R course exercises - Babraham Bioinformatics
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Post Course Recap:
Introduction to R
(With Tidyverse)
Version 2020-04
Try to perform the operations below using the data in the Introduction to R data folder.
• Open a new script file (and restart RStudio if you still had it running from before)
• Set your working directory to be the directory with the R intro data in it
• Import the functions from the tidyverse package into your script
Trumpton
• Load in the “trumpton.txt” tab delimited file into a tibble and save it into a variable
• Plot out a scatterplot of the Age vs Weight, what generally happens as you get older?
• There is only one individual who weighs more than 100kg, make a selection to find this person and then just show their first and last names
• Plot a barplot (using geom_col) where the x aesthetic is the last name, and the y aesthetic is the Age. Make it so the bars are filled with magenta2 and the lines are coloured black
Child Variants
• Load the child variants dataset
• Select all of the rows (variants) which occur in the first 5Mbp of Chr X
• From this set of variants plot out a scatterplot of MutantReads vs Coverage and colour it by quality. What do you notice about the poor quality calls?
• Filter the variants on chr 1 which have a valid dbSNP id. Plot out their position vs their coverage as a line graph. Colour the line grey and make it 1 unit thick.
• Repeat the last plot, but remove any variants with a coverage of over 200
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