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Master differential gene expression analysis using DESeq2 through hands-on practice with real RNA-seq data, from data acquisition to creating publication-ready visualizations.
Comprehensive bioinformatics walkthrough: analyze population genotype data using PCA/TSNE, from data acquisition to visualization, with practical coding in Python and Colab.
Explore bioinformatics tools Ribbon and SplitThreader to analyze structural variants in cancer genomes using long-read sequencing data and GIAB's HG008 tumor/normal samples.
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