learn-data-visualisation_genome-biology

Here is a non-exhaustive list of resources that you can explore to learn and deepen your knowledge of data visualisation for genome biology.

Fundamentals of Data Visualisation: https://clauswilke.com/dataviz/index.html

Unix

• Introduction to Unix: http://andrewjrobinson.github.io/training_docs/tutorials/unix/ + https://andrewjrobinson.github.io/training_docs/tutorials/hpc/

• Basic Unix commands: https://mally.stanford.edu/~sr/computing/basic-unix.html

R

• How to use R?: http://swcarpentry.github.io/r-novice-inflammation/

• R Tutorial/DataStructures/Graphics/Statistics: https://www.w3schools.com/r/default.asp

• Data Manipulation and Visualisation in R: https://intersectaustralia.github.io/training/R203/

• R Programming for Data Science: https://bookdown.org/rdpeng/rprogdatascience/#stay-in-touch

• R for Data Science (2e): https://r4ds.hadley.nz/

• Efficient R programming: https://csgillespie.github.io/efficientR/

• 30 R Packages For Data Visualization That You May Not Know Of: https://medium.com/geekculture/20-r-packages-for-data-visualization-that-you-may-not-know-of-3276b468101f

• Advanced R: https://adv-r.hadley.nz/index.html

• CheatSheet R: https://geekcologist.files.wordpress.com/2023/07/fm_cheatsheet.pdf

ggplot

• Data Visualisation in R with ggpltot2: https://sscc.wisc.edu/sscc/pubs/dvr/ggplot-building-blocks.html

• ggplot2: Elegeant Graphics for Data Analysis (3e): https://ggplot2-book.org/