Introduction to Bioinformatics with Python: Analyze Genomic Data and Build Bioinformatics Tools

Chesterfield, Greyson

ISBN 13: 9798302767417

Verlag: Independently published, 2024

Beschreibung

Bestandsnummer des Verkäufers 49497855-n

Bibliografische Details

Titel: Introduction to Bioinformatics with Python: ...

Verlag: Independently published

Erscheinungsdatum: 2024

Einband: Softcover

Zustand: New

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Inhaltsangabe:

Unlock the power of bioinformatics with Introduction to Bioinformatics with Python: Analyze Genomic Data and Build Bioinformatics Tools! This essential guide is perfect for anyone looking to dive into the world of genomic data analysis and learn how to build powerful bioinformatics tools using Python.

Whether you're a student, researcher, or professional in the field of bioinformatics, this book provides you with practical techniques and hands-on projects that bridge the gap between programming and life sciences. With Python's powerful libraries and straightforward syntax, you'll be able to analyze vast amounts of genetic data, perform essential computations, and create tools that solve real-world bioinformatics problems.

What’s Inside:

• Understanding Bioinformatics: Learn the key concepts of bioinformatics, from DNA sequences to protein structures, and understand the role of Python in this field.
• Working with Genomic Data: Discover how to import, process, and analyze genomic data, including sequence alignments, mutations, and gene expression.
• Using Python for Bioinformatics: Master Python libraries like Biopython, Pandas, and NumPy to handle, manipulate, and analyze genomic datasets.
• Building Bioinformatics Tools: Learn how to design and implement useful tools, such as sequence alignment programs, mutation analysis tools, and data visualization platforms.
• Practical Bioinformatics Projects: Work through real-world examples, including DNA sequence comparisons, genomic databases, and biological data mining.
• Bioinformatics in Research: Explore how bioinformatics is used in cutting-edge research like personalized medicine, genomics, and drug discovery.

By the end of this book, you'll have a solid understanding of how to analyze genomic data using Python and be equipped to tackle your own bioinformatics projects with confidence. Whether you're aiming to pursue a career in bioinformatics or simply want to add these skills to your toolset, this guide will set you on the right path.

Start your journey into the world of bioinformatics today and discover how Python can revolutionize the way you analyze and interpret genomic data!