Relationship Inference with Familias and R

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  • Author : Thore Egeland
  • Publisher : Academic Press
  • Pages : 256 pages
  • ISBN : 012802626X
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Relationship Inference with Familias and R

Download or Read online Relationship Inference with Familias and R full in PDF, ePub and kindle. this book written by Thore Egeland and published by Academic Press which was released on 24 December 2015 with total page 256 pages. We cannot guarantee that Relationship Inference with Familias and R book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Relationship Inference in Familias and R discusses the use of Familias and R software to understand genetic kinship of two or more DNA samples. This software is commonly used for forensic cases to establish paternity, identify victims or analyze genetic evidence at crime scenes when kinship is involved. The book explores utilizing Familias software and R packages for difficult situations including inbred families, mutations and missing data from degraded DNA. The book additionally addresses identification following mass disasters, familial searching, non-autosomal marker analysis and relationship inference using linked markers. The second part of the book focuses on more statistical issues such as estimation and uncertainty of model parameters. Although written for use with human DNA, the principles can be applied to non-human genetics for animal pedigrees and/or analysis of plants for agriculture purposes. The book contains necessary tools to evaluate any type of forensic case where kinship is an issue. This volume focuses on the core material and omits most general background material on probability, statistics and forensic genetics Each chapter includes exercises with available solutions The web page familias.name contains supporting material

Relationship Inference with Familias and R

Relationship Inference with Familias and R
  • Author : Thore Egeland,Daniel Kling,Petter Mostad
  • Publisher : Academic Press
  • Release : 24 December 2015
GET THIS BOOK Relationship Inference with Familias and R

Relationship Inference in Familias and R discusses the use of Familias and R software to understand genetic kinship of two or more DNA samples. This software is commonly used for forensic cases to establish paternity, identify victims or analyze genetic evidence at crime scenes when kinship is involved. The book explores utilizing Familias software and R packages for difficult situations including inbred families, mutations and missing data from degraded DNA. The book additionally addresses identification following mass disasters, familial searching,

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  • Author : Pankaj Shrivastava,Hirak Ranjan Dash,Jose A. Lorente,Jahangir Imam
  • Publisher : Springer Nature
  • Release : 11 December 2020
GET THIS BOOK Forensic DNA Typing Principles Applications and Advancements

The book explores the fundamental principles, advances in forensic techniques, and its application on forensic DNA analysis. The book is divided into three modules; the first module provides the historical prospect of forensic DNA typing and introduces fundamentals of forensic DNA typing, methodology, and technical advancements, application of STRs, and DNA databases for forensic DNA profile analysis. Module 2 examines the problems and challenges encountered in extracting DNA and generating DNA profiles. It provides information on the methods and the best

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  • Publisher : CRC Press
  • Release : 05 November 2020
GET THIS BOOK Handbook of Forensic Statistics

Handbook of Forensic Statistics is a collection of chapters by leading authorities in forensic statistics. Written for statisticians, scientists, and legal professionals having a broad range of statistical expertise, it summarizes and compares basic methods of statistical inference (frequentist, likelihoodist, and Bayesian) for trace and other evidence that links individuals to crimes, the modern history and key controversies in the field, and the psychological and legal aspects of such scientific evidence. Specific topics include uncertainty in measurements and conclusions; statistically

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  • Publisher : Academic Press
  • Release : 19 April 2021
GET THIS BOOK Mass Identifications

Mass Identifications: Statistical Methods in Forensic Genetics summarizes the state-of-the-art in the field, including methods and recent development in genetics (sequencing). The book's authors focus on practical applications and implementation, helping readers determine how to approach the problem to identify individuals using DNA and statistically summarize evidence. Written by leading experts in the field for forensic scientists, geneticists, forensic anthropologists, and pathologists working with identifications, the book is ideal for scientists and practitioners in many areas. Focuses on methods, challenges

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  • Author : John M. Butler
  • Publisher : Academic Press
  • Release : 28 July 2014
GET THIS BOOK Advanced Topics in Forensic DNA Typing Interpretation

Advanced Topics in Forensic DNA Typing: Interpretation builds upon the previous two editions of John Butler’s internationally acclaimed Forensic DNA Typing textbook with forensic DNA analysts as its primary audience. Intended as a third-edition companion to the Fundamentals of Forensic DNA Typing volume published in 2010 and Advanced Topics in Forensic DNA Typing: Methodology published in 2012, this book contains 16 chapters with 4 appendices providing up-to-date coverage of essential topics in this important field. Over 80 % of the content of this book is

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  • Author : Steven Beach,Jessica McDermott Sales
  • Publisher : Frontiers Media SA
  • Release : 11 April 2016
GET THIS BOOK Refining Prevention Genetic and Epigenetic Contributions

Currently, most prevention efforts are famed as universal interventions. However, despite the demonstrated efficacy of many prevention programs, variability in response is the rule with some participants responding very little and others accounting for the bulk of the positive impact of the program. Better understanding the processes associated with better and worse response to prevention is a critical first step in refining and adapting existing programs, or alternatively designing new prevention programs with enhanced outcomes. Because vulnerabilities to substance use,