Bioinformatics (eBook)

An Introduction

Jeremy Ramsden (Autor)

eBook Download: PDF

2015 | 3rd ed. 2015
XIX, 308 Seiten
Springer London (Verlag)
978-1-4471-6702-0 (ISBN)

Infos

This comprehensive textbook/reference presents a self-contained guide to bioinformatics, defined in its broadest sense as the application of information science to biology.Thoroughly updated and considerably expanded, this third edition now includes material on the growing array of “-omics”; covering metagenomics, toxicogenomics, glycomics, lipidomics, microbiomics, and phenomics. New chapters have also been added on ecosystems management and the nervous system. Emphasis is placed on providing both a firm grounding in the core concepts, and a clear overview of the complete field of bioinformatics.Topics and features: explains the fundamentals of information science relevant to biology, discussing set theory, combinatorics, probability, likelihood, clustering, pattern recognition, randomness, complexity, systems, and networks; covers both organismal (ontogeny and phylogeny, as well as genome structure) and molecular aspects; critically examines the most important practical applications of bioinformatics, providing 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; contains an extensive bibliography offering a guide to further reading and to the latest reported research.Combining the successful formula of the previous editions with significantly enhanced new content, this textbook serves as a complete study companion for undergraduates and the beginning graduate student. With its invaluable insights into the state-of-the-art of bioinformatics, the book is also ideal for physical scientists seeking a succinct guide to biology, and for biological scientists wishing to better understand the physicochemical and mathematical aspects underpinning the applications.

Autor

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

Inhalt

IntroductionPart I: InformationThe Nature of InformationThe Transmission of InformationSets and CombinatoricsProbability and LikelihoodRandomness and ComplexitySystems, Networks, and CircuitsAlgorithmsPart II: BiologyIntroduction to Part IIThe Nature of Living ThingsThe Molecules of LifePart III: ApplicationsIntroduction to Part IIIGenomicsProteomicsThe Glycome, Lipidome and MicrobiomeInteractomicsThe Nervous SystemMetabolomics and MetabonomicsPhenomicsMedical ApplicationsEcosystems ManagementThe Organization of Knowledge

Produkt-Details

• Erscheint lt. Verlag: 18.5.2015
• Reihe/Serie: Computational Biology
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
• Themenwelt: Naturwissenschaften ► Biologie ► Zellbiologie
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Angewandte Physik
• Themenwelt: Technik
• Schlagworte: algorithms • Bioinformatics • Biology • Complexity • Genome • Knowledge Representation • Sequence Analysis
• ISBN-10: 1-4471-6702-3 / 1447167023
• ISBN-13: 978-1-4471-6702-0 / 9781447167020