Motivation to Learn: A strong desire to engage with and understand the material.
Basic Knowledge: Familiarity with biology and molecular biology concepts.
Interest in Technology: Eagerness to learn about the latest technologies in Next-Generation Sequencing (NGS).
Software: Free software will be utilized, so no additional software purchases are necessary.
Hardware: A laptop with a minimum of 4GB RAM and 100GB of hard disk space.
Course Description
Introduction to Pharmacogenomics: Principles of pharmacogenomics and its impact on personalized medicine.
Fundamentals of Bioinformatics: Basic bioinformatics concepts, data analysis, tools, and applications.
Databases & Basics of Linux O.S: Overview of biological databases and Linux OS fundamentals for bioinformatics.
Programming for Pharmacogenomics: Python basics and applications in pharmacogenomics data analysis. R for statistical analysis and visualization of bioinformatics data.
Advanced Genomic Studies: Introduction to GWAS and its role in identifying genetic variants. Techniques for variant calling and analysis using GATK.
Pharmacogenomics Applications: Application in drug discovery for personalized therapies. Role in tailoring cancer treatments based on genetic profiles.
Clinical Implementation & Research: Integrating pharmacogenomics into clinical practice and understanding regulatory guidelines. Hands-on research project applying computational techniques in pharmacogenomics.
Course Outcomes
Pharmacogenomics Mastery: Understand pharmacogenomics principles and their impact on personalized medicine.
Bioinformatics Skills: Gain practical experience with bioinformatics tools, Linux OS, Python, and R.
GWAS and Variant Analysis: Conduct and interpret GWAS and perform variant analysis using GATK.
Drug Discovery and Cancer Treatment:Apply pharmacogenomics in drug discovery and personalized cancer treatment.
Clinical and Regulatory Knowledge: Integrate pharmacogenomics into clinical practice and understand regulatory guidelines.
Research Proficiency: Complete hands-on research projects in computational pharmacogenomics.
Rules & Regulations
Attendance and Participation: Maintain a minimum of 75% attendance. Regular assessments and attendance contribute to performance evaluation.
Discipline: Maintain punctuality and respect in live classes. Engage actively and interact respectfully with instructors and peers.
Course Fee Payment: Pay course fees on time to avoid suspension or cancellation of access.
Assignments and Project: Complete assignments and projects sincerely and submit them on time.
Feedback and Communication: Maintain open communication with instructors and provide constructive feedback.
Certification: A certificate will be awarded upon course completion.
