GWAS Hands on Workshop
Master Genome-Wide Association Studies using AI-driven bioinformatics tools. Hands-on training in GWAS analysis, statistical genetics, and precision genomics.
Course Description
This intensive 5-day GWAS workshop is designed to provide comprehensive, hands-on training in Genome-Wide Association Studies (GWAS), statistical genetics, and AI-powered bioinformatics analysis. Participants will learn how to process large-scale genomic datasets, perform quality control, conduct association testing, and interpret results using modern computational tools. The course integrates machine learning in genomics, polygenic risk scoring, and precision medicine applications.
Through real-world datasets and guided practical sessions, learners will explore tools such as PLINK, R, Python, and cloud-based genomic analysis platforms. The workshop emphasizes data-driven insights, reproducible research, and AI-enhanced workflows for high-throughput genomics. By the end of the program, participants will be equipped to independently conduct GWAS projects and apply findings in research, healthcare, and biotechnology.
This program is ideal for researchers aiming to integrate AI in genomics, big data analytics, and computational biology into their workflows.
What You'll Learn
Fundamentals of Genome-Wide Association Studies
Study design for complex trait genetics
Statistical models for association testing
Multiple testing correction & false discovery rate
AI-driven predictive genomics
Functional annotation and pathway analysis
Integration of GWAS with multi-omics data
Ethical considerations in genomic research
Translating GWAS findings into precision medicine
Curriculum
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1: Foundations of GWAS & Genomic Data
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2: Data Quality Control & Preprocessing
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3: Association Analysis & Visualization
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4: AI & Machine Learning in Genomics
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5: Functional Interpretation & Advanced Topics
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