Bioinformatics with Python Cookbook 2nd Edition by Tiago Antao (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 49417
Number of Pages: 352

Rs.790.00

Rs.995.00

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Description

Bioinformatics with Python Cookbook (2nd Edition)

Author: Tiago Antao
Quality: Black White Pakistan Print

🔹 Introduction

Bioinformatics with Python Cookbook (2nd Edition) by Tiago Antao is a hands-on guide that merges biology with powerful Python programming. The book introduces readers to a wide array of bioinformatics tasks—from data manipulation to statistical analysis and visualization—using modern Python libraries. With a practical and application-oriented approach, it equips researchers, students, and professionals with tools to perform real-world bioinformatics analyses.

🔹 Key Points

Python-Powered Workflows: Offers ready-to-use code recipes for working with biological datasets using Biopython, scikit-allel, PyVCF, and other tools.
Practical Applications: Covers sequence analysis, population genetics, phylogenetics, genome-wide association studies (GWAS), and next-generation sequencing (NGS) data.
Step-by-Step Examples: Each recipe is clearly explained, from problem definition to implementation, making it accessible for all experience levels.
Modern Bioinformatics Tools: Utilizes up-to-date libraries and methods reflecting current trends in computational biology.
Data Visualization: Demonstrates how to visualize complex biological data using Python plotting libraries for better interpretation and reporting.

🔹 Why Read This Book

This book is ideal for bioinformaticians, data scientists, or biologists looking to integrate Python into their research workflows. It bridges the gap between theory and practice, allowing users to perform sophisticated analyses with minimal setup. The cookbook format means you can jump directly to the topics relevant to your needs, making it both flexible and time-efficient.

🔹 Conclusion

Whether you're developing pipelines, analyzing genomic datasets, or learning Python for biological research, Bioinformatics with Python Cookbook provides a powerful foundation. Its practical orientation and real-world applications make it a valuable addition to any computational biology toolkit.

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