Introduction to R
This course will introduce the fundamentals of programming in R. Topics will include coding guidelines, data types, functions, reading/writing files, and data manipulations within dataframes. We will also step into the world of the Tidyverse and learn how to manipulate dataframes within this new paradigm. This course is designed for students with little to no programming experience (prior installation of R is not required). The goal of this course is to become comfortable working in an R environment.
Preferred or Prerequisite Skills:
Students are expected to bring their own laptop and are able to connect to the UT WiFi network. As an introductory course, no prior knowledge of R programming is required.
Matt Bramble (Bioinformatician, Bioinformatics Consulting Group, CBRS)
Matt Bramble has recently joined the CBRS team after six years at MD Anderson Cancer Center analyzing a wide range of NGS data in epigenomics. His areas of expertise include: Hi-C (chromatin conformation) analysis, mouse somatic variant analysis, and single cell RNAseq analysis. He has 10 years of experience with R and Python, and Master’s degrees from UT in Molecular Biology and Statistics.
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$50