Study cancer biology with CRISPR and bioinformatics.
Molecular Cancer Biology: CRISPR and Bioinformatics combines cancer biology with two of its most powerful modern tools. You learn the molecular drivers of cancer, then how CRISPR genome editing is used to interrogate gene function in cancer, and how bioinformatics analyses cancer genomes and expression data to find drivers and vulnerabilities. The course connects wet-lab editing and dry-lab analysis into an integrated approach to understanding cancer at the molecular level. You finish able to reason about a CRISPR-and-bioinformatics investigation of cancer biology. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
This course covers molecular cancer biology with CRISPR and bioinformatics — using genome editing and computational analysis to dissect the molecular basis of cancer.
1. Explain the molecular drivers of cancer.
2. Use CRISPR to interrogate cancer gene function.
3. Analyse cancer genomes and expression data.
4. Integrate editing with bioinformatics.
5. Identify cancer drivers and vulnerabilities.
• Cancer-biology and genomics researchers
• Molecular biology and bioinformatics staff
• Biotech and oncology R&D teams
• Students of cancer biology
• An integrated molecular-cancer approach.
• A CRISPR-and-bioinformatics perspective.
• A cancer-research foundation.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
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
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
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
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
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
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
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
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | CRISPR-Cas9 |
| Covered Tool / Platform | bioinformatics software |
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