Keywords: Transcriptomics or • New developments in techn... or drugdiscovery or Tumor biology and genetics or structural biology or polyploidy for plant and an... or Disease maps or Open Targets or EeLP
A Tidy Transcriptomics introduction to RNA-Seq analyses
27 July 2020A Tidy Transcriptomics introduction to RNA-Seq analyses http://bioc2020.bioconductor.org/schedule-day-one https://tess.elixir-europe.org/events/a-tidy-transcriptomics-introduction-to-rna-seq-analyses 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](github.com/stemangiola/tidybulk), [tidyHeatmap](github.com/stemangiola/tidyHeatmap) and tidyverse packages. The package [tidybulk](github.com/stemangiola/tidybulk) provides a tidy data structure and a modular framework for bulk transcriptional analyses. tidyHeatmap provides a tidy implementation of ComplexHeatmap. These packages are part of the tidytranscriptomics suite that introduces a tidy approach to RNA sequencing data. The topics presented in this workshop will be - Data exploration - Data dimensionality reduction and clustering - Differential gene expression analysis - Data visualisation ## Pre-requisites * Basic knowledge of RStudio * Familiarity with tidyverse syntax Recommended Background Reading [Introduction to R for Biologists](https://melbournebioinformatics.github.io/r-intro-biologists/intro_r_biologists.html) 2020-07-27 17:00:00 UTC 2020-07-27 17:55:00 UTC Bioc2020 RNA-Seq   Beginners workshops_and_courses  RNA-seqTranscriptomicsDifferential ExpressionGene Expression R-programmingBioconductortidyverse
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