Introduction

Next-Generation Sequencing (NGS) has revolutionized genomics, enabling unprecedented insights into genetic information, disease mechanisms, and personalized medicine. This intensive training course provides hands-on experience with cutting-edge NGS technologies, bioinformatics pipelines, and data interpretation. Participants will gain expertise in genomic data analysis, variant calling, RNA-Seq profiling, and advanced visualization techniques using industry-standard tools. With the rapid evolution of NGS applications in clinical diagnostics, cancer genomics, microbiome analysis, and precision medicine, this program equips professionals with practical skills to stay ahead in the genomics landscape.

Next-Generation Sequencing (NGS) Analysis Training Course is designed for researchers, clinicians, bioinformaticians, and laboratory professionals seeking to master the full spectrum of NGS workflows. Through interactive lectures, real-world case studies, and guided exercises, participants will develop proficiency in experimental design, data quality assessment, alignment strategies, functional annotation, and downstream analysis. Emphasis is placed on integrating computational tools with experimental insights, ensuring participants can confidently interpret complex datasets, accelerate research discoveries, and implement NGS in clinical or translational research environments.

Programme Curriculum

Next-Generation Sequencing (NGS) Analysis Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand the principles and technologies behind Next-Generation Sequencing (NGS).
Master NGS experimental design for genomics, transcriptomics, and epigenomics studies.
Perform high-quality NGS data preprocessing, including quality control and trimming.
Execute accurate sequence alignment and mapping using modern bioinformatics tools.
Detect genomic variants including SNPs, indels, CNVs, and structural variations.
Conduct RNA-Seq analysis for differential gene expression and functional profiling.
Analyze epigenetic modifications using ChIP-Seq and methylation sequencing techniques.
Apply metagenomics workflows for microbiome and pathogen detection.
Integrate multi-omics data for comprehensive systems biology insights.
Utilize visualization tools for genome browsers, heatmaps, and interactive plots.
Interpret results in clinical genomics, personalized medicine, and disease research.
Implement reproducible NGS workflows using workflow managers and cloud solutions.
Stay updated with emerging trends, AI-driven analytics, and NGS automation technologies.

Target Audience

Bioinformaticians seeking advanced NGS analysis skills
Genomic researchers in academic or clinical labs
Molecular biologists transitioning to computational genomics
Clinical laboratory scientists and technicians
Data scientists in healthcare and genomics fields
Graduate students in genomics, biotechnology, or bioinformatics
Healthcare professionals involved in precision medicine
Pharmaceutical and biotechnology R&D specialists

Course Modules

Module 1: Introduction to NGS Technologies

Overview of NGS platforms
Comparative advantages
Workflow from sample prep to sequencing output
Quality control metrics and troubleshooting common issues
Case Study: Choosing the right NGS platform for cancer genomics

Module 2: Experimental Design and Library Preparation

Targeted sequencing vs whole-genome sequencing
RNA-Seq, ChIP-Seq, and single-cell sequencing library prep
Multiplexing strategies and barcode design
Sample quality assessment and quantification methods
Case Study: Optimizing library prep for low-input clinical samples

Module 3: NGS Data Preprocessing

Quality assessment using FastQC and MultiQC
Adapter trimming and filtering low-quality reads
Removal of contamination and duplicates
Read normalization techniques
Case Study: Preprocessing RNA-Seq data for differential expression

Module 4: Sequence Alignment and Mapping

Reference genome selection and indexing
Alignment tools
Handling multi-mapping reads and low-quality regions
Post-alignment processing
Case Study: Aligning whole-genome sequencing data for variant detection

Module 5: Variant Calling and Annotation

SNP, indel, and CNV detection pipelines
Variant annotation using ANNOVAR, SnpEff
Filtering and prioritizing variants for clinical relevance
ClinVar, gnomAD, COSMIC
Case Study: Identifying actionable mutations in cancer genomes

Module 6: RNA-Seq and Transcriptomics Analysis

Quantification of gene expression using HTSeq and featureCounts
Differential expression analysis with DESeq2 and edgeR
Functional enrichment and pathway analysis
Transcript isoform detection and alternative splicing
Case Study: RNA-Seq profiling in disease vs healthy tissue

Module 7: Epigenomics and Metagenomics Analysis

ChIP-Seq peak calling and motif analysis
DNA methylation profiling and bisulfite sequencing
Microbiome diversity analysis using Kraken2 and QIIME2
Integrating epigenetic and microbial datasets
Case Study: Epigenetic modifications in drug-resistant bacterial strains

Module 8: NGS Workflow Integration and Data Interpretation

Reproducible workflows using Snakemake and Nextflow
Cloud computing and high-performance computing pipelines
Visualization with IGV, UCSC Genome Browser, and R packages
Multi-omics integration for personalized medicine applications
Case Study: Building a clinical NGS pipeline for rare disease diagnostics

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Sequence alignment Variant analysis Data interpretation Genomic visualization

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000