Bioinformatics with Python Cookbook by Tiago Antao

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Synopsis

Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biologyAbout This BookDiscover and learn the most important Python libraries and applications to do a complex bioinformatics analysisFocuses on the most modern tools to do research with next generation sequencing, genomics, population genetics, phylogenomics, and proteomicsUses real-world examples and teaches you to implement high-impact research methodsWho This Book Is For

If you have intermediate-level knowledge of Python and are well aware of the main research and vocabulary in your bioinformatics topic of interest, this book will help you develop your knowledge further.

What You Will LearnGain a deep understanding of Python's fundamental bioinformatics libraries and be exposed to the most important data science tools in PythonProcess genome-wide data with BiopythonAnalyze and perform quality control on next-generation sequencing datasets using libraries such as PyVCF or PySAMUse DendroPy and Biopython for phylogenetic analysisPerform population genetics analysis on large datasetsSimulate complex demographies and genomic features with simuPOPIn Detail

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.

 

About Tiago Antao

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Published June 25, 2015 by Packt Publishing. 306 pages
Genres: Computers & Technology, Education & Reference, Nature & Wildlife, Science & Math. Non-fiction