June 2015
Intermediate to advanced
306 pages
6h 50m
English
Overview
Dive into the intersection of biology and data science with 'Bioinformatics with Python Cookbook.' This book equips you to leverage Python and its ecosystem of libraries to tackle complex challenges in computational biology, covering topics like genomics, phylogenetics, and big data bioinformatics.
What this Book will help me do
- Understand the Python ecosystem specifically tailored for computational biology applications.
- Analyze and visualize next-generation sequencing data effectively.
- Explore and simulate population genetics for robust biological research.
- Utilize the Protein Data Bank to extract critical insights about proteins.
- Handle big genomics datasets with Python tools for large-scale bioinformatics studies.
Author(s)
Tiago Antao is an established bioinformatician with expertise in Python programming. With years of practical experience in computational biology, he has tailored this cookbook with detailed and actionable examples. Tiago's mission is to make bioinformatic techniques using Python accessible to researchers of varying skill levels.
Who is it for?
This book is ideal for researchers, biologists, and data scientists with intermediate Python skills looking to expand their expertise in bioinformatics. It caters to professionals wanting to utilize computational tools for solving biological problems. If you're involved in work or study related to genomics, phylogenetics, or large-scale biology datasets, this guide offers practical solutions. Make the most out of Python in your research journey.
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