**Bioinformatics with Python** ![](book.jpg) ![](book2.jpg) If you are interested in using Python for Bioinformatics, you might want to check out the second edition of my [book](https://www.packtpub.com/big-data-and-business-intelligence/bioinformatics-python-cookbook-second-edition). This book is slightly different from the standard books on Bioinformatics and Python: It is not about teaching Bioinformatics algorithms, but about solving practical day-to-day problems with Python, for example: (##) Genomics ![P. falciparum genome (malaria parasite)](book_genomics.png) (##) Proteomics Lots of stuff including movie production with proteins. ![Around protein P53](https://www.youtube.com/watch?v=CuEP40Id9O8) (##) Next-Generation Sequencing ![Distribution of read depth per SNP type (coding, non-coding, ...)](book_ngs.png) (##) Gene Ontologies ![Gene ontology trees](book_go.png) (##) Population Genetics ![Principal Component Analysis of Human Genomes](book_popgen.png) (##) Population Simulation ![Simulation of population declines](book_sim.png) (##) Phylogenetics ![Phylogenetics of the Ebola Virus](book_phylo.png) (##) Using Geo-referenced biological data ![Distribution of species around the Galápagos](book_geo.png) (##) Interacting with R from Python ![GGplot2 via RPy](book_R.png) (##) Other topics - Advanced Python tips related to high-performance computing - Data pipelines - Dask and Spark - Cython and Numba The book has a free [Git repository](https://github.com/PacktPublishing/Bioinformatics-with-Python-Cookbook-Second-Edition). The repository of the first edition of the book is [still available](https://github.com/tiagoantao/bioinf-python). [Home](/)