stemangiola/rpharma2020_tidytranscriptomics: Workshop
| Main Authors: | Maria Doyle, Stefano Mangiola |
|---|---|
| Format: | info software eJournal |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4067645 |
Daftar Isi:
- This workshop will present how to perform analysis of 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 for RNA sequencing data with the tidybulk, tidyseurat, tidyHeatmap and tidyverse packages. The tidybulk package provides a tidy data structure and a modular framework for bulk transcriptional analyses, the tidyseurat package provides similar for single-cell transcriptional analyses, and tidyHeatmap provides a tidy implementation of ComplexHeatmap. These packages are part of the tidytranscriptomics suite that introduces a tidy approach to RNA sequencing data. Pre-requisites Basic knowledge of RStudio Familiarity with tidyverse syntax Recommended Background Reading Introduction to R for Biologists