Progress from raw scRNA-seq reads to a cellular count matrix and Seurat-based clustering, with focused introductions to cell communication and circRNA.

Learn the core path for analyzing gene expression at single-cell resolution. Beginning with scRNA-seq protocols, the course moves through count-matrix construction, cell clustering, and extraction of data for selected clusters.
The curriculum also introduces cell-to-cell communication and includes a supplementary single-cell session plus circRNA identification, quantification, and differential-expression material. A dedicated course is available for deeper study of cell communication.
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Experienced instructor in bioinformatics and computational biology.