41,99 €
Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data, and this book will show you how to manage these tasks using Python.
This updated third edition of the Bioinformatics with Python Cookbook begins with a quick overview of the various tools and libraries in the Python ecosystem that will help you convert, analyze, and visualize biological datasets. Next, you'll cover key techniques for next-generation sequencing, single-cell analysis, genomics, metagenomics, population genetics, phylogenetics, and proteomics with the help of real-world examples. You'll learn how to work with important pipeline systems, such as Galaxy servers and Snakemake, and understand the various modules in Python for functional and asynchronous programming. This book will also help you explore topics such as SNP discovery using statistical approaches under high-performance computing frameworks, including Dask and Spark. In addition to this, you’ll explore the application of machine learning algorithms in bioinformatics.
By the end of this bioinformatics Python book, you'll be equipped with the knowledge you need to implement the latest programming techniques and frameworks, empowering you to deal with bioinformatics data on every scale.
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Seitenzahl: 388
Veröffentlichungsjahr: 2022
Use modern Python libraries and applications to solve real-world computational biology problems
Tiago Antao
BIRMINGHAM—MUMBAI
Copyright © 2022 Packt Publishing
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First published: June 2015
Second edition: November 2018
Third edition: September 2022
Production reference: 1090922
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Tiago Antao is a bioinformatician who is currently working in the field of genomics. A former computer scientist, Tiago moved into 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, UK. Post his doctoral, Tiago worked with human datasets at the University of Cambridge, UK and with mosquito whole-genome sequencing data at the University of Oxford, UK, before helping to set up the bioinformatics infrastructure at the University of Montana, USA. He currently works as a data engineer in the biotechnology field in Boston, MA. He is one of the co-authors of Biopython, a major bioinformatics package written in Python.
Urminder Singh is a bioinformatician, computer scientist, and developer of multiple open source bioinformatics tools. His educational background encompasses physics, computer science, and computational biology degrees, including a Ph.D. in bioinformatics from Iowa State University, USA.
His diverse research interests include novel gene evolution, precision medicine, sociogenomics, machine learning in medicine, and developing tools and algorithms for big heterogeneous data. You can visit him online at urmi-21.github.io.
Tiffany Ho works as a bioinformatics associate at Embark Veterinary. She holds a BSc from the University of California, Davis in genetics and genomics, and an MPS from Cornell University in plant breeding and genetics.
