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  3. CBB Jamboree - Intro to R
  • 1

    Intro to basics

    In this chapter, based on DataCamp's Intro To R course, you will take your first steps with R. You will learn how to use the console as a calculator and how to assign variables. You will also get to know the basic data types in R. Let's get started!

  • 2

    Data the Tidy Way

    In this chapter, you will learn some of the fundamentals of taking raw data and cleaning it to form tidy data, the fundamental currency of data science and visualization tools such as ggplot2.

  • 3

    Beautiful Data

    From tidy data comes great visualization - learn how to visualize your data using the grammer of graphics.

  • 4

    Application to Expression Data

    In this chapter, you will combine what you learned in the first three chapters to read in, tidy, and visualize gene expression data. Let's get started!

  • 5

    Extra Credit - Summarising Data

    Now at the end of our course, use what you know to take your data science investigations to the next level!

Initializing

Exercise

Plotting Gene Expression

You will start visually exploring by plotting the expression of one gene over time during influenza infection.

Instructions

200 XP

  • Plot the expression of the gene MX1 over Time during infection with the Brevig strain.

  • First dplyr::filter() data to observations where the Symbol is "MX1" and the Treatment is "Brevig" and save this in a new variable.

  • Then call ggplot() on this new variable and add x and y aesthetics using aes().

  • Finally, add a geom_point() layer to the ggplot() call.