About this Event
Quantitative analysis of single-cell RNA sequencing (scRNA-seq) is crucial for discovering the heterogeneity of cell populations and for elucidating molecular mechanisms in cells. This lecture will discuss applications of scRNA-seq in oncology research and provide an introduction to bioinformatics pipelines for analyzing scRNA-seq data. These pipelines facilitate interpretation of the heterogeneity of single-cell transcriptomes and enable exploration of hypotheses that aim to characterize various cell populations and their relationships.
This lecture is part of the Quantitative Science Lecture Series hosted by the Biostatistics & Bioinformatics Shared Resource (BBSR) of the Sylvester Comprehensive Cancer Center.
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