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Introduction to Bioinformatics by Arthur Lesk (2019, Trade Paperback)

Über dieses Produkt

Product Identifiers

PublisherOxford University Press, Incorporated
ISBN-100198794142
ISBN-139780198794141
eBay Product ID (ePID)11038261020

Product Key Features

Edition5
Book TitleIntroduction to Bioinformatics
Number of Pages432 Pages
LanguageEnglish
TopicLife Sciences / Biochemistry
Publication Year2019
IllustratorYes
GenreScience
AuthorArthur Lesk
FormatTrade Paperback

Dimensions

Item Height0.7 in
Item Weight32.9 Oz
Item Length10.4 in
Item Width7.6 in

Additional Product Features

LCCN2019-935954
Dewey Edition22
ReviewsReviews for the fourth edition:"I'm impressed with the breadth AND depth achieved in what is a reasonably compact text. There are lots of quite innovative features which support the pedagogical delivery of the material."--Richard Badge, University of Leicester
Dewey Decimal572.80285
Table Of Content1. Introduction2. From genetics to genomes3. The panorama of life4. Alignments and Phylogenetic Trees5. Structural bioinformatics and drug discovery6. Scientific publications and archives: media, content, access, and presentation7. Artificial intelligence and machine learning8. Introduction to systems biology9. Metabolic pathways10. Control of organization and organization of control
SynopsisActive, accessible, and assuming no prior knowledge: the ideal text for biologists encountering bioinformatics for the first time., 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., 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.
LC Classification NumberQH324.2

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