Applied Computational Genomics (Hardcover, 2012 ed.)

"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. "

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Translational Bioinformatics, 1
Release date:	2013
First published:	2013
Editors:	Yin Yao Shugart
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Hardcover
Pages:	184
Edition:	2012 ed.
ISBN-13:	978-9400755574
Categories:	Books > Medicine > Pre-clinical medicine: basic sciences > Medical genetics Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Professional & Technical > Biochemical engineering > Biotechnology > General
LSN:	9400755570
Barcode:	9789400755574

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