北京雁栖湖应用数学研究院

Next-Generation Sequencing (NGS) has become the cornerstone of modern biology. This course is designed for applied high-throughput biological data analysis, covering RNA-seq, 16S/ITS amplicon sequencing, single-cell RNA-seq, spatial transcriptomics, and beyond. For each data modality, the processes of data acquisition and preprocessing are introduced in detail. The curriculum covers routine analytical methods, such as PCA and Differential Expression Gene (DEG) analysis, alongside advanced techniques like WGCNA and SCENIC. To emphasize hands-on practice, R and Python scripts are provided for half of the course modules to guide students through each workflow. Finally, beyond traditional methodologies, the concluding section introduces novel computational approaches, including ODE-based network modeling.