For RNA-seq and scRNA-seq data, users will learn how to:
• Import fastq files, cell matrix files and metadata and how to download references
• Map reads to a reference genome and generate gene and transcript counts and QC reports displaying % mapped reads, knee plots, etc.
• Generate visualizations of results, such as heatmaps, differential expression tables, PCA/PCOA plots, t-SNE plots, UMAP plots, dot plots, Venn diagrams and others
• Annotate single-cell clusters overlain with gene expression
• Easily customize RNA-seq and scRNA-seq workflows
• Export publication-quality graphics, tables and reports
• Send differential expression table to QIAGEN Ingenuity Pathway Analysis directly from QIAGEN CLC Genomics Workbench

Speaker: Araceli Cuellar, Ph.D., Field Application Scientist, QIAGEN Digital Insights