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Bioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: large-scale DNA sequencing, measu… Plus…

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Bioinformatics - edition reliée, livre de poche

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Bioinformatics

Bioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays, and new profiling techniques in proteomics. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution. In this comprehensive textbook, Polanski and Kimmel present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background. TOC:Introduction.- Part I - Mathematical and Computational Methods: Probability and Statistics - Computer Sciences Algorithms - Pattern Analysis - Optimization. Part II - Applications: Sequence Alignment - Molecular Phylogenetics - Genomics - Proteomics - RNA - DNA Microarrays - Bioinformatic Databases and Bionformatic Internet Resources - References - Index.

Informations détaillées sur le livre - Bioinformatics


EAN (ISBN-13): 9783540241669
ISBN (ISBN-10): 3540241663
Version reliée
Livre de poche
Date de parution: 2007
Editeur: Springer Berlin Heidelberg Core >2 >T

Livre dans la base de données depuis 2007-06-05T19:34:40+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-01-16T11:52:17+01:00 (Zurich)
ISBN/EAN: 9783540241669

ISBN - Autres types d'écriture:
3-540-24166-3, 978-3-540-24166-9
Autres types d'écriture et termes associés:
Auteur du livre: polanski, kimmel, kim, mare, kimm, andrzej just, marek simper
Titre du livre: bioinformatics, polanski


Données de l'éditeur

Auteur: Andrzej Polanski
Titre: Bioinformatics
Editeur: Springer; Springer Berlin
376 Pages
Date de parution: 2007-04-19
Berlin; Heidelberg; DE
Langue: Anglais
54,99 € (DE)

BB; Hardcover, Softcover / Informatik, EDV/Informatik; Theoretische Informatik; Verstehen; Alignment; Analysis; DNA sequencing; Microarray; algorithms; bioinformatics; computer; computer science; database; databases; genetics; genome; optimization; statistics; Theory of Computation; Life Sciences; Computational and Systems Biology; Bioinformatics; Automated Pattern Recognition; Biowissenschaften, allgemein; DV-gestützte Biologie/Bioinformatik; Mustererkennung; BC

Mathematical and Computational Methods.- Probability and Statistics.- Computer Science Algorithms.- Pattern Analysis.- Optimization.- Applications.- Sequence Alignment.- Molecular Phylogenetics.- Genomics.- Proteomics.- RNA.- DNA Microarrays.- Bioinformatic Databases and Bioinformatic Internet Resources.

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