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The “Genome Editing Technologies: Principles and Applications” program offers a comprehensive exploration of the tools and methods used to modify genetic material. Throughout this one-month intensive program, participants will delve into the science behind genome editing, including CRISPR, TALENs, and ZFNs, and their applications in treating genetic disorders, enhancing agricultural productivity, and developing new therapeutic approaches.
The “Genome Editing Technologies: Principles and Applications” program offers a comprehensive exploration of the tools and methods used to modify genetic material. Throughout this one-month intensive program, participants will delve into the science behind genome editing, including CRISPR, TALENs, and ZFNs, and their applications in treating genetic disorders, enhancing agricultural productivity, and developing new therapeutic approaches.
This program is designed to equip participants with a robust understanding of genome editing technologies and their transformative impact across various sectors. By exploring both the principles and diverse applications of these technologies, students will be prepared to lead and innovate in the dynamic fields of genetics, agriculture, and medicine.
Professional Certification Program
Week 1: Fundamentals of Genome Editing Technologies
Introduction to gene structure and regulation
Evolution of genome editing: ZFNs, TALENs, CRISPR
Mechanisms of site-specific DNA cleavage and repair
NHEJ vs HDR: pathway selection and outcomes
Week 2: CRISPR and Beyond – Mechanisms and Toolkits
CRISPR-Cas9 and its variants (Cas12, Cas13)
Guide RNA design and PAM sequence specificity
Base editing and prime editing technologies
Multiplexing and epigenome editing capabilities
Week 3: Applications in Health, Agriculture, and Research
Functional genomics and gene knockout models
Therapeutic genome editing for monogenic diseases
Agricultural trait enhancement and biotic stress tolerance
Case studies: Sickle Cell Disease, muscular dystrophy, rice yield improvement
Week 4: Delivery Methods, Ethics, and Future Outlook
Viral and non-viral delivery strategies (LNPs, electroporation)
AI and computational tools in target prediction and off-target screening
Regulatory frameworks and bioethical concerns
Future prospects: synthetic biology, in vivo editing, germline modifications
Standard Fee: INR 4,998 USD 110
Discounted Fee: INR 2499 USD 55
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PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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