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Research Oriented Courses

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Course Requirements

  • 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.

Course Curriculum

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Super admin

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