QIAGEN CLC Genomics
RNA-Seq Data Analysis and Interpretation using QIAGEN CLC Genomics Workbench and IPA
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The increasing adoption of next-generation sequencing in many fields has made RNA-seq data analysis and interpretation essential skills for researchers. In this webinar, discover how you can effortlessly process FASTQ files with QIAGEN CLC Genomics Workbench (CLC). Next, you will import differential expression results directly into QIAGEN Ingenuity Pathway Analysis (IPA) for downstream analysis – enabling a smooth path from data to discovery.
You will learn how to:
• Use CLC to map reads to a reference genome, generate gene/transcript counts and QC reports
• Use CLC to visualize results, such as heatmaps, differential expression tables, PCA/PCOA plots, Venn diagrams and more
• Use IPA to identify enriched canonical pathways, diseases and biological functions and predicted upstream regulators
• Use IPA to compare your analysis results to over 200,000 analyses curated from public ‘omics datasets – including your own projects – to find similarities and differences in pathways, upstream regulators and diseases
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