Jeremy Ramsden

Bioinformatics (eBook, PDF)

An Introduction

• Format: PDF

Produktbeschreibung

This invaluable textbook presents a self-contained introduction to the field of bioinformatics. Providing a comprehensive breadth of coverage while remaining accessibly concise, the text promotes a deep understanding of the field, supported by basic mathematical concepts, an emphasis on biological knowledge, and a holistic approach that highlights the connections unifying bioinformatics with other areas of science.

The thoroughly revised and enhanced fourth edition features new chapters focusing on regulation and control networks, the origins of life, evolution, statistics and causation, viruses, the microbiome, single cell analysis, drug discovery and forensic applications. This edition additionally includes new and updated material on the ontology of bioinformatics, data mining, ecosystems, and phenomics. Also covered are new developments in sequencing technologies, gene editing methods, and modelling of the brain, as well as state-of-the-art medical applications. Of specialtopicality is a new chapter on bioinformatics aspects of the coronavirus pandemic.

Topics and features:

• Explains the fundamentals of set theory, combinatorics, probability, likelihood, causality, clustering, pattern recognition, randomness, complexity, systems, and networks
• Discusses topics on ontogeny, phylogeny, genome structure, and regulation, as well as aspects of molecular biology
• Critically examines the most significant practical applications, offering detailed descriptions of both the experimental process and the analysis of the data
• Provides a varied selection of problems throughout the book, to stimulate further thinking
• Encourages further reading through the inclusion of an extensive bibliography

This classic textbook builds upon the successful formula of previous editions with coverage of the latest advances in this exciting and fast-moving field. With its interdisciplinary scope, this unique guide will prove to be an essential study companion to a broad audience of undergraduate and beginning graduate students, spanning computer scientists focusing on bioinformatics, students of the physical sciences seeking a helpful primer on biology, and biologists desiring to better understand the theory underlying important applications of information science in biology.

Dr. Jeremy Ramsden is Hon. Prof. of Nanotechnology in the Department of Biomedical Research at the University of Buckingham, UK.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 404
• Erscheinungstermin: 15. September 2023
• Englisch
• ISBN-13: 9783030456078
• Artikelnr.: 68980938

Autorenporträt

Dr. Jeremy Ramsden is Hon. Prof. of Nanotechnology in the Department of Biomedical Research at the University of Buckingham, UK.

Inhaltsangabe

Introduction.- Part I: Information .- The Nature of Information.- The Transmission of Information.- Sets and Combinatorics.- Probability and Likelihood.- Randomness and Complexity.- Systems, Networks and Circuits.- Algorithms.- Part II: Biology .- Introduction to Part II.- The Nature of Living Things.- The Molecules of Life.- Part III: Applications .- Introduction to Part III.- Genomics.- Proteomics.- The Glycome, Lipidome and Microbiome.- Interactomics.- The Nervous System.- Metabolomics and Metabonomics.- Phenomics.- Medical Applications.- Ecosystems Management.- The Organization of Knowledge.

Rezensionen

"The book gives short introductions to many topics, providing an overview of the field and leading readers to pursue specific areas as necessary. It can serve as an excellent supplement to a textbook used in bioinformatics or computational biology courses. The audience is advanced students with backgrounds in fields associated with bioinformatics, such as genetics, biostatistics, and computer science. Summing Up: Recommended. Upper-division undergraduates and graduate students." (M. C. Pavao, Choice, Vol. 53 (11), July, 2016)

"This book serves as a complete study companion for undergraduates and graduate students. With its invaluable insights into the state-of-the-art of bioinformatics, the book is also ideal for physical scientists seeking a succinct guide to biology, and for biological scientists wishing to better understand the physicochemical and mathematical aspects underpinning the applications." (Junliang Lu, zbMATH 1536.92001, 2024)