Overview
- Provides a concise yet comprehensive and self-contained introduction to the field
- Features new chapters on data mining, causal inference, and the role of bioinformatics in understanding cancer
- Brings together the multiple disciplines necessary for a profound grasp of the field
Part of the book series: Computational Biology (COBO)
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Table of contents (31 chapters)
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Front Matter
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Biology
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Front Matter
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Keywords
About this book
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.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Bioinformatics
Book Subtitle: An Introduction
Authors: Jeremy Ramsden
Series Title: Computational Biology
DOI: https://doi.org/10.1007/978-3-030-45607-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-030-45606-1Published: 16 September 2023
Softcover ISBN: 978-3-030-45609-2Due: 17 October 2023
eBook ISBN: 978-3-030-45607-8Published: 15 September 2023
Series ISSN: 1568-2684
Series E-ISSN: 2662-2432
Edition Number: 4
Number of Pages: XXII, 404
Number of Illustrations: 40 b/w illustrations, 4 illustrations in colour
Additional Information: Originally published as volume 3 in the series: Computational Biology
Topics: Bioinformatics, Cell Biology, Biomedicine, general, Biomedicine, general