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Combining scRNA-seq and Flow Analyses

Tuesday, July 24, 2018
8AM PDT | 11AM EDT | 4PM BST | 5PM CEST

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Researchers producing single-cell RNA-sequencing data files will face a unique set of challenges, which the SeqGeq platform is designed to address. Here we’ll illustrate how fluorescence intensity information from flow parameters (protein information) can be merged into a single-cell RNA expression matrix (the transcriptome) and analyzed.

Specifically in this presentation we’ll attempt to gain deep insight into the Accelerating Medicines Partnership’s public human kidney data from lupus patients and demonstrate how that beautiful dataset can be explored in an intuitive and thorough workflow.

Systems biology is poised to revolutionize our understanding of disease models and multi-omics studies as exemplified here are a key step along that exciting journey of discovery.

During this webcast you will learn/our speaker(s) will address:

  • Data Import and Merging
  • Quality Control
  • Dimensionality Reduction
  • Clustering and Hierarchical Gating
  • Differential Expression Analysis and Geneset Enrichment Analysis
This webcast has been produced on behalf of the sponsor who retains sole responsibility for content. About this content
Presenter
Ian Taylor
Director, Product Innovation
BD Life Sciences, Informatics
View Biography
Presenter
Dr. Jayshan Carpen
Moderator
Nature Research
View Biography

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