Bioinformatics with Python Cookbook

Table of Contents

1. Python and the Surrounding Software Ecology
2. Using Data Processing Libraries: numpy, pandas, arrow, and zarr
3. Next Generation Sequencing
4. Advanced NGS Data Processing
5. Working with Genomes
6. Population Genetics
7. Phylogenetics
8. Using the Protein Data Bank
9. Bioinformatics Pipelines
10. Machine Learning for Bioinformatics
11. Parallel Processing with Dask
12. Functional and Asynchronous Programming