CRISPR CAS Hands-On Workshop

This comprehensive, hands-on workshop delivers the core computational skills required to design, evaluate, and execute precision CRISPR genome editing workflows. As genetic engineering rapidly evolves, traditional trial-and-error methods are being replaced by AI-driven predictive algorithms. In this practical technical training, you will bridge the gap between genomic theory and functional bioinformatics by navigating the entire in silico design pipeline. Participants will learn to leverage advanced deep learning tools to evaluate target gene architecture, identify optimal protospacer adjacent motifs (PAM), and rank single-guide RNAs (sgRNAs) with maximum on-target efficacy. Moving beyond basic lookups, the curriculum explores the mechanics of mismatch tolerance, chromatin accessibility, and structural molecular visualization of Cas complexes. By combining deep-learning-based on-target scoring with exhaustive, genome-wide off-target analysis, you will gain the predictive confidence needed to mitigate unwanted mutations. Whether you are targeting protein-coding exons, non-coding introns, or planning high-throughput functional genomic screens, this masterclass equips you with the end-to-end analytical framework to design bulletproof gene-editing experiments.