Study biology one cell at a time with single-cell genomics.
Single-Cell Genomics: High-Resolution Analysis reveals biology at the resolution of the individual cell. You learn how single-cell technologies (like single-cell RNA-seq) capture the gene expression of thousands of individual cells, and the computational workflow to make sense of them — quality control, clustering, cell-type identification and trajectory analysis. The course connects these methods to discoveries in development, disease and immunology that bulk approaches miss. You finish able to reason about a single-cell genomics analysis. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
This course covers single-cell genomics — high-resolution methods that profile individual cells to reveal heterogeneity, cell types and states hidden in bulk data.
1. Explain single-cell sequencing technologies.
2. Process single-cell data with QC.
3. Cluster cells and identify cell types.
4. Analyse trajectories and cell states.
5. Connect single-cell data to biology.
• Genomics and cell-biology researchers
• Bioinformatics students and staff
• Immunology and developmental biologists
• Students of computational biology
• An understanding of single-cell genomics.
• A high-resolution analysis perspective.
• A foundation in modern genomics.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
Implement Bioinformatics Tools with Cancer Genomics for practical foundations of singlecell genomics highresolution engineering at the cellular level and core biological principles applications and outcomes. • Design Genomic Data Analysis with Genomic Technologies for practical foundations of singlecell genomics highresolution engineering at the cellular level and core biological principles applications and outcomes. • Analyze Genomics in Healthcare with Immune Profiling for practical foundations of singlecell genomics highresolution engineering at the cellular level and core biological principles applications and outcomes.
Implement Bioinformatics Tools with Cancer Genomics for practical laboratory techniques, protocols, and data collection applications and outcomes. • Design Genomic Data Analysis with Genomic Technologies for practical laboratory techniques, protocols, and data collection applications and outcomes. • Analyze Genomics in Healthcare with Immune Profiling for practical laboratory techniques, protocols, and data collection applications and outcomes.
Implement Bioinformatics Tools with Cancer Genomics for practical bioinformatics tools and computational analysis applications and outcomes. • Design Genomic Data Analysis with Genomic Technologies for practical bioinformatics tools and computational analysis applications and outcomes. • Analyze Genomics in Healthcare with Immune Profiling for practical bioinformatics tools and computational analysis applications and outcomes.
Implement Bioinformatics Tools with Cancer Genomics for practical research methodology and experimental design applications and outcomes. • Design Genomic Data Analysis with Genomic Technologies for practical research methodology and experimental design applications and outcomes. • Analyze Genomics in Healthcare with Immune Profiling for practical research methodology and experimental design applications and outcomes.
Implement Bioinformatics Tools with Cancer Genomics for practical advanced singlecell genomics highresolution engineering at the cellular level applications and translational research applications and outcomes. • Design Genomic Data Analysis with Genomic Technologies for practical advanced singlecell genomics highresolution engineering at the cellular level applications and translational research applications and outcomes. • Analyze Genomics in Healthcare with Immune Profiling for practical advanced singlecell genomics highresolution engineering at the cellular level applications and translational research applications and outcomes.
Implement Bioinformatics Tools with Cancer Genomics for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Design Genomic Data Analysis with Genomic Technologies for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Analyze Genomics in Healthcare with Immune Profiling for practical regulatory compliance, bioethics, and safety standards applications and outcomes.
Implement Bioinformatics Tools with Cancer Genomics for practical industry applications, career pathways, and case studies applications and outcomes. • Design Genomic Data Analysis with Genomic Technologies for practical industry applications, career pathways, and case studies applications and outcomes. • Analyze Genomics in Healthcare with Immune Profiling for practical industry applications, career pathways, and case studies applications and outcomes.
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Bioinformatics Tools |
| Covered Tool / Platform | Cancer Genomics |
| Covered Tool / Platform | Genomics in Healthcare |
| Covered Tool / Platform | Immune Profiling |
| Covered Tool / Platform | Personalized Medicine |
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