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Aimed at a biological audience, it is ideal for those without detailed prior knowledge of programming who are encountering bioinformatics for the first time
Frequent examples, self-test questions, problems, and exercises are incorporated throughout the text to encourage self-directed learning
Emphasises the practical applications of the subject to a wide range of disciplines, such as molecular biology, medicine, forensic science and anthropology
Invaluable information retrieval techniques and data calculations are covered to enable the reader to carry out their own online research
Online resources include data sets and Web-based problems, alongside guidance for answering the problems and exercises in the book

New to this Edition:

A host of new material includes new content on next generation sequencing, function prediction, sequence assembly, epigenomics, the bioinformatics of gene editing, and the effects of single nucleotide variants
Greater background information has been provided for advanced topics to ensure that a broad range of readers will have the necessary pre-requisite knowledge to understand them




Active, accessible, and assuming no prior knowledge: the ideal text for biologists encountering bioinformatics for the first time.

A vast amount of biological information about a wide range of species has become available in recent years as technological advances have significantly reduced the time it takes to sequence a genome or determine a novel protein structure. This text describes how bioinformatics can be used as a powerful set of tools for retrieving and analysing this biological data, and how bioinformatics can be applied to a wide range of disciplines such as molecular biology, medicine, biotechnology, forensic science and anthropology.

Fully revised and updated, the fifth edition of Introduction to Bioinformatics contains a host of new material including new content on next generation sequencing, function prediction, sequence assembly, epigenomics, the bioinformatics of gene editing, and the effects of single nucleotide variants.

Written primarily for a biological audience without a detailed prior knowledge of programming, this book is the perfect introduction to the field of bioinformatics, providing friendly guidance and advice on how to use various methods and techniques. Furthermore, frequent examples, self-test questions, problems, and exercises are incorporated throughout the text to encourage self-directed learning.



Table of Contents

1:Introduction
2:From genetics to genomes
3:The panorama of life
4:Alignments and phylogenetic trees
5:Structural bioinformatics and drug discovery
6:Scientific publications and archives: media, content, access, and presentation
7:Artificial intelligence and machine learning
8:Introduction to systems biology
9:Metabolic pathways
10:Control of organization and organization of control