Tidy Transcriptomics for Single-cell RNA Sequencing Analyses
| Main Authors: | Stefano Mangiola, Maria Doyle |
|---|---|
| Format: | info Proceeding Journal |
| Terbitan: |
, 2022
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/6360122 |
Daftar Isi:
- This is an introduction associated with "Tidy Transcriptomics for Single-cell RNA Sequencing Analyses" which was organised by the ISCB Academy. This tutorial shows how to perform analysis of single-cell RNA sequencing data following the tidy data paradigm. The tidy data paradigm provides a standard way to organise 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 and tidyverse. These packages are part of the tidytranscriptomics suite that introduces a tidy approach to RNA sequencing data representation and analysis. For more information see the tidy transcriptomics blog.
- The complete materials are accessed in the ISCB Academy GitHub repository