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Biomedical Sciences - Human Genetics | Applied Computational Genomics

Applied Computational Genomics

Shugart, Yin Yao (Ed.)

2012, XII, 184 p. 10 illus., 8 illus. in color.

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  • Provides detailed introduction for the evolution of the field
  • Reviews statistical development and application in the area of human genomics
  • Describes the view of future direction towards translational biology ​

"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.

Content Level » Research

Keywords » Gene mapping - exon sequencing - linkage analysis - population-based genome-wide association - whole genome sequencing analysis

Related subjects » Biotechnology - Human Genetics - Systems Biology and Bioinformatics

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