Master Basics of SNPs and Genomic Variants in 4 weeks through hands-on, project-based online training with DSTC.
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. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
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.
1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
β’ Master's and senior undergraduate students specializing in Artificial Intelligence
β’ R&D engineers and working professionals applying Artificial Intelligence in industry
β’ Academics and educators building research or teaching capacity in Artificial Intelligence
β’ Tangible, reproducible Artificial Intelligence work to show supervisors or employers.
β’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
What are SNPs (Single Nucleotide Polymorphisms)? β’ Types of Genomic Variants (SNPs, InDels, CNVs) β’ Role of Genetic Variants in Genomics β’ Applications in Medicine and Biotechnology
Types of Genetic Variants: SNPs, Insertions, Deletions, and Structural Variants β’ How Variants Affect Genes and Proteins β’ Understanding Mutations and Their Impact on Health β’ Genetic Variation in Populations
Techniques for SNP Detection β’ Genomic Databases and Variant Repositories β’ Next-Generation Sequencing (NGS) and SNP Analysis β’ Tools for SNP Annotation and Interpretation
Genomic Variants in Disease Research (Cancer, Genetic Disorders, etc.) β’ SNPs in Personalized Medicine and Pharmacogenomics β’ Genetic Markers for Disease Susceptibility β’ Genomic Variants in Agriculture and Biotechnology
Emerging Technologies in Variant Detection β’ Role of AI and Big Data in Genetic Studies β’ Career Opportunities in Genomics, Bioinformatics, and Medicine β’ Mini Learning Activity / Concept-Based Practice
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | SNPs (Single Nucleotide Polymorphisms) |
| Covered Tool / Platform | Genomic Variants |
| Covered Tool / Platform | Genomic Data |
| Covered Tool / Platform | Mutation Detection |
| Covered Tool / Platform | Next-Generation Sequencing (NGS) |
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