Analytical Workflows For Single-Cell Multiomic Data
Sunday , Nov 20
The conversion of raw sequencing reads to biologically relevant data in high throughput single-cell RNA sequencing experiments is a complex and involved process. Drawing meaning from thousands of individual cells to provide biological insight requires not only ensuring that the data is of the highest quality, but also that the signal can be separated from noise. In this workshop we describe a detailed analytical workflow that allows the generation of high-quality data analysis in single-cell multiomics.
This is an interactive workshop and attendants are encouraged to bring their computers. Tutorial materials will be provided for software and R package installation prior to the workshop.
What You’ll Learn:
This workshop outlines 3 discrete pipelines:
1) Gene expression matrix data pre-processing and analysis,
2) Advanced analysis,
3) Conversion to Flow Cytometry Standard (FCS) format.