Introduction to scRNA-seq and data preprocessing
Автор: dfcidatascience
Загружено: 2024-02-29
Просмотров: 488
Jeremy Simon, PhD, research focuses on the genetic and environmental effects on gene expression and gene regulation in human disease.
There are many useful applications of single-cell or single-nucleus RNA-seq technologies to better understand cancer biology. In this introductory workshop, we will discuss some of the advantages of adopting single-cell approaches, frequently utilized technologies/platforms, best practices for experimental design, and provide an overview of algorithms used for data preprocessing. We will then provide an interactive demonstration of single-cell/single-nucleus RNA-seq data preprocessing with alevin-fry, resulting in a counts matrix ready for downstream analysis.
https://github.com/jeremymsimon/DS_sc...
https://jeremymsimon.github.io/DS_scR...
Our #DataScience Training Sessions offer hands-on training in #statistics, #computationalbiology and #machinelearning by experts at the Department of Data Science at Dana-Farber Cancer Institute.
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