Original Authors: Martin Morgan, Sonali Arora

Presenting Authors: Martin Morgan, Lori Shepherd

Date: 22 July, 2019
Back: Monday labs

This lab has four (five!) parts. Each part consists of informative material
followed by short or intermediate length exercises and case
studies. The material introduces or refreshes your knowledge of *R*,
and walks through some of the central classes and annotation resources
for working with high-throughput sequence data in *Bioconductor*.

It’s recommended that you choose two or three of the following
sections, and spend about 45 minutes to an hour on each. Take time to
work through the code in the material as well as the exercises, asking
questions of your colleagues and the TAs as needed. If you’re
relatively new to *R*, then consider doing sections 1 and 3. If you’re
new to *Bioconductor*, then skim the second and focus on the third and
fourth sections.

Section 1.5 was added during the lectures this morning, representing one idea of ‘fun’!

Download these files:

Choose the material you’d like to cover:

1.1 Introduction to *R* – Gain confidence
working with base R commands and data structures.

1.2 Introduction to tidy *R* – Gain confidence
working with base R commands and data structures.

1.3 Starting an anlysis – Finding
*R* and *Bioconductor* packages and resources to start an
analysis.

1.4 Data Representations
– Learn the essentials of *Bioconductor* data structures

1.5 Annotation – Learn about
*Bioconductor* resources for gene and genome annotation.