BTEP Getting Started with scRNA-Seq Seminar Series

This lesson reviews many of the standard steps in a scRNA-Seq workflow: QC filtering, normalization, scaling, and clustering. 

This seminar provides an overview of differential expression testing workflows with Seurat.

This seminar provides an introduction to R in the context of single cell RNA-Seq analysis with Seurat.  In this seminar, attendees will learn about options for analyzing scRNA-Seq data, resources for learning R, how to import scRNA-Seq data, and how to create, examine, and access data stored in a Seurat object.  

Kimia Dadkhah, bioinformatics analyst (SCAF), will talk about Cell Ranger output and essential quality control metrics in single cell data analysis, how to interpret these and make informed decisions, and other considerations to keep in mind when assessing the quality of returned data from SCAF.  

Single cell RNA sequencing (scRNA-Seq) is becoming increasingly more common in biomedical research, but what is scRNA-Seq? How does it differ from other transcriptomic approaches (e.g., bulk RNA-Seq), and what are the potential applications, technologies, and workflows? This presentation will introduce learners to scRNA-Seq, answering the above and touching on additional topics such as methodological challenges, concerns, and best practices.  

The Single Cell Analysis Facility (SCAF) is a CCR facility dedicated to the application of single-cell technologies in cancer research. Based on the NIH Bethesda main campus, SCAF aims to provide the broadest range of project support from consultation on experimental design, sequencing, and data analysis. Learn more about SCAF and the single-cell genomics technologies available to CCR investigators in this overview presentation.