In vguillemot/ReMUSE: The package for the e-MUSE R course

knitr::opts_chunk$set(
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Introduction {.columns-2}

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• Biostatistician
• Data integration

Welcome Quiz

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Program {.bigger}

• Nov. 25: ggplot2 and pheatmap
• Dec. 2: PCA, clustering and maybe more

Proposition

To make it more interactive:

• Quizzes (Kahoot, cf. programme)
• Exercises
• Students will be asked directly for the solution
• Tutorials

Simple data... for me

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But also...

• Course's web-page: https://vguillemot.github.io/ReMUSE/
• Slides in PDF (and HTML) format
• Exercises and solutions
• Tutorials

Ressources

• Rstudio's cheasheets (EN) de
  • dplyr (EN)
  • ggplot2 (EN)
• STDHA's page on colors (FR)
• R pour les débutants d'Emmanuel Paradis (FR)
• L'aide-mémoire de Julien Chiquet

moRe ! {.columns-2 .smaller}

• R for Data Science : https://r4ds.had.co.nz/
• R Cookbook : https://rc2e.com/
• Modern Data Science with R : https://mdsr-book.github.io/mdsr2e/
• Computational Genomics with R : https://compgenomr.github.io/book/
• ggplot2: elegant graphics for data analysis : https://ggplot2-book.org/index.html
• Reference for ggplot2 : https://ggplot2.tidyverse.org/reference/
• Extensions of ggplot2 : https://exts.ggplot2.tidyverse.org/gallery/

• A ggplot2 Tutorial for Beautiful Plotting in R : https://www.cedricscherer.com/2019/08/05/a-ggplot2-tutorial-for-beautiful-plotting-in-r/
• Package R patchwork : https://github.com/thomasp85/patchwork
• Circular Visualization in R : https://jokergoo.github.io/circlize_book/book/
• ComplexHeatmap : https://jokergoo.github.io/ComplexHeatmap-reference/book/
• Color palettes : https://github.com/EmilHvitfeldt/r-color-palettes

RNA-Seq {.columns-2 .bigger}

• YouTube Channel StatQuest
• DoItYourself Transcriptomics : https://diytranscriptomics.com/
• RNA-Seqlopedia : https://rnaseq.uoregon.edu/

• Selecting between-sample RNA-Seq normalization methods from the perspective of their assumptions (Evans 2017) :

vguillemot/ReMUSE documentation built on Dec. 23, 2021, 3:09 p.m.