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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
1 Hour

2 How the genome conveys information to the rest of the body
1 Hour

3 Basic concepts about genetic diseases and mutations
1 Hour

4 Basic principles of genetics
1 Hour

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

6 Introduction to NCBI database
1 Hour

7 Introduction to DbSNP
1 Hour

8 Clinvar Database
1 Hour

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

10 Role of Pharmacogenomics in Drug development
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
1 Hour

5 Genome Browser
1 Hour

6 Alignment tools- A)BLAST(online)
1 Hour

7 BLAST(standalone) Introduction
1 Hour

8 Multiple sequence Alignment(clustalW)
1 Hour

9 Multiple sequence Alignment(MEGA)
1 Hour

10 Primer Designing using PRIMER3 tool and validation using blast
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 Bioinformatics Tools for Drug Response Prediction(PolyPhen-2, SIFT)
1 Hour

1 Overview and Installation of Linux
1 Hour

2 Basic Linux Commands
1 Hour

3 Advanced Linux Commands
1 Hour

4 Package Management using Repository
1 Hour

5 Package Management using Source Code
1 Hour

1 Introduction to Python
1 Hour

2 Data Types
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 Data Visualization
1 Hour

10 Biopython
1 Hour

1 Introduction and Installation of R
1 Hour

2 Data Types in R
1 Hour

3 Data Structure
1 Hour

4 File Handling
1 Hour

5 Control Structure
1 Hour

6 Function
1 Hour

7 Package Management
1 Hour

8 Data Manipulation
1 Hour

9 Data Visualization
1 Hour

10 Statistical Analysis
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 Variation Visualization (IGV)
1 Hour

1 Introduction to RNAseq and it’s basic terminologies
1 Hour

2 Tools installation in Linux for Gene Expression analysis
1 Hour

3 Quality control and Trimming of reads
1 Hour

4 Indexing of Genome and Alignment of Reads
1 Hour

5 Normalization of Data (Cufflinks)
1 Hour

6 Merging of Data and Differential expression of genes
1 Hour

7 Understanding of DEG results
1 Hour

8 Annotation of DEG
1 Hour

9 Functional and Pathway Enrichment Analysis
1 Hour

10 Network Analysis
1 Hour

1 Introduction to Drug Development
1 Hour

2 Compound Databases in Drug Discovery
1 Hour

3 Principles of Pharmacokinetics
1 Hour

4 Pharmacodynamics and Drug Action
1 Hour

5 Drug Metabolism and Pharmacokinetic Modeling
1 Hour

6 Pharmacovigilance and Drug Safety
1 Hour

7 Pharmacogenomics and Drug Target Selection
1 Hour

8 Pharmacogenomics in Clinical Trials
1 Hour

9 Pharmacogenomics for Predicting Drug Efficacy and Safety
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 Case studies illustrating how genetic variations impact treatment outcomes in specific cancer types
1 Hour

Instructor

Dr.Omics

0 Rating
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213 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 89 lessons

  • Full lifetime access

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