Bioinformatics with Python Cookbook

Front Cover
Packt Publishing, Jun 25, 2015 - Computers - 306 pages
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.

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About the author (2015)

Tiago Antao is a bioinformatician. He is currently studying the genomics of the mosquito Anopheles gambiae, the main vector of malaria. Tiago was originally a computer scientist who crossed over to computational biology with an MSc in bioinformatics from the Faculty of Sciences of the University of Porto, Portugal. He holds a PhD in the spread of drug resistant malaria from the Liverpool School of Tropical Medicine, UK. Tiago is one of the coauthors of Biopython-a major bioinformatics package-written on Python. He has also developed Lositan, a Jython-based selection detection workbench.In his postdoctoral career, he has worked with human datasets at the University of Cambridge, UK, and with the mosquito whole genome sequence data at the University of Oxford, UK. He is currently working as a Sir Henry Wellcome fellow at the Liverpool School of Tropical Medicine.

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