BMS5309 Advanced transcriptomics: Bulk, single-cell, and spatial analysis

When you finish this unit, you should be able to:

1. 1

   Describe and differentiate between bulk RNA sequencing, single-cell RNA sequencing, and spatial transcriptomics techniques.

2. 2

   Demonstrate proficiency in processing raw transcriptomic data from bulk, single-cell, and spatial RNA sequencing experiments.

3. 3

   Utilise appropriate bioinformatics tools, including Artificial intelligence (AI) and Machine Learning, for analysing transcriptomic data, including normalisation, differential expression analysis, and pathway analysis.

4. 4

   Evaluate single-cell RNA sequencing data to identify cell types, states, and trajectories using clustering, dimensionality reduction, and pseudotime analysis.

5. 5

   Interpret spatial transcriptomics data to map gene expression patterns within tissue architecture and understand the spatial context of cellular processes.

6. 6

   Translate transcriptomic findings into biological insights and hypotheses, focusing on gene function, regulation, and interaction networks.