Genomic Variants in Disease Research (Cancer, Genetic Disorders, etc.)
- SNPs in Personalized Medicine and Pharmacogenomics
- Genetic Markers for Disease Susceptibility
- Genomic Variants in Agriculture and Biotechnology
Module 5: Future Scope and Learning Path
- Emerging Technologies in Variant Detection
- Role of AI and Big Data in Genetic Studies
- Career Opportunities in Genomics, Bioinformatics, and Medicine
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
SNPs (Single Nucleotide Polymorphisms) Genomic Variants Genomic Data Mutation Detection Next-Generation Sequencing (NGS)
Real-World Applications
- Studying SNPs and their role in disease mechanisms
- Identifying genetic markers for drug response and disease susceptibility
- Supporting genetic research in oncology, cardiovascular, and neurological diseases
- Using genomic variants in agricultural improvement and biotechnology
- Preparing for advanced learning in bioinformatics, genomics, and personalized medicine
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, biotechnology learners, life science learners, healthcare professionals, and researchers interested in genetic variants and SNP analysis.
- It is also useful for learners from bioinformatics, biotechnology, genomics, genetics, molecular biology, and biomedical science backgrounds.
Certification
