Discovery and Research
From data to biological insight using QIAGEN CLC Single Cell Module and QIAGEN IPA: Single-cell sequencing of human fetal liver
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In this webinar, we will discuss how to:
Analyze the data from FASTQ files from single-cell RNA-seq (scRNA-seq) to produce differential expression profiles using QIAGEN CLC Single Cell Analysis Module and QIAGEN CLC Genomics Cloud Engine
Explore specific cellular markers to identify different cell types in human fetal human liver at various time points during gestation
Visualize valuable information regarding a specific marker gene of interest in other contexts (e.g., disease or expression)
Identify regulated canonical pathways and upstream regulators when comparing cell clusters using QIAGEN Ingenuity Pathway Analysis (IPA)
Generate hypotheses about novel regulatory networks that suggest drivers of observed expression changes in the different cell types during development
Gain additional insights about single-cell biology by comparing differential expression results from cell clusters in QIAGEN IPA to over 90,000 curated datasets
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