About
Molecular Advances in Cancer Biology: CRISPR and Bioinformatics is an intensive one-month online training program designed to bridge the gap between traditional cancer biology and emerging technologies like CRISPR gene editing, AI in cancer research, and clinical bioinformatics.
Through a blend of theory and hands-on practice using bioinformatics tools, this course explores:
- The genetic and molecular drivers of cancer
- The role of next-generation sequencing (NGS) in oncology
- Practical design and ethical considerations of CRISPR-based therapeutics
- How machine learning and AI enhance cancer diagnostics
This certified program is ideal for those aiming to enter the fields of digital pathology, translational oncology, or biomedical data science, with a focus on precision medicine.
Aim
To equip learners with in-demand, research-ready skills in CRISPR technology, genomic data analysis, and bioinformatics applications in cancer research, preparing them for PhD research, industry roles, or clinical innovations in personalized cancer therapies.
Program Objectives
- Understand the molecular basis of cancer and genetic mutations in oncogenesis
- Learn CRISPR-Cas9 design and its therapeutic gene-editing potential
- Use bioinformatics pipelines to analyze cancer genomics datasets
- Explore ethical and legal concerns in human gene editing
- Apply computational tools to visualize and interpret experimental results
Program Structure
Week 1: Cancer Biology and CRISPR Technology
- Oncogenes, tumor suppressors, mutation pathways
- CRISPR-Cas9: Mechanisms and real-world case studies
- Bioinformatics in Cancer Research: Tools like BLAST, Ensembl, and UCSC Genome Browser
- Designing CRISPR Experiments: Guide RNA design using Benchling/CRISPOR
Week 2: CRISPR Applications in Cancer Research
- Targeting Oncogenes: Gene knockouts for cancer therapy
- Enhancing Tumor Suppressors: Precision repair via CRISPR
- CRISPR Data Analysis: NGS alignment, editing efficiency
- Ethical Dimensions: Clinical trials, germline editing, regulatory bodies
Week 3: Advanced Bioinformatics Techniques
- NGS Platforms: Illumina, Oxford Nanopore, RNA-seq workflows
- Data Management: Handling high-throughput sequencing data
- Integrative Genomics: Cross-referencing transcriptomic and proteomic data
- Machine Learning: Predicting mutation outcomes, cancer risk stratification
Week 4: Translational Applications and Future of CRISPR
- CRISPR in Clinical Trials: Real-world examples from CAR-T and sickle-cell therapy
- Personalized Oncology: Genomic signatures for treatment planning
- Evolving CRISPR Technologies: Cas12, Cas13, base editors, prime editing
- From Lab to Clinic: Research commercialization and healthcare innovation
Participant’s Eligibility
- Students: Pursuing or holding degrees in Pathology, Biomedical Engineering, Biotechnology, Molecular Biology, Bioinformatics, Computer Science, or related life sciences fields
- PhD Scholars & Researchers: Working in areas like digital pathology, AI in healthcare, biomedical image analysis, genomics, or oncology research
- Industry Professionals: From biotech, pharmaceutical R&D, medical diagnostics, bioinformatics, or clinical research organizations
- Aspiring Learners: Interested in applying AI, machine learning, CRISPR, and genomic tools in precision oncology, personalized medicine, and digital health
Program Outcomes
- Master CRISPR-Cas9 design and editing workflows
- Gain proficiency in bioinformatics tools like Galaxy, Bioconductor, and R
- Analyze genomic datasets and develop computational cancer models
- Understand clinical ethics and regulatory challenges in genetic editing
- Prepare for roles in research labs, clinical data analysis, or PhD studies in oncogenomics
Program Deliverables
- Access to e-LMS
- Real-Time Project for Dissertation
- Paper Publication Opportunity
- Self-Assessment
- e-Certification
- e-Marksheet
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