Sidney Kimmel Comprehensive Cancer Center Genomics COVID-19 Training
The SKCCC Convergence Institute, in coordination with the Center for Computational Genomics and Single Cell Initiative, is launching an online only genomics training effort with a focus on COVID-19 research.The SKCCC courses Introduction to R - Covid-19 edition and Introduction to Single Cell analysis are now open for registration. In order to defray computing costs and support teaching assistants, the Center for Computational Genomics is asking for tuition of $100 per course. Tuition can be paid by budget number and tuition remission (for faculty and staff only).
Introduction to R. The course is built on a platform for learning R interactively called Swirl. It’s embedded right into R itself, so you learn in the same environment in which you will work. The course will support your progress with additional instructional materials and exercises, and a slack group where students will find a community of faculty, TAs and classmates. We will use a 15 module course built into the basic installation of Swirl, R Programming, designed as an introduction for new R programmers.
Schedule: This course will begin the week of April 20th. The course will run for 4 weeks, and while students are free to work at their own pace, we will schedule 2 live sessions each week, where students are encouraged to login while they work through the day’s swirl topic. Instructors will be available to provide extra help, and participants can engage in peer support to discuss problems and solutions. Final days and times for live sessions will be determined based on student availability, please indicate your preferences on the registration form.
Materials: There is no textbook. Upon registration, you will receive access to the course slack group, along with instructions for obtaining and getting started with Slack, R and Swirl.
Introduction to Single Cell Analysis; The online, Covid-19 edition of Introduction to Single Cell Analysis course is a hands-on introduction to the single cell analysis for biomedical scientists, with a focus towards applications in cancer immunology. We assume that you are familiar with programming in R, but no formal background in statistics or genomics is necessary.
Schedule: This course will begin on the week of May 25th. The course will meet twice a week and run for 4 weeks. Final days and times for live sessions will be determined based on student availability, please indicate your preferences on the registration form.
Registration for both courses is open from now until Friday, April 17th. Please register by completing this registration form.