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Lecture 17: Immune repertoire sequencing and analysis

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.

Learning Objectives

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

Class materials

  • The lecture slides are available here
  • The lecture notebook is available here

Note: there is no homework associated with today's lecture