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Add to basketPaperback. Condition: Brand New. 1st edition. 298 pages. 9.00x7.25x0.50 inches. In Stock.
Condition: New. pp. 250.
Language: English
Published by Elsevier Science Publishing Co Inc, 2018
ISBN 10: 0128094141 ISBN 13: 9780128094143
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Taschenbuch. Condition: Neu. Human Genome Informatics | Translating Genes Into Health | Christophe Lambert (u. a.) | Taschenbuch | Englisch | 2018 | Elsevier Science | EAN 9780128094143 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Elsevier Science Aug 2018, 2018
ISBN 10: 0128094141 ISBN 13: 9780128094143
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Human Genome Informatics: Translating Genes into Health examines the most commonly used electronic tools for translating genomic information into clinically meaningful formats. By analyzing and comparing interpretation methods of whole genome data, the book discusses the possibilities of their application in genomic and translational medicine. Topics such as electronic decision-making tools, translation algorithms, interpretation and translation of whole genome data for rare diseases are thoroughly explored. In addition, discussions of current human genome databases and the possibilities of big data in genomic medicine are presented. With an updated approach on recent techniques and current human genomic databases, the book is a valuable source for students and researchers in genome and medical informatics. It is also ideal for workers in the bioinformatics industry who are interested in recent developments in the field. 314 pp. Englisch.
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Human Genome Informatics: Translating Genes into Health examines the most commonly used electronic tools for translating genomic information into clinically meaningful formats. By analyzing and comparing interpretation methods of whole genome data, the book discusses the possibilities of their application in genomic and translational medicine. Topics such as electronic decision-making tools, translation algorithms, interpretation and translation of whole genome data for rare diseases are thoroughly explored. In addition, discussions of current human genome databases and the possibilities of big data in genomic medicine are presented. With an updated approach on recent techniques and current human genomic databases, the book is a valuable source for students and researchers in genome and medical informatics. It is also ideal for workers in the bioinformatics industry who are interested in recent developments in the field.