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SUMMARY:Part II: Single-cell RNA sequencing data interpretation using QIAGEN Ingenuity Pathway Analysis
DESCRIPTION:This two-part series will walk you through single-cell RNA sequencing (scRNA-seq) analysis starting with a matrix file or FASTQ files and ending with a deep understanding of key pathways\, regulators and cell type signatures within your data. \nIn this session\, we'll explore how you can take your scRNA-seq differential expression results produced from QIAGEN CLC Genomics Workbench (or from another software/package) and upload them into QIAGEN Ingenuity Pathway Analysis (IPA) to uncover a deep understanding of the biology in your experiment by exploring enrichment and activity prediction for pathways\, regulators and more. \nSpecifically\, you'll learn how to:\n• Import data using the QIAGEN IPA plugin from QIAGEN CLC or data generated from a different software/pipeline/package\n• Explore canonical pathway enrichment and predicted activity for your comparisons\n• Find key regulators that may be responsible for the biology in your experiment\n• Compare multiple core analyses and see side-by-side results for various cell types\, clusters and more\n• Compare the expression patterns for pathways and regulators in your dataset with over 135\,000 precomputed public analyses in IPA\n• Compare your complete analysis signature with over 135\,000 precomputed public analyses in IPA \nPart I takes place on Tuesday\, Aug. 15 and focuses on the secondary analysis of scRNA-seq data using QIAGEN CLC Genomics Workbench. You'll learn to explore differential expression\, UMAP\, dot plot and more. Here you can register for Part I: https://qiagen.zoom.us/webinar/register/2216662770217/WN_oZyIwr-uQAybn5c4G88HLA
URL:https://staging.digitalinsights.supremeclients.com/webinars-and-events/part-ii-single-cell-rna-sequencing-data-interpretation-using-qiagen-ingenuity-pathway-analysis/
LOCATION:Virtual - Americas - EST\, United States
CATEGORIES:Discovery,Training
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