This book offers 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. Editor(s): Yao Shugart, Yin. Num Pages: 196 pages, 14 black & white tables, biography. BIC Classification: MFN; PSD; TCB. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 462. . 2012. Hardback. . . . . Books ship from the US and Ireland.

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Titel: Applied Computational Genomics
Verlag: Springer
Erscheinungsjahr: 2013
Sprache: Englisch
ISBN-10: 9400755570
ISBN-13: 9789400755574
Einband: Hardcover
Zustand: New

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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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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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