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Bioinformatics
Volume I: Data, Sequence Analysis, and Evolution
Taschenbuch von Jonathan M. Keith
Sprache: Englisch

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Beschreibung
This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised of three sections: Data and Databases, Sequence Analysis, and Phylogenetics and Evolution. The first section details bioinformatics methodologies in the generation of sequence and structural data and its organization into conceptual categories, and databases to facilitate further analyses. The Sequence Analysis section describes the fundamental methodologies for processing the sequences of biological molecules: techniques that are used in almost every pipeline of bioinformatics analysis, particularly in the preliminary stages of such pipelines. Last but not least, the phylogenetics and evolution section deals with methodologies that compare biological sequences for the purpose of understanding how they evolved. As a volume in the highly successful Methods in Molecular Biology series, chapters feature the kind of detail and expert implementation advice to ensure positive results.

Comprehensive and practical, Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is an essential resource for graduate students, early career researchers, and others who are in the process of integrating new bioinformatics methods into their research.
This second edition provides updated and expanded chapters covering a broad sampling of useful and current methods in the rapidly developing and expanding field of bioinformatics. Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised of three sections: Data and Databases, Sequence Analysis, and Phylogenetics and Evolution. The first section details bioinformatics methodologies in the generation of sequence and structural data and its organization into conceptual categories, and databases to facilitate further analyses. The Sequence Analysis section describes the fundamental methodologies for processing the sequences of biological molecules: techniques that are used in almost every pipeline of bioinformatics analysis, particularly in the preliminary stages of such pipelines. Last but not least, the phylogenetics and evolution section deals with methodologies that compare biological sequences for the purpose of understanding how they evolved. As a volume in the highly successful Methods in Molecular Biology series, chapters feature the kind of detail and expert implementation advice to ensure positive results.

Comprehensive and practical, Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is an essential resource for graduate students, early career researchers, and others who are in the process of integrating new bioinformatics methods into their research.
Zusammenfassung

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

Inhaltsverzeichnis

Genome Sequencing.- Sequence Assembly.- A Practical Approach to Protein Crystallography.- Managing Sequence Data.- Genome Annotation.- Working with Ontologies.- The Classification of Protein Domains.- Multiple Sequence Alignment.- Large-Scale Sequence Comparison.- Genomic Database Searching.- Finding Genes in Genome Sequence.- Sequence Segmentation with changeptGUI.- Measuring Natural Selection.- Inferring Trees.- Identifying Optimal Models of Evolution.- Scaling Up the Phylogenetic Detection of Lateral Gene Transfer Events.- Detecting and Analyzing Genetic Recombination Using RDP4.- Species Tree Estimation from Genome-Wide Data with Guenomu.

Details
Erscheinungsjahr: 2018
Fachbereich: Allgemeines
Genre: Biologie
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Methods in Molecular Biology
Inhalt: x
491 S.
36 s/w Illustr.
81 farbige Illustr.
491 p. 117 illus.
81 illus. in color.
ISBN-13: 9781493982523
ISBN-10: 1493982524
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Redaktion: Keith, Jonathan M.
Herausgeber: Jonathan M Keith
Auflage: Softcover reprint of the original 2nd ed. 2017
Hersteller: Springer New York
Springer US, New York, N.Y.
Methods in Molecular Biology
Maße: 254 x 178 x 28 mm
Von/Mit: Jonathan M. Keith
Erscheinungsdatum: 21.06.2018
Gewicht: 0,938 kg
Artikel-ID: 114134519
Zusammenfassung

Includes cutting-edge methods and protocols

Provides step-by-step detail essential for reproducible results

Contains key notes and implementation advice from the experts

Inhaltsverzeichnis

Genome Sequencing.- Sequence Assembly.- A Practical Approach to Protein Crystallography.- Managing Sequence Data.- Genome Annotation.- Working with Ontologies.- The Classification of Protein Domains.- Multiple Sequence Alignment.- Large-Scale Sequence Comparison.- Genomic Database Searching.- Finding Genes in Genome Sequence.- Sequence Segmentation with changeptGUI.- Measuring Natural Selection.- Inferring Trees.- Identifying Optimal Models of Evolution.- Scaling Up the Phylogenetic Detection of Lateral Gene Transfer Events.- Detecting and Analyzing Genetic Recombination Using RDP4.- Species Tree Estimation from Genome-Wide Data with Guenomu.

Details
Erscheinungsjahr: 2018
Fachbereich: Allgemeines
Genre: Biologie
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Reihe: Methods in Molecular Biology
Inhalt: x
491 S.
36 s/w Illustr.
81 farbige Illustr.
491 p. 117 illus.
81 illus. in color.
ISBN-13: 9781493982523
ISBN-10: 1493982524
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Redaktion: Keith, Jonathan M.
Herausgeber: Jonathan M Keith
Auflage: Softcover reprint of the original 2nd ed. 2017
Hersteller: Springer New York
Springer US, New York, N.Y.
Methods in Molecular Biology
Maße: 254 x 178 x 28 mm
Von/Mit: Jonathan M. Keith
Erscheinungsdatum: 21.06.2018
Gewicht: 0,938 kg
Artikel-ID: 114134519
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