Theoretical Aspects Of Pedigree Analysis

This volume contains the selected contributed papers of the BIOMAT 2010 International Symposium which has been organized as a joint conference with the 2010 Annual Meeting of the Society for Mathematical Biology (http: //www.smb.org) by invitation of the Director Board of this Society. The works presented at Tutorial and Plenary Sessions by expert keynote speakers have been also included. This book contains state-of-the-art articles on special research topics on mathematical biology, biological physics and mathematical modelling of biosystems; comprehensive reviews on interdisciplinary areas written by prominent leaders of scientific research groups. The treatment is both pedagogical and sufficiently advanced to enhance future scientific research

This volume contains the selected contributed papers of the BIOMAT 2010 International Symposium which has been organized as a joint conference with the 2010 Annual Meeting of the Society for Mathematical Biology (http://www.smb.org) by invitation of the Director Board of this Society. The works presented at Tutorial and Plenary Sessions by expert keynote speakers have been also included. This book contains state-of-the-art articles on special research topics on mathematical biology, biological physics and mathematical modelling of biosystems; comprehensive reviews on interdisciplinary areas written by prominent leaders of scientific research groups. The treatment is both pedagogical and sufficiently advanced to enhance future scientific research. Contents:MorphologyMolecular BiophysicsMathematical EpidemiologyPopulation DynamicsPopulation BiologyTheoretical ImmunologyComputational BiologyMathematical Aspects of BioprocessesPopulation GeneticsSystems Biology Readership: Mathematicians, biologists, physicists; graduate and undergraduate students interested in biomathematics. Keywords:Mathematical Biology;Biological Physics;Mathematical Modelling of Biosystems

Pedigree Analysis in R gives an introduction to the theory of relatedness and covers a range of applications in forensic and medical genetics. The book's material was developed through teaching courses on genetic relatedness, pedigree analysis and R, and offers insights from a decade of research activities in forensic and medical genetics. The R code in the book uses the ped suite, a unified collection of packages for pedigree analysis, developed by the author. All code examples are given in full, allowing accurate reproduction of figures and results. At the end of each chapter, a selection of exercises encourages the reader to explore further and perform their own analyses. Introduction to the theory of genetic relatedness, richly illustrated with classic and novel examples In-depth case studies including kinship testing, pedigree reconstruction, linkage analysis and clinical segregation analysis Easy-to-follow R code with explanations Based on the ped suite packages for pedigree analysis in R Suitable for R users at all levels, including complete beginners Exercises after each chapter

Pedigree Analysis in R gives an introduction to the theory of relatedness and covers a range of applications in forensic and medical genetics. The book's material was developed through teaching courses on genetic relatedness, pedigree analysis and R, and offers insights from a decade of research activities in forensic and medical genetics. The R code in the book uses the ped suite, a unified collection of packages for pedigree analysis, developed by the author. All code examples are given in full, allowing accurate reproduction of figures and results. At the end of each chapter, a selection of exercises encourages the reader to explore further and perform their own analyses. Introduction to the theory of genetic relatedness, richly illustrated with classic and novel examples In-depth case studies including kinship testing, pedigree reconstruction, linkage analysis and clinical segregation analysis Easy-to-follow R code with explanations Based on the ped suite packages for pedigree analysis in R Suitable for R users at all levels, including complete beginners Exercises after each chapter