Ebook: Applied Computational Genomics
- Tags: Human Genetics, Bioinformatics, Biotechnology
- Series: Translational Bioinformatics 1
- Year: 2012
- Publisher: Springer Netherlands
- Edition: 1
- Language: English
- pdf
"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.
"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.
"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:
Front Matter....Pages i-xii
Introduction....Pages 1-10
Concepts of Genetic Epidemiology....Pages 11-20
Integration of Linkage Analysis and Next-Generation Sequencing Data....Pages 21-34
From Family Study to Population Study: A History of Genetic Mapping for Nasopharyngeal Carcinoma (NPC)....Pages 35-60
QTL Mapping of Molecular Traits for Studies of Human Complex Diseases....Pages 61-82
Renewed Interest in Haplotype: From Genetic Marker to Gene Prediction....Pages 83-104
Analytical Approaches for Exome Sequence Data....Pages 105-120
Rare Variants Analysis in Unrelated Individuals....Pages 121-138
Gene Duplication and Functional Consequences....Pages 139-156
From GWAS to Next-Generation Sequencing on Human Complex Diseases: The Implications for Translational Medicine and Therapeutics....Pages 157-179
Back Matter....Pages 181-184
"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:
Front Matter....Pages i-xii
Introduction....Pages 1-10
Concepts of Genetic Epidemiology....Pages 11-20
Integration of Linkage Analysis and Next-Generation Sequencing Data....Pages 21-34
From Family Study to Population Study: A History of Genetic Mapping for Nasopharyngeal Carcinoma (NPC)....Pages 35-60
QTL Mapping of Molecular Traits for Studies of Human Complex Diseases....Pages 61-82
Renewed Interest in Haplotype: From Genetic Marker to Gene Prediction....Pages 83-104
Analytical Approaches for Exome Sequence Data....Pages 105-120
Rare Variants Analysis in Unrelated Individuals....Pages 121-138
Gene Duplication and Functional Consequences....Pages 139-156
From GWAS to Next-Generation Sequencing on Human Complex Diseases: The Implications for Translational Medicine and Therapeutics....Pages 157-179
Back Matter....Pages 181-184
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