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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. Ofspecialtopicality 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 networksDiscusses topics on ontogeny, phylogeny, genome structure, and regulation, as well as aspects of molecular biologyCritically examines the most significant practical applications, offering detailed descriptions of both the experimental process and the analysis of the dataProvides a varied selection of problems throughout the book, to stimulate further thinkingEncourages 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.
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. Ofspecialtopicality 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 networksDiscusses topics on ontogeny, phylogeny, genome structure, and regulation, as well as aspects of molecular biologyCritically examines the most significant practical applications, offering detailed descriptions of both the experimental process and the analysis of the dataProvides a varied selection of problems throughout the book, to stimulate further thinkingEncourages 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.
"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)
From the reviews of the second edition:
"This book is a self-contained guide to bioinformatics that targets undergraduates interested in this field. Bioinformatics is an interdisciplinary field that involves computer science, engineering, biology, and medicine. This book covers the basics of these areas, so readers will acquaint themselves with the fundamental building blocks of bioinformatics. ... In short, this book is a wonderful text for entry-level students." (Hsun-Hsien Chang, ACM Computing Reviews, June, 2009)
"In the textbook under review, the author interprets the scientific field of bioinformatics in a broad manner ... . The range of topics covered by the book is impressive and these topics are structured very well by the author, giving the reader a good overview of the field and showing how the different concepts are related. ... The target audience of advanced undergraduate and graduate students will find this book useful ... to 'find out what is out there' in the field of bioinformatics." (Till Tantau, Mathematical Reviews, Issue 2012 b)
"This book is a self-contained guide to bioinformatics that targets undergraduates interested in this field. Bioinformatics is an interdisciplinary field that involves computer science, engineering, biology, and medicine. This book covers the basics of these areas, so readers will acquaint themselves with the fundamental building blocks of bioinformatics. ... In short, this book is a wonderful text for entry-level students." (Hsun-Hsien Chang, ACM Computing Reviews, June, 2009)
"In the textbook under review, the author interprets the scientific field of bioinformatics in a broad manner ... . The range of topics covered by the book is impressive and these topics are structured very well by the author, giving the reader a good overview of the field and showing how the different concepts are related. ... The target audience of advanced undergraduate and graduate students will find this book useful ... to 'find out what is out there' in the field of bioinformatics." (Till Tantau, Mathematical Reviews, Issue 2012 b)