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Exploring RNA-seq data using the CLC Genomics Workbench: Expression Analysis and upload to Ingenuity Pathway Analysis (IPA)
In this webinar, we will present how to analyze RNA-seq data starting from raw sequencing reads. We will touch upon expression analysis, statistical comparison, visualization and functional enrichment of RNA-seq data using an actual dataset and a live demo.
During this webinar we will cover:
• Mapping of reads to the reference and abundance estimation
• Principal component analysis (PCA) of RNA-seq data
• Differential expression analysis
• Visualization of results using volcano plots, heatmaps and Venn diagrams
• Creating RNA-seq expression table and adding GO annotations
• Gene set enrichment analysis using hypergeometric test
• Ready-to-use Workflows for expression analysis
• Upload to Ingenuity Pathway Analysis (IPA)
During this webinar we will cover:
• Mapping of reads to the reference and abundance estimation
• Principal component analysis (PCA) of RNA-seq data
• Differential expression analysis
• Visualization of results using volcano plots, heatmaps and Venn diagrams
• Creating RNA-seq expression table and adding GO annotations
• Gene set enrichment analysis using hypergeometric test
• Ready-to-use Workflows for expression analysis
• Upload to Ingenuity Pathway Analysis (IPA)
01:03:23 minutes
Tags: rna-seq
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