FAQ

What’s this class all about?

This class introduces methods, tools, and software for reproducibly managing, manipulating, analyzing, and visualizing large-scale biomedical data. Specifically, the course introduces the R statistical computing environment and packages for manipulating and visualizing high-dimensional data, covers strategies for reproducible research, and culminates with analysis of data from a real RNA-seq experiment using R and Bioconductor packages.

It’s not a statistics class. Although we’ll probably do some modeling and hypothesis testing, and talk a bit about design, statistics isn’t the focus if this class. On a 1 to 10 scale of theory to practice, this course sits at about an 8.

What are the pre-requisites?

There are none! This class doesn’t assume any knowledge of programming or using a command-line interface, but if you’ve ever had any experience here, the content won’t come as so much of a shock. But don’t panic. Command-line interfaces and programming languages like R are incredibly powerful and will be utterly transformative on your research. There’s a learning curve, and it’s near-vertical in the beginning, but it’s surmountable and the payoff is worth it!

Some general knowledge of statistics and study design is helpful, but isn’t strictly required.

Do I need a laptop?

YES. You must have access to a computer on which you can install software. The class will be a mix of lecture, discussion, but primarily live coding. You must bring your laptop to the course every day. Bring your charging cable also.

What do I need on my laptop prior to class?

All the software we’re using in class is open-source and freely available online. This setup must be completed prior to class, as we will not have time for troubleshooting software installation issues during class. See the setup instructions for R/RStudio, and contact me if you have any real trouble.

Can I audit this course?

Yes! However, you will be expected to attend every class meeting, participate in coding exercises during class, and complete any and all assignments, just as if you are taking the course for credit.

UPDATE Feb 9 2016: The class is currently full.

Where will the class meet?

See the syllabus.

Where do I get more help?

Glad you asked! See the list I made here.