QIAGEN IPA
Extracting novel hypotheses and insights from single cell data
354 views
Participants will learn:
• Process: Which tools and workflows are best suited to process scRNA-seq data
• Analyze: How to analyze, highlight and identify cell types of interest
• Compare: How you can effortlessly compare and discover similar biology phenomena
• Contextualize: Provide context from other tissues and diseases to unlock hidden biology
Speaker:
Jean-Noel Billaud, PhD
Dr. Jean-Noel Billaud. Jean-Noël is a Senior Principal Scientist at QIAGEN Digital Insights. Before joining QIAGEN, he was part of Ingenuity Systems since 2008 as a staff scientist. Dr, Billaud holds a Ph.D. in Blood Cell Biology from Paris and did his post-doctoral work at the Scripps Research Institute (San Diego, CA). He previously worked at the Vaccine Research Institute of San Diego and co-developed a universal vaccine platform to target infectious disease, metabolic diseases, and cancer.
Related videos
QIAGEN IPA
Part II: Single-cell RNA sequencing data interpretation using QIAGEN Ingenuity Pathway Analysis
This two-part series will walk you through single-cell RNA sequencing...
QIAGEN IPA
Single cell RNA-seq – data upload & analysis in Ingenuity Pathway Analysis (IPA)
This training is generated based on feedback from recent “Single Cell...
QIAGEN IPA
Introduction to Analysis Match in IPA - Compare your gene and protein expression data to over...
With all the expression datasets that are available to the public, wouldn’t...
QIAGEN IPA
Discovery from public data (GEO, SRA and more) using Ingenuity Pathway Analysis
Per user feedback, we are hosting a comprehensive training on how to...