Computational Genetics And Genomics

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis.

This work provides an unique interdisciplinary overview of genomics and proteomics, addressing experts in the field as well as experimental researchers interested in the applications. Summarizing the results of recent research in this important and exciting area, in particular computational and experimental approaches to expression analysis, functional gene identification, functional aspects of higher order DNA-structure, the relationship between protein sequence, structure and function, and genetic and medical aspects of genomics, the book includes contributions from renowned international experts.

Introduction Basics Genetics of all organism Database BLAST Homology Phylogenetic analysis

The volume provides a 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 field of statistical genomics and will give a detailed introduction to the evolution of the field, as well as critical comments on the advantages and disadvantages of the proposed statistical models. The future directions of translational biology will also be described.

The volume provides a 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 field of statistical genomics and will give a detailed introduction to the evolution of the field, as well as critical comments on the advantages and disadvantages of the proposed statistical models. The future directions of translational biology will also be described.