Programme Parameters
Foundation
3 Days (4.5 Hrs)
Online (e-LMS)
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Single-cell omics has transformed biology by enabling researchers to study gene expression, chromatin states, and cellular heterogeneity at unprecedented resolution. Technologies such as scRNA-seq, scATAC-seq, and multi-modal single-cell profiling are now essential in cancer research, immunology, developmental biology, and regenerative medicine. Alongside this, spatial omics adds a new dimension by preserving tissue architecture, allowing scientists to map gene expression patterns directly within biological context. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Single-cell omics has transformed biology by enabling researchers to study gene expression, chromatin states, and cellular heterogeneity at unprecedented resolution. Technologies such as scRNA-seq, scATAC-seq, and multi-modal single-cell profiling are now essential in cancer research, immunology, developmental biology, and regenerative medicine. Alongside this, spatial omics adds a new dimension by preserving tissue architecture, allowing scientists to map gene expression patterns directly within biological context.
📋 Course Objectives
1. Get comfortable working with developmental biology.
2. Translate biotechnology theory into practical, reproducible analysis.
3. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
• Data and computational scientists moving into developmental biology
🚀 Key Learning Outcomes
• Confidence to reason about developmental biology in real projects.
• Tangible, reproducible biotechnology work to show supervisors or employers.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
From Raw Reads to Count Matrix
• Alignment and quantification with Cell Ranger or alevin-fry
• Empty droplet detection, doublet removal and QC thresholds
• Normalisation choices and their effect on downstream clustering
Clustering and Annotation
• Dimensionality reduction, neighbourhood graphs and clustering resolution
• Marker detection and the circularity of clustering then testing
• Automated cell-type annotation and reference-based label transfer
Spatially Resolved Transcriptomics
• Platform differences: spot-based versus imaging-based resolution
• Deconvolution of mixed spots using single-cell references
• Spatial domain identification and neighbourhood analysis
Beyond Cell Types
• Trajectory and pseudotime inference with honest uncertainty
• Cell-cell communication inference and its strong assumptions
• Differential abundance and compositional analysis across conditions
Reproducible Single-Cell Projects
• Scanpy and Seurat workflows and object interoperability
• Compute and memory management for large atlases
• Sharing analyses and depositing data to community standards
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Microsoft Excel |
| Covered Tool / Platform | Relevant Online Databases |
Frequently Asked Questions
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