Introduction

In the era of precision medicine, genomic data analysis plays a pivotal role in transforming healthcare by uncovering the genetic underpinnings of diseases. Genomic Data Analysis for Disease Research Training Course equips researchers, bioinformaticians, healthcare professionals, and data scientists with hands-on skills to interpret complex genomic datasets and apply cutting-edge computational tools to disease research. This course is designed to bridge the gap between genomic science and clinical application by exploring next-generation sequencing (NGS), genome-wide association studies (GWAS), and variant calling pipelines to drive personalized medicine.

With the exponential growth of genomic data, it is crucial to understand how to manage, analyze, and derive meaningful insights for disease prediction, diagnosis, and treatment. This course emphasizes data-driven research, bioinformatics tools, and real-world case studies focused on diseases such as cancer, diabetes, and rare genetic disorders. Participants will master the use of platforms like R/Bioconductor, Python for genomics, UCSC Genome Browser, and cloud-based analysis via Amazon Web Services (AWS) and Google Genomics. The training is structured for both foundational learning and advanced practical application in biomedical research and public health.

Programme Curriculum

Genomic Data Analysis for Disease Research Training Course

Introduction

Course Objectives

Understand the fundamentals of genomics and bioinformatics.
Apply next-generation sequencing (NGS) data for disease research.
Utilize machine learning in genomic data interpretation.
Perform variant calling and annotation using open-source tools.
Explore RNA-Seq and transcriptomics for disease expression analysis.
Analyze data using R/Bioconductor and Python libraries.
Leverage cloud computing in genomics (AWS & Google Cloud).
Conduct genome-wide association studies (GWAS).
Evaluate epigenomic data for disease biomarkers.
Interpret clinical genomics datasets for diagnostics.
Integrate multi-omics data for systems biology.
Develop data visualization techniques for genomic insights.
Apply ethical and regulatory frameworks in genomic research.

Target Audiences

Biomedical researchers
Bioinformatics analysts
Clinical geneticists
Medical students and healthcare professionals
Public health specialists
Biotech and pharmaceutical scientists
Data scientists entering life sciences
Academic educators and postgraduate students

Course Duration: 5 days

Course Modules

Module 1: Foundations of Genomic Science

Overview of DNA, RNA, and genes
Introduction to genomics and transcriptomics
Key databases (NCBI, Ensembl, UCSC)
Central dogma in disease mechanisms
Ethical considerations in genomic research
Case Study: Genetic basis of cystic fibrosis

Module 2: Bioinformatics Tools and Pipelines

Introduction to Bioconductor and Galaxy
Setting up genomic workflows
File formats: FASTQ, BAM, VCF
Basic scripting with Bash and Python
Annotation tools and reference genomes
Case Study: Bioinformatics pipeline for rare genetic diseases

Module 3: Next-Generation Sequencing (NGS) Data Analysis

Sequencing technologies overview
Read alignment and quality control
Variant calling and filtering
Visualization with IGV
Practical lab using sample datasets
Case Study: Cancer genomics using NGS

Module 4: RNA-Seq and Transcriptomics

RNA-Seq experimental design
Data preprocessing and normalization
Differential gene expression analysis
Functional enrichment (GO/KEGG)
Visualization using heatmaps and volcano plots
Case Study: RNA-Seq in Alzheimer’s disease research

Module 5: GWAS and Population Genomics

GWAS principles and workflows
SNP analysis and LD structures
Case/control study designs
Interpretation of GWAS hits
Risk prediction models
Case Study: GWAS in Type 2 Diabetes

Module 6: Epigenomics and Disease Biomarkers

DNA methylation and histone modification
ChIP-Seq and ATAC-Seq basics
Integration with transcriptomics
Epigenetic changes in cancer
Biomarker discovery pipelines
Case Study: Epigenetic signatures in breast cancer

Module 7: Cloud-Based Genomic Data Analysis

Overview of cloud platforms (AWS, Google Genomics)
Genomic pipeline deployment
Cost-effective storage and computing
Containerization with Docker
Collaborative genomic platforms
Case Study: Scalable TB genomics project in Africa

Module 8: Ethics, Law, and Future of Genomics

Genetic data privacy laws (HIPAA, GDPR)
Informed consent in genetic research
Commercial genomic testing ethics
Future of AI in genomics
Diversity and inclusion in genomic datasets
Case Study: Ethical dilemma in CRISPR clinical trials

Training Methodology

Instructor-led lectures and video tutorials
Hands-on bioinformatics labs with real datasets
Interactive quizzes and discussion forums
Group projects and peer reviews
Use of open-source tools and cloud platforms

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

Genomics bioinformatics disease modeling

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