Advanced Single Cell RNA-Seq Remote Workshop

Who should attend? … Prior course participants have included faculty, post docs, grad students, staff, and industry researchers.

What are the prerequisites? … Participants should be familiar with the material covered in the Introduction to Single Cell RNA-Seq Workshop, including the use of the command line and R. Prior experience with the command line and R is a must to fully participate. If you would like to attend, listen and learn, that is OK, but we will be undable to train you in how to use the command line and R during this workshop.

What do I need to bring? … You will need to have access to a computer with an internet connection, have a recent version of R, Rstudio, and Java installed, and an application that will allow you to ssh into a server (e.g. Bash for Windows, or Terminal for Apple) as well as the ability to connect to the internet via wifi. Computational exercises will be performed on a remote server. We can help with setup early on in the workshop. If your department does not allow you to install software on the computer you’ll be using, please contact us ahead of time.

Can I bring my own data? … We will provide experimental datasets for use during the workshop, as this helps to keep the workshop moving. There will be time, however, to discuss your own datasets and how you might work with them outside of the workshop.

How much does it cost? … The registration fee is $1500 for UC and UC affiliates, $1750 for other academic or non-profit participants and $2,500 for other participants. We accept credit cards, as well as UC Davis recharge accounts, for payment.

Where is the workshop? … Online!

How do I apply? … All registration is “first-come, first-served.” There is no application process. Sign up as soon as possible to ensure your place in the workshop.

Where can I find more information, including your policies?  ... Go to our website (bioinformatics.ucdavis.edu/training/) and check out our FAQ and Policies.

Questions?

If you have any questions, please don’t hesitate to contact us at training.bioinformatics@ucdavis.edu