In this lecture, we will introduce immune repertoire sequencing and practice working with the data. Open lecture17.ipynb and make sure to select the kernel for R so that you can execute R code. You should already have this set up from the previous few lectures.
This lecture will begin with a introduction to immune repertoire sequencing and analysis. We will then undertake a hands-on exercise using R and Bioconductor tools to analyze pre-processed immune repertoire data from two healthy individuals.
The primary goal of this lecture is to have you apply your existing coding skills to a new data context. After today's lecture, you will hopefully have
- a basic understanding of immune repertoire sequencing
- a familiarity with immune repertoire data
- experience working through example repertoire analyses
- visualizing rearrangement statistics
- evaluating repertoire overlap between individuals
Note: there is no homework associated with today's lecture