Bookeditor, Yin Yao Shugart.
Summary: 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.
Contents:
Ch. 1: Introduction
Ch. 2: Concepts of genetic epidemiology
Ch. 3: Integration of linkage analysis and next-generation sequencing data
Ch. 4: From family study to population study: a history of genetic mapping for nasopharyngeal carcinoma (NPC)
Ch. 5: QTL mapping of molecular traits for studies of human complex diseases
Ch. 6: Renewed interest in haplotype: from genetic marker to gene prediction
Ch. 7: Analytical approaches for exome sequence data
Ch. 8: Rare variants analysis in unrelated individuals
Ch. 9: Gene duplication and functional consequences
Ch. 10: From GWAS to next-generation sequencing on human complex diseases: the implications for translational medicine and therapeutics.