Applied computational genomics

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"Applied Computational Genomics" focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA.

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Availability

Detail Information

Series Title

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Call Number

572.86 App

Publisher

Dordrecht, The Netherlands : Springer., 2012

Collation

xii, 184 p. : ill. : ind. ; 24 cm

Language

English

ISBN/ISSN

9789400755574

Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Genomics.

Specific Detail Info

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Statement of Responsibility

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