| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Advanced |
| Duration | 6 Months |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹2499 / $59 |
| Tools | Python R TensorFlow CRISPR-Cas9 bioinformatics software |
About the Molecular Cancer Biology: CRISPR and Bioinformatics Course
Molecular Cancer Biology: CRISPR and Bioinformatics Course dives deep into Molecular Cancer Biology Crispr And Bioinformatics.
Gain comprehensive expertise through our structured curriculum and hands-on approach.
Program Highlights
• Comprehensive coverage of Molecular Cancer Biology from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Bioinformatics
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: Python, R, TensorFlow, CRISPR-Cas9
• Career-oriented training for academic and professional growth in Bioinformatics
Course Curriculum
Module 1: Foundations of Molecular Cancer Biology, CRISPR, and Bioinformatics
- Analyze the molecular mechanisms underlying cancer development and progression, including the role of genetic and epigenetic alterations
- Evaluate the principles of CRISPR-Cas9 gene editing and its applications in cancer research, including gene knockout and gene editing
- Design experimental approaches to investigate the molecular biology of cancer, including the use of cell culture and animal models
Module 2: Laboratory Techniques, Protocols, and Data Collection
- Configure and optimize laboratory protocols for molecular biology techniques, including PCR, sequencing, and gene expression analysis
- Develop and implement strategies for data collection and management, including data quality control and assurance
- Conduct and troubleshoot common laboratory techniques, including DNA extraction, RNA isolation, and protein purification
Module 3: Bioinformatics Tools and Computational Analysis
- Implement bioinformatics pipelines for genomic and transcriptomic data analysis, including read mapping, variant calling, and gene expression analysis
- Analyze and interpret high-throughput sequencing data, including RNA-seq, ChIP-seq, and whole-exome sequencing
- Develop and apply computational models to predict gene function and regulatory networks in cancer
Module 4: Research Methodology and Experimental Design
- Design and develop research proposals, including specific aims, hypotheses, and experimental approaches
- Evaluate and critique research studies, including study design, data analysis, and interpretation
- Develop and implement strategies for experimental design, including controls, replicates, and sample size calculation
Module 5: Advanced Molecular Cancer Biology, CRISPR, and Bioinformatics Applications
- Investigate the applications of CRISPR-Cas9 gene editing in cancer therapy, including gene therapy and immunotherapy
- Develop and apply bioinformatics tools for cancer genomics and epigenomics, including mutation analysis and gene expression profiling
- Analyze and interpret the molecular mechanisms underlying cancer resistance and relapse, including the role of tumor heterogeneity and evolution
Module 6: Regulatory Compliance, Bioethics, and Safety Standards
- Evaluate and comply with regulatory requirements for research involving human subjects, including informed consent and IRB approval
- Develop and implement strategies for bioethics and safety in the laboratory, including biosafety protocols and emergency procedures
- Analyze and interpret the ethical implications of gene editing and genomics research, including germline editing and gene drive
Module 7: Industry Applications, Career Pathways, and Case Studies
- Investigate the applications of molecular cancer biology and bioinformatics in industry, including pharmaceutical and biotech companies
- Develop and apply skills for career development, including resume building, networking, and interview preparation
- Analyze and interpret case studies of successful cancer research and therapy development, including the role of collaboration and teamwork
Tools, Techniques, or Platforms Covered
Python R TensorFlow CRISPR-Cas9 bioinformatics software
Real-World Applications
- Apply AI in Healthcare to genomics research for impactful real-world solutions and tangible results.
- Apply Bioinformatics Course to clinical diagnostics for impactful real-world solutions and tangible results.
- Apply Bioinformatics training to pharmaceutical development for impactful real-world solutions and tangible results.
- Apply Biomedical Data Analysis to agricultural biotechnology for impactful real-world solutions and tangible results.
- Apply biomedical engineering to environmental monitoring for impactful real-world solutions and tangible results.
Who Should Attend & Prerequisites
- Designed for Biotechnology students and researchers.
- Designed for Life science graduates.
- Designed for Lab technicians.
- Designed for Pharmaceutical professionals.
Certification

