Next Generation Sequencing (NGS)
Next Generation Sequencing (NGS)
- Introduction to NGS
- Overview of next-generation sequencing technology.
- Evolution of sequencing technologies: from Sanger sequencing to NGS.
- Key features: ultra-high throughput, scalability, and speed.
- Principles of NGS Technology
- Understanding the sequencing workflow: library preparation, sequencing, and data analysis.
- Platforms and technologies: Illumina, Ion Torrent, PacBio, and Oxford Nanopore.
- Comparison of sequencing approaches: whole genome, exome, transcriptome, and targeted sequencing.
- Applications of NGS
- Genome sequencing: de novo assembly and resequencing.
- RNA sequencing: transcriptomics and gene expression profiling.
- Epigenomics: studying DNA methylation and histone modifications.
- Metagenomics: microbial community analysis.
- Clinical applications: cancer genomics, infectious disease diagnostics, and personalized medicine.
- NGS Sample Preparation
- Overview of sample types: DNA and RNA.
- Library preparation: adapters, barcoding, and quality control.
- Target enrichment strategies: hybrid capture and amplicon-based approaches.
- Sequencing and Data Generation
- High-throughput sequencing workflow.
- Factors influencing sequencing quality: read length, depth, and coverage.
- Troubleshooting common issues in sequencing experiments.
- Data Analysis and Interpretation
- Introduction to bioinformatics pipelines for NGS data.
- Quality control and preprocessing of raw data.
- Alignment of reads to reference genomes.
- Variant calling: SNPs, indels, and structural variants.
- Data visualization and interpretation using tools like IGV (Integrative Genomics Viewer).
- Advanced NGS Techniques
- Single-cell sequencing: applications and challenges.
- Long-read sequencing technologies and their advantages.
- CRISPR-based approaches integrated with NGS.
- Challenges and Considerations in NGS
- Handling large-scale data: storage, processing, and interpretation.
- Understanding and addressing sequencing biases and errors.
- Ethical considerations and data privacy in genomic research.
- NGS in Research and Clinical Settings
- Real-world case studies highlighting NGS applications.
- Role of NGS in advancing precision medicine.
- Regulatory considerations in clinical NGS applications.
- Hands-on Training
- Practical exercises in library preparation and sequencing.
- Use of bioinformatics tools for analyzing NGS datasets.
- Project-based learning: designing and executing an NGS experiment.
Fee Structure
| 1 Month | 2 Months | 3 Months |
|---|---|---|
|
Rs. |
Rs. |
Rs. |
Rs.10,000., offer50% |
Rs.20,000., Offer 50% |
Rs.30,000., Offer 50% |
Target Audience: BSc/MSc/MTech/PhD students in Biotechnology, Genomics, Bioinformatics, or related fields
Location: Wet Lab + Bioinformatics Lab + Online Modules
Batch Size: 5–15 students
Mode: Onsite / Hybrid (based on resources)
Program Overview
This structured training program is designed to provide in-depth, hands-on experience in NGS technologies. The course offers scalable learning based on three levels of time commitment: 1-Month (Internship), 2-Months (Summer Internship), and 3-Months (Dissertation Project).
Key Objectives
- Learn DNA and RNA extraction protocols for various sample types
- Learn quality control (QC) methods for DNA/RNA
- Understand the principles of NGS technologies
- Gain wet lab experience in NGS sample preparation
- Understand sequencing workflows (Illumina)
- Perform basic to advanced bioinformatics analysis
- Learn to interpret, annotate, and visualize NGS data
1-Month Internship (Introductory Level)
Week 1: Introduction & Basics
- Sample types and nucleic acid extraction principles
- Hands-on: Genomic DNA and RNA extraction
- Spectrophotometric and fluorometric QC (Nanodrop, Qubit)
Week 2: Library Preparation
- Demonstration on shotgun library preparation
- Hands-on: Library preparation
- Library QC, validation and considerations for sequencing
Week 3: Sequencing & Run Setup
- Overview of Illumina sequencing platforms
- Cluster generation, sequencing-by-synthesis
- Hands-on: Loading libraries, sequencing run setup
Week 4: Introduction to Bioinformatics
- Introduction to FASTQ, QC tooll
- Basic trimming and filtering
Deliverables:
- Certificate of Internship
2-Month Summer Internship (Intermediate Level)
Includes all modules from the 1-Month Internship, plus:
Weeks 5–7: Mini Project
- Independent or group mini-project based on real or simulated NGS data
Week 8: Reporting & Review
- Data interpretation and graphical visualization
- Journal club: Presentation on recent NGS research paper
- Preparation of internship report and presentation
Deliverables:
- Internship Completion Certificate
- Mini-project Report with Results
3-Month Dissertation/Research Project (Advanced Level)
Project Options (based on interest):
- Whole Exome Sequencing for Disease Gene Identification
- Microbiome Analysis (16S rRNA Amplicon Sequencing)
- Transcriptome Profiling (RNA-Seq)
- De novo Assembly (for non-model organisms)
Hands-on Workflow:
- Sample-to-sequencing wet lab pipeline
- Statistical analysis and visualization using R and Python
Scientific Communication:
- Writing dissertation/thesis chapters
- Final presentation to the team
Deliverables:
- Dissertation Project Certificate
Add-ons
- Guest lectures from NGS scientists and industry professionals
- Certificate in “Applied NGS Technologies”
- LinkedIn profile badge for skill completion
Project Running and Training cost: Rs. 25,000
Bring your own projects or be part of our on-going NGS projects and learn end to end (duration 45DAYS )