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Details

This is a sequel to the 2-part Intro to R workshop series. Make sure you register for part 1 and part 2 as well!

RSVP here: https://forms.office.com/r/c89V4eqJTZ

WHO is this for?

  • If you are new to computational biology & are short on time!
  • If you'd like to start working on your project and want to learn the computational best practices and set-up 101!!
  • PRIORITY: PATH-GREU trainees from MSU Denver, followed by grad students at CU
  • Hosted in collaboration with Rladies. All genders welcome!

WHAT to expect
Part 1

  • You & your learning
  • Picking up methods & software
  • Organizing a computational project
  • Managing data & code
  • Embracing the software ecosystem

Part 2

  • Examining data & doing spot checks
  • Visual exploratory analysis
  • Preliminary data analysis
  • Writing & debugging code
  • Getting help

https://github.com/krishnanlab

AGENDA
11:00–11:10 Meet & Greet | Set-up
11:10–12:30 Workshop: Intro to R/RStudio
12:30 Q&A | Get help with your own data/projects

Sponsor: PATH-GREU

Events in Aurora, CO
Computational Biology
Data Science
Data Visualization
R Project for Statistical Computing
Statistical Computing

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