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Translational bioinformatics and its...

Wei, Dong-Qing.

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Translational bioinformatics and its application

Record Type:	Electronic resources : Monograph/item
Title/Author:	Translational bioinformatics and its application/ edited by Dong-Qing Wei ... [et al.].
other author:	Wei, Dong-Qing.
Published:	Dordrecht :Springer Netherlands : : 2017.,
Description:	viii, 437 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Bioinformatics. -
Online resource:	http://dx.doi.org/10.1007/978-94-024-1045-7
ISBN:	9789402410457

Translational bioinformatics and its application
Translational bioinformatics and its application[electronic resource] /edited by Dong-Qing Wei ... [et al.]. - Dordrecht :Springer Netherlands :2017. - viii, 437 p. :ill., digital ;24 cm. - Translational medicine research,2451-991X. - Translational medicine research..

This book offers a detailed overview of translational bioinformatics together with real-case applications. Translational bioinformatics integrates the areas of basic bioinformatics, clinical informatics, statistical genetics and informatics in order to further our understanding of the molecular basis of diseases. By analyzing voluminous amounts of molecular and clinical data, it also provides clinical information, which can then be applied. Filling the gap between clinic research and informatics, the book is a valuable resource for human geneticists, clinicians, health educators and policy makers, as well as graduate students majoring in biology, biostatistics, and bioinformatics.

ISBN: 9789402410457

Standard No.: 10.1007/978-94-024-1045-7doiSubjects--Topical Terms:

553671
Bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Translational bioinformatics and its application
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245 0 0 $a Translational bioinformatics and its application $h [electronic resource] / $c edited by Dong-Qing Wei ... [et al.].
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520 $a This book offers a detailed overview of translational bioinformatics together with real-case applications. Translational bioinformatics integrates the areas of basic bioinformatics, clinical informatics, statistical genetics and informatics in order to further our understanding of the molecular basis of diseases. By analyzing voluminous amounts of molecular and clinical data, it also provides clinical information, which can then be applied. Filling the gap between clinic research and informatics, the book is a valuable resource for human geneticists, clinicians, health educators and policy makers, as well as graduate students majoring in biology, biostatistics, and bioinformatics.
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