Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	Dezember 2024
Genre:	EDV / Informatik
ISBN:	9789365897760
EAN-Code:	9789365897760
Verlag:	BPB Publications
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 191 mm / D 15 mm
Gewicht:	485 gr
Seiten:	256
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

DESCRIPTION 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. WHAT YOU WILL LEARN ¿ Understand core Python programming concepts for data analysis. ¿ Manipulate and analyze biological data effectively using Python. ¿ Create and manage functions and modules in Python code. ¿ Visualize complex datasets to identify patterns and insights. ¿ Implement file-handling techniques for various data types. ¿ Apply programming skills to real-world bioinformatics projects. WHO THIS BOOK IS FOR This book is ideal for students, researchers, and professionals in fields like biology, computer science, and biotechnology who seek to understand and apply bioinformatics techniques to analyze biological data and solve real-world problems.