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PHARMACOGENOMICS and PERSONALISED MEDICINE( 6 MONTHS )

Instructor Name

Dr.Omics
Category

Internships

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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 DOWNLOAD BROCHURE

1 Overview of genomics and pharmacogenomics and Introduction to Genetics, Cell Bi ology, Molecular Biology, and Biochemistry as relevant to the field of Pharmacogenomics
1 Hour

2 How the genome conveys information to the rest of the body (the central dogma of molecular biology)
1 Hour

3 Basic concepts about genetic diseases and mutations
1 Hour

4 Basic principles of genetics : single gene inheritance, independent assortment, link age and genetic variation,Epigenetics, non-genetic factors influencing phenotypes
1 Hour

5 Introduction to Genomes, Variation and Population Genetics,Introduction to 1000G enome project and ENCODE
1 Hour

6 Introduction to bioinformatics databases and resources : NCBI
1 Hour

7 Single Nucleotide Polymorphisms and other genetic variations Theory Introduction to variation databases: DbSNP
1 Hour

8 Introduction to ClinVar for variation information
1 Hour

9 Association studies in Pharmacogenomics, Linking NGS/Microarray/other technologies to bedside, Analyzing gene mutations
1 Hour

10 (A) Role of Pharmacogenomics in Drug development,In silico pharmacokinetics and pharmacodynamics modeling (B) Career Opportunities: Genomes, Variation, and Population Genetics opens doors to
1 Hour

1 Introduction to Bioinformatics
1 Hour

2 Introduction to Genomics data resources : Gene,protein database
1 Hour

3 Ensembl genome database
1 Hour

4 UCSC database introduction
1 Hour

5 UCSC practical
1 Hour

6 Bioinformatics Tools for Sequence Analysis: Introduction to tools and techniques u sed for analyzing DNA and protein sequences.BLAST
1 Hour

7 Standalone BLAST
1 Hour

8 MSA-ClustalW
1 Hour

9 (A) Primer Designing using PRIMER3 tool and validation using blast (B) Career Opportunities: As the field of bioinformatics continues to grow, professionals with a strong foundation in its fu
1 Hour

1 PubMed Database
1 Hour

2 KEGG database
1 Hour

3 UniProt Database
1 Hour

4 Pharmacogenomic databases (e.g., PharmGKB, DrugBank)
1 Hour

5 (A) Bioinformatics Tools for Drug Response Prediction(PolyPhen-2, SIFT) (B) Career Opportunities: Bioinformatics databases involve managing, curating, and analyzing vast biological datasets.
1 Hour

1 Overview of Linux,Advantages of Linux in scientific computing Installation of Linux
1 Hour

2 Package Management:Installing, updating, and removing software packages
1 Hour

3 Navigating the file system Working with directories and files Basic file operations File permissions and ownership
1 Hour

4 Advanced Linux commands: Introduction to command-line tools Handling CSV and text files
1 Hour

5 (A) Introduction to Bash Scripting: Writing and executing simple scripts Variables and conditionals (B) Career Opportunities: Linux expertise for system management, software development, and
1 Hour

1 Introduction to Python
1 Hour

2 User input, Data types, Variables and rules to create a variable
1 Hour

3 String Handling
1 Hour

4 Data Structure
1 Hour

5 Control Structure
1 Hour

6 Function
1 Hour

7 File Handling
1 Hour

8 Data Manipulation
1 Hour

9 Biopython
1 Hour

10 (A) Data Visualization in Python (B) Career Opportunities: Learning Python in the context of pharmacogenomics opens doors to diverse career opportunities. Python proficiency is highly valued
1 Hour

1 Introduction and Installation of R
1 Hour

2 Objects/Data structures · Data types, Operators
1 Hour

3 Data import export
1 Hour

4 Functions · Built-in functions. · User-defined functions
1 Hour

5 Conditional statements (If, Else, If-else) Loops (While, For)
1 Hour

6 Packages · CRAN/Bioconductor, · Installation
1 Hour

7 Data analysis with R package · Dplyr
1 Hour

8 Sequence Analysis in R · seqinR · Biostrings
1 Hour

9 Data Visualization (plots) · Barplot · Boxplot · Heatmap
1 Hour

10 (A) Basic statistical analysis (Biological Data) · Chi Square test · T-Test · Z-Test (B) Career Opportunities: Acquiring proficiency in R programming for pharmacogenomics opens up diverse car
1 Hour

1 Introduction to GWAS
1 Hour

2 Impact of genetic diversity on individual drug responses.
1 Hour

3 Methods and Technologies in GWAS
1 Hour

4 Clinical Implications
1 Hour

5 GWAS analysis using real data
1 Hour

6 Installation of HAIL package
1 Hour

7 Plots before quality check
1 Hour

8 Quality control based on Sample level, genotype quality and Variants level
1 Hour

9 GWAS analysis
1 Hour

10 (A) Annotations of GWAS output (B) Career Opportunities: Individuals can pursue roles such as GWAS Analyst, Pharmacogenomic Researcher, Statistical Geneticist, or Bioinformatics Scientist. Op
1 Hour

