Python for Bioinformatics
ebook ∣ Using Machine Learning for Drug Discovery, Cluster Analysis, and Phylogenetics
By Parul Verma
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Python for Bioinformatics is an essential resource for anyone looking to integrate programming into their biological research. As the field of bioinformatics continues to expand, the ability to analyze vast amounts of biological data becomes increasingly crucial.
This book introduces bioinformatics, blending Python programming with biological data analysis. It covers essentials like string handling, regular expressions, file I/O, and object-oriented programming. You will explore Biopython for sequence alignment, format parsing, and accessing biological databases. Learn data visualization with Matplotlib and apply bioinformatics techniques like sequence alignment and phylogenetic analysis. The final chapter includes hands-on mini-projects to solidify your understanding, making it a practical guide for mastering bioinformatics and Python in real-world applications.
By bridging the gap between biology and computational science, this book empowers readers to tackle real-world challenges in their learning. With clear explanations and practical examples, readers will be well-prepared to apply Python for understanding biological data, contributing to advancements in the field of bioinformatics.