OmicsLab Pro: Single-Cell &
Spatial Transcriptomics
Unlock the power of modern biotechnology for drug discovery. Master industry-standard single-cell RNA-seq and spatial transcriptomics workflows to drive precision medicine and translational research.
Format
Modular online course + mentor-led workshops
Level
Intermediate to advanced capability
Duration
8 weeks (6-8 hours/week)
Mode
Conceptual + analytical + application-focused
Tools Used
Seurat, Scanpy, Giotto, Squidpy, AI-assisted omics
Hands-On
Real omics datasets, QC workflows, clustering, case studies
Domain
Bioinformatics, Computational Biology, Drug Discovery
Visualizing High-Dimensional Omics
Explore the sophisticated technologies, tissue mapping frameworks, and computational pipelines mastered in this program.
Program Curriculum
An intensive 8-module architectural deep dive designed to transform conceptual understanding into autonomous analytical capability.
Biotech Use Case Framing
Understand exactly what single-cell RNA-seq and spatial transcriptomics solve in modern biotechnology. Explore high-impact use cases across oncology, immunology, and targeted drug response.
Key Competencies:
- Experimental design principles
- Bulk vs Single-Cell resolution logic
- Translational roadmap framing
Data Ingestion, QC & Normalization
Master raw data formats (FASTQ, BAM, count matrices), rigorous cell filtering, doublet detection, ambient RNA removal, and advanced normalization techniques.
Key Competencies:
- CellRanger pipeline execution
- Seurat & Scanpy QC workflows
- SCTransform & harmony integration
Dimensionality Reduction & Clustering
Deep dive into linear and non-linear dimensionality reduction (PCA, UMAP, t-SNE). Learn the mathematical intuition behind graph-based clustering and automated marker gene identification.
Key Competencies:
- Louvain & Leiden algorithms
- Optimal resolution selection
- Automated cell type annotation
Differential Expression & Pathways
Perform robust case-control comparisons, understand complex linear models, and conduct Gene Set Enrichment Analysis (GSEA). Learn biological storytelling without overclaiming.
Key Competencies:
- MAST & DESeq2 integrations
- Pathway enrichment visualization
- False discovery rate mitigation
Cell-Cell Communication
Map complex intercellular signaling networks using ligand-receptor expression logic. Decode the tumor microenvironment and cellular cross-talk in disease states.
Key Competencies:
- CellChat & CellPhoneDB workflows
- Spatial co-localization logic
- Signaling network visualization
Spatial Transcriptomics Integration
Transition from dissociated cells to intact tissue architecture. Analyze 10x Visium, Xenium, and MERFISH datasets to decode neighborhood effects and spatial niches.
Key Competencies:
- Giotto & Squidpy spatial graphs
- Deconvolution of spot-based data
- Subcellular spatial mapping
AI for Omics Workflows
Leverage state-of-the-art Large Language Models and specialized foundational AI models to accelerate bioinformatics scripting, pipeline debugging, and literature synthesis safely.
Key Competencies:
- Prompt engineering for bio-scripting
- Automated pipeline generation
- Validation & hallucination guards
Capstone & Defense
Synthesize your 8-week learning into an industry-grade capstone project. Analyze an unpublished or complex public dataset, generate a reproducible workflow, and defend your findings.
Key Competencies:
- End-to-end reproducible pipeline
- Executive summary presentation
- Peer & mentor defense review
Transparent Pricing Tiers
Select your professional or academic category to access tailored cohort pricing and institutional support.
Student
For actively enrolled BSc, MSc, and BTech students.
PhD / Researcher
For PhD candidates, JRFs, SRFs, and post-doctoral fellows.
Faculty
For academic professors, lecturers, and institutional educators.
Industry Professional
For corporate researchers, biotech scientists, and pharma analysts.
Frequently Asked Questions
Everything you need to know about the OmicsLab Pro flagship experience.