CRISPR-Cas9: Gene Editing and Bioinformatics Perspectives

Master the Molecular Scissors: From AI-Driven gRNA Design to Clinical Breakthroughs

Workshop Live All Levels Dr. Omics
Language English
Level All Levels
Updated Mar 2026
CRISPR-Cas9: Gene Editing and Bioinformatics Perspectives

Course Description

Unlock the future of genetic engineering in this comprehensive webinar exploring the convergence of CRISPR-Cas9 technology, Bioinformatics, and Artificial Intelligence. As we move into 2026, the field has shifted from basic gene-silencing to high-precision medicine and climate-resilient agriculture. This session dives deep into the computational workflows essential for modern genome editing, including the use of Machine Learning to predict on-target efficiency and minimize off-target risks. You will explore the latest advancements in Base Editing, Prime Editing, and the role of deep learning models like TIGER and CRISPR-Net in automating experimental design. Whether you are a researcher or a student, this webinar provides the technical edge needed to navigate the evolving landscape of Next-Generation Sequencing (NGS) data analysis and functional genomics. Join us to bridge the gap between wet-lab precision and dry-lab intelligence.

What You'll Learn

Molecular Foundations: Understand the structural biology of Cas9, Cas12a, and Cas13 systems.

AI-Enhanced Design: Master computational tools for predicting gRNA efficacy and off-target effects.

Bioinformatics Pipelines: Learn to process and interpret CRISPR screening data using R and Python.

Advanced Modalities: Differentiate between traditional NHEJ/HDR repair, Base Editing, and Prime Editing.

Therapeutic Applications: Explore real-world case studies in oncology, rare diseases, and immunotherapy.

Regulatory & Ethical Landscape: Navigate the 2026 global frameworks for gene-edited products and clinical trials.

Curriculum

  • Molecular Foundations: Understand the structural biology of Cas9, Cas12a, and Cas13 systems.
    Lesson
  • AI-Enhanced Design: Master computational tools for predicting gRNA efficacy and off-target effects.
    Lesson
  • Bioinformatics Pipelines: Learn to process and interpret CRISPR screening data using R and Python.
    Lesson
  • Advanced Modalities: Differentiate between traditional NHEJ/HDR repair, Base Editing, and Prime Editing.
    Lesson
  • Therapeutic Applications: Explore real-world case studies in oncology, rare diseases, and immunotherapy.
    Lesson
  • Regulatory & Ethical Landscape: Navigate the 2026 global frameworks for gene-edited products and clinical trials.
    Lesson
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