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Computational Biology
cover

Bioinformatics

An Introduction

Authors: Ramsden, Jeremy

  • Provides a concise yet comprehensive and self-contained introduction to the field of bioinformatics
  • Thoroughly updated and enhanced fourth edition featuring new chapters on data mining, causal inference, and the role of bioinformatics in understanding cancer, plus many expanded sections
  • Brings together the multiple disciplines necessary for a profound grasp of the field
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eBook  
  • ISBN 978-3-030-45607-8
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover ca. $119.99
price for USA in USD
About this Textbook

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 cancer research applications, data mining, and causal inference in biology. This edition additionally includes new and updated material on inference engines, stem cell programmability, the ontology of bioinformatics, and natural and artificial ecosystems. Also covered are new developments in sequencing technologies, gene editing methods, and the modelling of the brain, as well as state-of-the-art medical applications. Of especial topicality is a new chapter on bioinformatics aspects of the present coronavirus epidemic.

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, and genome structure, 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.

About the authors

Dr. Jeremy Ramsden is Hon. Prof. of Nanotechnology in the Clore Laboratory at the University of Buckingham, UK.

Buy this book

eBook  
  • ISBN 978-3-030-45607-8
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover ca. $119.99
price for USA in USD

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Bibliographic Information

Bibliographic Information
Book Title
Bioinformatics
Book Subtitle
An Introduction
Authors
Series Title
Computational Biology
Series Volume
21
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-45607-8
Hardcover ISBN
978-3-030-45606-1
Series ISSN
1568-2684
Edition Number
4
Number of Illustrations
50 illustrations in colour
Additional Information
Originally published as volume 3 in the series: Computational Biology
Topics