Tidy Transcriptomics For Single-Cell RNA Sequencing Analyses
Channel: R Consortium
Date: 2022-10-05

Stefano Mangiola and Maria Doyle, with The Walter and Eliza Hall Institute of Medical Research Division of Bioinformatics, gave a workshop at the BioConductor Conference 2022. The Bioconductor workshop was on Tidy Transcriptomics For Single-Cell RNA Sequencing Analyses.

From the Bioconductor Conference 2022

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
https://tidytranscriptomics-workshops.github.io/bioc2022_tidytranscriptomics/index.html
Source code
https://github.com/tidytranscriptomics-workshops/bioc2022_tidytranscriptomics 

More Resources 

Bioconductor Conference Site: https://bioc2022.bioconductor.org/ 
BioC2022 Github: https://github.com/Bioconductor/BioC2022 

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