Best practices for choosing a method for single-cell genomic analysis

Next-generation sequencing has opened the door to the study of biological systems at the single-cell level. This technology offers high scalability, throughput, and sensitivity for the detection of novel genes, quantification of rare variants, and identification of transcripts at a single-cell level. Depending on their application, researchers have the option of choosing a method that examines either the entire transcriptome or the expression of a specific gene.

Join this educational webinar with Dr. Maurizio Morri, Chan Zuckerberg Biohub at Stanford University, to learn how to choose the right method for your study by reviewing the experiment workflow from sample processing to sequencing and data analysis.

In this webinar, you will cover:

• Best practices for setting up your single-cell experiments, including choosing the optimal technique based on the research application
• How your experimental pipeline can be adapted to the sample of choice for maximum data acquisition
• How to analyze single-cell sequencing results

Who should attend?

This webinar will provide insights for researchers who want to learn how to choose the most suitable single-cell sequencing method and optimize it to profile cells.

The live webinar and Q&A session will take place on Wednesday, March 25, at:

• 14:00 GMT
• 10:00 EDT
• 07:00 PDT
• 15:00 CET

Register to watch the full webinar here>>

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