Learning

Identifying and Prioritizing Causative Variants in Genomic Data

NGS Technologies and Data Formats → Causative Variant Prioritization Strategies

This advanced graduate-level learning path equips medical bioinformatics students with the skills to identify and prioritize causative variants from genomic data. Starting from foundational NGS concepts, it covers variant calling for SNVs/indels, CNVs, and structural variants, followed by annotation and filtering strategies to rank candidate variants. The path emphasizes practical application in a clinical or research context.