Introduction to Single-Cell Analysis

Check your Prereq

Thank you for your interest in the upcoming Intro to Single-Cell Analysis workshop.

Learners in our previous workshop sessions have emphasized that familiarity with R syntax and the RStudio interface really helps you follow along and get the most out of the workshop.

---

Do I need to brush up on R/R-Studio?

To confirm that you have the requisite background, you might consider the list of tasks below.

In an R environment:

• Create a data frame from a comma separated text file.
• Given a data frame with columns city, state, zipcode, create a smaller data frame with all rows but only columns city and zipcode.
• Given a data frame with columns city, state, zipcode create a smaller data frame with all columns but only rows where state is Michigan.
• Given a data frame with columns city, state, zipcode create a smaller data frame with a count of unique zipcodes for each state.

If you can provide the syntax for at least 3 of the above tasks off the top of your head, you’re in good shape. Otherwise, you may want to review key R/R-Studio techniques.

---

How can I brush up?

• Work through a self-guided tutorial:
  • Checkout our Intro to R and RStudio workshop lesson.
  • Self-guided R training from the Software Carpentry Institute
  • Peruse the first section of R for Data Science (Hadley Wickham et al.).
• Watch a video:
  • An introduction to the R programming language for Bioinformatics students.
    (Sample data here.)
• Also, if you need a practice R/R-Studio environment, PositCloud allows you to run R-Studio over the web for free. Click here to login to PositCloud and launch an R session.

---

Happy learning - and please let us know if you have questions!

bioinformatics-workshops@umich.edu