Intro to R and Bioconductor

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Intro to R and Bioconductor

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Intro to R and Bioconductor

Keywords

Prerequisite, R-programming

Authors

Jenny Drnevich @jenny

Description

R is a free, open-source software environment and programming language for statistical computing and graphics. It is available for all computer platforms and is widely used, and many packages have been developed in the Bioconductor project for analysis of genomic data. This module covers the basic skills that will be needed before using R to analyze NGS data.

Aims

This module aims to take the novice and turn them into a beginning R user. We will describe the R environment and programming language structure so they can start to read and write code and know where to get additional help. The Bioconductor project will be described in general.

Prerequisites

Basic computer literacy (point-and-click interface)

Target audience

Graduates students/post docs/beginning faculty with an interest in learning R, particularly for genomic data analysis. No experience with R or other programming languages are required.

Learning objectives

Be able to describe what R is and how the programming environment works.
Be able to download and install R and add-on packages
Be able to read, understand and write simple R code
Appreciate how R can be used to analyze various types of scientific data, particularly genomic data using packages from Bioconductor.

Materials

Lecture
R Installation and Use Guide
R swirl instructions
Practice codes
Understanding R code cheat sheet

Data

Practice R objects

Description

Small collection of R data objects used in the practice questions at the end of the practice codes. Origin unimportant; used to illustrate manipulation of different object types.