AI-Driven CRISPR Guide RNA Design & Off-Target Prediction

CRISPR-Cas9 has revolutionized genetic engineering, enabling precise editing of DNA. However, one of the challenges in using CRISPR is the potential for off-target effects that can lead to unintended genetic modifications. This workshop focuses on leveraging AI to design optimized guide RNAs that improve the specificity and efficiency of CRISPR-based genome editing. By integrating machine learning algorithms and large-scale genomic data, participants will learn to predict and minimize off-target effects in gene editing experiments. Over three days, the workshop will cover the fundamentals of CRISPR-Cas9 technology, the design of gRNAs using AI, and methods to predict and validate off-target effects. Hands-on sessions will allow participants to practice designing guide RNAs and running prediction models for off-target identification using AI-based tools.