Introduction to Bioinformatics

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Bioinformatics is a rapidly evolving field at the crossroads of biology and computational science, where the complexities of genetic and molecular data are unraveled through advanced computational techniques. Introduction to Bioinformatics serves as a comprehensive guide for those venturing into this interdisciplinary domain, providing a thorough overview of how bioinformatics transforms biological research and medical practice. This book begins with foundational concepts, explaining the core principles of molecular biology and how they intersect with computational methods. Readers will explore the significance of DNA, RNA, and proteins in the context of bioinformatics, learning how these biological molecules are analyzed through cutting-edge technologies like next-generation sequencing and RNA sequencing. The text delves into essential bioinformatics tools and techniques, including sequence alignment algorithms and the use of substitution matrices such as PAM and BLOSUM. It also covers the practical applications of bioinformatics in genomics, proteomics, and personalized medicine, highlighting how these innovations contribute to our understanding of genetic variation, disease mechanisms, and targeted therapies. Introduction to Bioinformatics is designed for students, researchers, and professionals seeking to understand the intersection of biological data and computational science. With its clear explanations, practical examples, and forward-looking perspective, this book provides readers with the knowledge and tools needed to navigate and contribute to the exciting world of bioinformatics.

Bol Partner

Written by a pioneer of the use of bioinformatics in research, the second edition ofIntroduction to Bioinformatics introduces the student to the power of bioinformatics as a set of scientific tools. Retaining and enhancing the rich pedagogy and lucid presentation of the first edition, this new edition explains how to access the data archives of genomes and proteins, and the kind of questions these data and tools can answer. It also discusses how to make inferences from the data archives, how to make connections among them, and how to derive useful and interesting predictions. The book is accompanied by a fully integrated companion website.

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Pagina's: 434, Editie: 5, Paperback, Oxford University Press