Learning Path

Foundations of Genomics and Molecular Biology → Reproducibility and Best Practices in scRNA-seq Analysis

This learning path guides graduate students in bioinformatics and genomics through the complete workflow of single-cell RNA-seq (scRNA-seq) data analysis, from raw data processing to biological interpretation. It covers essential computational and statistical concepts, quality control, normalization, dimensionality reduction, clustering, cell type annotation, trajectory inference, and downstream applications. The path emphasizes hands-on skills with popular tools and critical evaluation of results.