Tidy Transcriptomics For Single-Cell RNA Sequencing Analyses**

Tidy Transcriptomics For Single-Cell RNA Sequencing Analyses**

Author(s): Stefano Mangiola, Maria Doyle

Affiliation(s): Walter and Eliza Hall Institute of Medical Research, Peter MacCallum Cancer Center

This workshop will present how to perform analysis of single-cell RNA sequencing data following the tidy data paradigm. The tidy data paradigm provides a standard way to organize data values within a dataset, where each variable is a column, each observation is a row, and data is manipulated using an easy-to-understand vocabulary. Most importantly, the data structure remains consistent across manipulation and analysis functions. This can be achieved with the integration of packages present in the R CRAN and Bioconductor ecosystem, including tidyseurat, tidySingleCellExperiment, tidyHeatmap and tidyverse. These packages are part of the tidytranscriptomics suite that introduces a tidy approach to RNA sequencing data representation and analysis.

Workshop details

Source code


1. Go to Orchestra.
2. Log in.
3. Search for the workshop of interest.
4. Click "Launch" (may take a minute or two).
5. Follow instructions.

On YouTube: