Whole Genome Analysis workshop
From Raw Reads to Precision Medicine: Master Genomic Data with AI-Driven Insights Master the architecture of life using Next-Generation Sequencing (NGS) and advanced machine learning pipelines.
Course Description
In the era of precision medicine, Whole Genome Analysis (WGA) is the gold standard for understanding genetic variation, disease predisposition, and evolutionary biology. This comprehensive workshop bridges the gap between raw biological data and actionable clinical insights. Participants will navigate the entire NGS workflow, from quality control of raw FASTQ files to the complexities of de novo assembly, variant calling, and functional annotation.
The 2026 edition of this course uniquely integrates Generative AI and Large Language Models (LLMs) specifically fine-tuned for genomics, such as AlphaFold-3 and specialized Bio-GPTs. You will learn how to automate bioinformatic pipelines, predict protein-ligand interactions, and interpret non-coding regions using AI-powered predictive modeling. Whether you are identifying rare mutations or exploring population genetics, this hands-on training provides the computational rigor and AI literacy required for modern life science research.
What You'll Learn
The principles of Short-read (Illumina) and Long-read (PacBio/Oxford Nanopore) sequencing.
How to perform Read Alignment and mapping to reference genomes (GRCh38).
Techniques for De Novo Assembly and scaffolding for non-model organisms.
Identifying Single Nucleotide Polymorphisms (SNPs) and Structural Variants (SVs).
Applying LLMs for Genomics to summarize literature and annotate gene functions.
Curriculum
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