This academic webinar provides a comprehensive guide to analyzing single-cell RNA sequencing (scRNA-seq) data using all kinds of methods. Our speaker shall cover an overview of outputs from 10x Genomics Single Cell RNA-seq, practical downstream of scRNA-seq data analysis including quality metrics, normalization, dimensionality reduction, clustering, and differential expression analysis. The webinar aims to equip researchers with the knowledge and skills needed to interpret scRNA-seq data effectively. By the end of this webinar, you can comprehensively learn how to decipher primary outputs, why the quality control and normalization matters, how to maneuver different software and scripts and eventually, how to discover hidden mechanism in cell populations of your research.
Heming Zhou — Product SpecialistNovogene Corporation Inc.
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