This workshop introduces the participants to RNA-seq data analysis methods, tools and file formats. It covers the whole workflow from quality control and alignment to quantification and differential gene expression analysis. While this course focuses on differential gene expression analysis...

This hands-on course introduces the participants to single cell RNA-seq data analysis concepts and popular R packages. It covers the preprocessing steps from raw sequence reads to expression matrix as well as clustering, cell type identification, differential expression analysis and pseudotime...

This course introduces single cell RNA-seq data analysis methods, tools and file formats. It covers the preprocessing steps of DropSeq data from raw reads to a digital gene expression matrix (DGE), and how to find sub-populations of cells using clustering with the...

This course introduces the VirusDetect pipeline covering all the analysis steps and file formats. VirusDetect allows you to detect known viruses and identify news ones by sequencing small RNAs (siRNA) in host samples. siRNA sequences are assembled to contigs and compared to known virus sequences....

This course introduces RNA-seq data analysis methods, tools and file formats. It covers all the steps from quality control and alignment to quantification and differential expression analysis, and also experimental design is discussed. The user-friendly Chipster software is used in the exercises,...