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Bioinformatics with Python Cookbook

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  • Gain a deep understanding of Python's fundamental bioinformatics libraries and be exposed to the most important data science tools in Python
  • Process genome-wide data with Biopython
  • Analyze and perform quality control on next-generation sequencing datasets using libraries such as PyVCF or PySAM
  • Use DendroPy and Biopython for phylogenetic analysis
  • Perform population genetics analysis on large datasets
  • Simulate complex demographies and genomic features with simuPOP

If you are either a computational biologist or a Python programmer, you will probably relate to the expression "explosive growth, exciting times". Python is arguably the main programming language for big data, and the deluge of data in biology, mostly from genomics and proteomics, makes bioinformatics one of the most exciting fields in data science.

Using the hands-on recipes in this book, you'll be able to do practical research and analysis in computational biology with Python. We cover modern, next-generation sequencing libraries and explore real-world examples on how to handle real data. The main focus of the book is the practical application of bioinformatics, but we also cover modern programming techniques and frameworks to deal with the ever increasing deluge of bioinformatics data.

  • Discover and learn the most important Python libraries and applications to do a complex bioinformatics analysis
  • Focuses on the most modern tools to do research with next generation sequencing, genomics, population genetics, phylogenomics, and proteomics
  • Uses real-world examples and teaches you to implement high-impact research methods
Page Count 306
Course Length 9 hours 10 minutes
ISBN 9781782175117
Date Of Publication 24 Jun 2015


Tiago Antao

Tiago Antao is a bioinformatician currently working in the field of genomics. He was originally a computer scientist but he crossed over to computational biology with an MSc in Bioinformatics from the Faculty of Sciences at the University of Porto, Portugal, and a PhD on the spread of drug-resistant malaria from the Liverpool School of Tropical Medicine in the UK. He is one of the co-authors of Biopython, a major bioinformatics package written in Python.

In his post-doctoral career, he has worked with human datasets at the University of Cambridge (UK) and with mosquito whole genome sequence data at the University of Oxford (UK). He is currently working as a research scientist at the University of Montana.