26 courses
Transcriptome Analysis 1
This course provides a complete pipeline for RNA‑Seq data analysis, covering QC, quantification (RPKM/FPKM/TPM), differential expression (Ballgown/DESeq2/edgeR), visualization, and WGCNA with practical code.
Transcriptome Analysis 2
This course provides a complete pipeline for RNA‑Seq data analysis, covering QC, quantification (RPKM/FPKM/TPM), differential expression (Ballgown/DESeq2/edgeR), visualization, and WGCNA with practical code.
R Basic Training 1
This course covers R basics for bioinformatics, including installation, package management, data types, file I/O, and ggplot2 graphics, building a solid foundation for statistical computing.
R Basic Training 2
This course covers R basics for bioinformatics, including installation, package management, data types, file I/O, and ggplot2 graphics, building a solid foundation for statistical computing.
Fundamental Theory of Single Cells
Spatial Transcriptome
Genomics
Genomes and 3D Genomes 1
Genome and Three-Dimensional Genome 2
Genome Resequencing Analysis 1
Genome resequencing analysis 2
