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 special topicality 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.
General
| Imprint: |
Springer Nature Switzerland AG
|
| Country of origin: |
Switzerland |
| Series: |
Computational Biology |
| Release date: |
September 2023 |
| First published: |
2023 |
| Authors: |
Jeremy Ramsden
|
| Dimensions: |
235 x 155mm (L x W) |
| Format: |
Hardcover
|
| Pages: |
452 |
| Edition: |
4th ed. 2023 |
| ISBN-13: |
978-3-03-045606-1 |
| Categories: |
Books
Promotions
|
| LSN: |
3-03-045606-4 |
| Barcode: |
9783030456061 |
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