1 Introduction to Drug Development • Overview of Drug Development Process • Introduction to Computer-Aided Drug Design (CADD)
1 Hour

2 Compound Databases in Drug Discovery • PubChem, DrugBank, ChEMBL • Features and functionality • Data retrieval and analysis
1 Hour

3 Principles of Pharmacokinetics • Absorption, Distribution, Metabolism, and Excretion (ADME) • Biotransformation and Excretion
1 Hour

4 Pharmacodynamics and Drug Action • Principles of Pharmacodynamics • Cellular and Molecular Mechanisms
1 Hour

5 Drug Metabolism and Pharmacokinetic Modeling • Drug Metabolism Pathways • Pharmacokinetic Modeling and Analysis
1 Hour

6 Pharmacovigilance and Drug Safety • Pharmacovigilance Principles • Drug Interactions and Safety
1 Hour

7 Pharmacogenomics and Drug Target Selection,Computational approaches to drug target identification and validation
1 Hour

8 Pharmacogenomics in Clinical Trials • Overview of Phase I to Phase IV clinical trials • Considerations for pharmacogenomic study design
1 Hour

9 Pharmacogenomics for Predicting Drug Efficacy and Safety •Use of genetic biomarkers in clinical trial endpoints •Challenges and opportunities in pharmacogenomics-guided clinical trials
1 Hour

10 (A) Module 10: Application of NOMAD in Pharmacogenomics •Features and capabilities of the database •Use cases in pharmacogenomics research and drug development (B) Career Opportunities: Oppor
1 Hour

1 Genetic Basis of Cancer
1 Hour

2 Genetic Variations Impacting Cancer Drug Response
1 Hour

3 Targeted Therapies and Biomarkers
1 Hour

4 Genomic Profiling Techniques
1 Hour

5 Cancer Genomics Databases(The Cancer Genome Atlas - TCGA)
1 Hour

6 Genomic Alterations in Drug Response
1 Hour

7 Functional Genomics in Cancer Research(CRISPR/Cas9 technology)
1 Hour

8 Development of biological drugs andcell/animal models.
1 Hour

9 Clinical trial implications of Pharmacogenomics in Oncology:
1 Hour

10 (A) Case studies illustrating how genetic variations impact treatment outcomes in specific cancer types (B) Career Opportunities: Explore roles such as Oncogenomic Researcher, Clinical Pharma
1 Hour

1 Sequencing Technologies its applications,Introduction to NGS and DNAseq,
1 Hour

2 Basic Terminologies in NGS
1 Hour

3 Understanding of SRA database
1 Hour

4 Tools installation in Linux for Variation Calling
1 Hour

5 Quality control (FastQC)
1 Hour

6 Trimming of Reads (Trimmomatic)
1 Hour

7 Indexing of Genome (BWA) and Alignment of Reads (BWA)
1 Hour

8 Variation calling using GATK
1 Hour

9 Variant Effect Prediction(VEP)
1 Hour

10 (A) Variation Visualization (IGV) (B) Career Opportunities: Students proficient in GATK-based variant calling contribute to the identification of genetic variations influencing drug response.
1 Hour

1 Foundations of Clinical Pharmacogenomics,Stategies,Interpretation of Data
1 Hour

2 Pharmacogenomic Testing Technologies( genotyping)
1 Hour

1 Overview of regulatory bodies governing pharmacogenomics, FDA (U.S. Food and Drug Administration), EMA (European Medicines Agency),
1 Hour

2 CPIC (Clinical Pharmacogenetics Implementation Consortium) for drug-gene pairs and dosing recommendations.
1 Hour

3 Global Harmonization Efforts
1 Hour

4 Ethical and Legal Considerations in Pharmacogenomics.(Legal aspects, patient consent etc)
1 Hour

5 Patient and Healthcare Provider Education strategies for effective communication of genetic-based recommendations.
1 Hour

6 (A) Future Perspectives and Emerging Regulatory Issues (B) Career Opportunities: Student can pursue roles such as Regulatory Affairs Specialist, Pharmacovigilance Scientist, Clinical Research
1 Hour

1 Research project applying computational methods to pharmacogen omic data analysis
1 Hour

Career Opportunities: Pharmacogenomics provides a strong foundation for various impactful career opportunities. Students can explore roles such as Pharmacogenomic Research Scientist, Bioinformatics Analyst, Clinical Research Coordinator, or Genomic Data Scientist. Opportunities exist in pharmaceutical and biotech companies, research institutions, healthcare organizations, and regulatory bodies. Individuals with hands- on research experience in pharmacogenomics contribute to advancements in personalized medicine, drug development, and clinical implementation. This expertise is highly valued in the ever-evolving landscape of genomics, offering a pathway to contribute significantly to the intersection of genetics and healthcare.

Instructor

Dr.Omics

0 Rating
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224 Students
44 Courses

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This course includes:

  • Live classes

  • For full fee and payment plan details, please contact us at 9310870544

  • Duration 6 months

  • Skill Level Advanced

  • Lectures 98 lessons

  • Full lifetime access

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