CCDL Virtual Training: May 2020

Dates: 2020-05-04 through 2020-05-08

Getting Started

Pre-workshop Prep

• Please review the Code of Conduct.
• If you are new to using R, we've assembled some resources for getting starting with R that can optionally help prepare you for the workshop.
• Please install the required software and take a look at how we intend to use during the workshop (see below).
• Sign up for the Cancer Data Science Slack workspace at http://ccdatalab.org/slack. Please use your full name in your profile, so we can find you easily and add you to the private meeting channel.
• Once you have been given your username and temporary password, follow these instructions to log in to our RStudio server and change your password.

Please take a look at our procedures to familiarize yourself with how we will be using these platforms throughout training:

• Zoom procedures
• Slack procedures

Schedule

Video instruction via Zoom will occur on Monday and Wednesday, and CCDL instructors will be available for consultation on Tuesday and Thursday afternoons to help you work through training materials and your own data. On Friday, we will reconvene for some final questions, and to allow you to present the projects you have worked on to the other workshop participants.

For more details on the schedule for each day, click here or on the Schedule link on the upper right of this page.

Workshop Structure

A description of our plans and goals for the workshop can be found on the Workshop Structure page of this wiki. Please also refer to the schedule for information about timing and links relevant to each day. An overview of the modules we will cover and associated links can be found on the Workshop Materials page.

On instruction days, CCDL staff will lead you through course material using Zoom, Slack, and RStudio Server. We will record instruction and provide it to workshop attendees so they can revisit it outside of workshop hours or in case they experience disruptions during live instruction.

On consultation days, CCDL staff will be available to answer questions and provide 1:1 assistance as you work through exercise notebooks we provide or work with your own transcriptomic data. We’ll use Zoom and Slack for these days, too.