lecture09

Lecture 09: Practical analyses in Python

This lecture will continue using Python to perform biological sequence analyses. In particular, we will use Biopython to read in sequencing data. We will also briefly use pandas for handling data frames and plotting.

Learning objectives

After this lecture, you should be able to write Python functions:

• Parse barcodes from a real deep-sequencing experiment.

• Convert data into a data frame.

• Plot basic data.

Class materials

• The content for this lecture is containing in the Jupyter notebook lecture09.ipynb located in this directory. Some of the content from lecture 08 is duplicated here for your convenience.