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Bioinformatics
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Bioinformatics : Volume I: Data, Sequence Analysis, and Evolution

Softcover reprint of the original 2nd ed. 2017

Book Details

Format Paperback / Softback
ISBN-10 1493982524
ISBN-13 9781493982523
Edition Softcover reprint of the original 2nd ed. 2017
Publisher Humana Press Inc.
Imprint Humana Press Inc.
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 21st, 2018
Print length 491 Pages
Ksh 14,400.00
Werezi Extended Catalogue 0 in stock

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Bioinformatics, Volume I: Data, Sequence Analysis, and Evolution, Second Edition is comprised of three sections: Data and Databases, Sequence Analysis, and Phylogenetics and Evolution.

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.


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