17/06/2026
𝐍𝐞𝐰 𝐂𝐨𝐮𝐫𝐬𝐞 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭🧬𝐑𝐍𝐀-𝐒𝐞𝐪 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬
This course provides a comprehensive, hands-on introduction to RNA-seq experimental design and data quality control, then progressively covers transcript quantification, differential gene expression analysis, pathway enrichment, and publication-ready visualization.
𝐃𝐮𝐫𝐚𝐭𝐢𝐨𝐧
𝐅𝐨𝐫𝐦𝐚𝐭 12-Day Intensive Online, Hands-on Training
𝐌𝐨𝐝𝐞: Live Online (Zoom)
𝐂𝐥𝐚𝐬𝐬 𝐒𝐭𝐚𝐫𝐭:: August 5, 2026
𝐋𝐚𝐬𝐭 𝐃𝐚𝐭𝐞 𝐨𝐟 𝐄𝐧𝐫𝐨𝐥𝐥𝐦𝐞𝐧𝐭: 𝐀𝐮𝐠𝐮𝐬𝐭 𝟒, 𝟐𝟎𝟐𝟔
𝐂𝐥𝐚𝐬𝐬 𝐓𝐢𝐦𝐞 9:00 PM to 11 PM
Access: All sessions are recorded for permanent review.
𝐕𝐢𝐞𝐰 𝐂𝐨𝐮𝐫𝐬𝐞 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐚𝐧𝐝 𝐂𝐥𝐚𝐬𝐬 𝐒𝐜𝐡𝐞𝐝𝐮𝐥𝐞:: https://tinyurl.com/scheduleRNA-seq
𝐄𝐧𝐫𝐨𝐥𝐥𝐦𝐞𝐧𝐭 𝐅𝐨𝐫𝐦: https://forms.gle/bNqpgua8T3QgALsA7
𝐖𝐡𝐚𝐭 𝐖𝐢𝐥𝐥 𝐘𝐨𝐮 𝐋𝐞𝐚𝐫𝐧?
- Linux & Environment Setup: Prepare your system for high-throughput genomic data.
- Bulk RNA-Seq Pipeline: From raw reads to Salmon count matrices and tximport
- Differential Expression (DEG): Advanced filtering and visualization using DESeq2 in R.
- Functional Annotation: KEGG over-representation and pathway analysis
- Single-Cell RNA-Seq: Cell-type annotation, clustering, and data analysis using Seurat.
- Advanced scRNA-Seq: Trajectory/pseudotime analysis (Monocle3) and cell-cell communication (CellChat).