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Thursday, May 7, 2020 | History

4 edition of Statistical Inference from Genetic Data on Pedigrees (Nsf-Cbms Conference Series in Probability & Statistics Volume 6) found in the catalog.

Statistical Inference from Genetic Data on Pedigrees (Nsf-Cbms Conference Series in Probability & Statistics Volume 6)

by Elizabeth A. Thompson

  • 325 Want to read
  • 24 Currently reading

Published by Inst of Mathematical Statistic .
Written in English

    Subjects:
  • Genealogy,
  • Genetics,
  • Statistical methods,
  • Reference

  • The Physical Object
    FormatPaperback
    Number of Pages169
    ID Numbers
    Open LibraryOL11538583M
    ISBN 100940600498
    ISBN 109780940600492

    Search tips. Exact phrase search: Use quotes, e.g. "integral equations" Book Three-dimensional Orbifolds and Cone-Manifolds () Statistical Inference From Genetic Data on Pedigrees () Thompson, Elizabeth A. Book Game theory, optimal stopping, probability and statistics ().   Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for.

    Lin S & Zhao H () Handbook on analyzing human genetic data Ott J () Analysis of human genetics linkage Thompson EA () Statistical inference from genetic data on pedigrees Weir BS () Genetic Data Analysis 3 Balding D, Bishop M, Cannings C () Handbook of Statistical Genetics, 3rd Edition. The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis. As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5.

    When we recently looked into Mendel’s pea data and performed a chi-square test, we had to conclude the the chi-square value was too small not to reject the null-hypothesis. this would mean that Mendel’s reported data were so close to what he expected that we could only conclude that he had somewhat fudged the data (Table 1). Statistical Methods for Estimating Pedigrees and Demographic Parameters Using Genetic Markers by develop methods for analyzing genetic markers to estimate the pedigrees of close relatives and the mating parameters, such as the e ective population size, that govern the population. The data were simulated with msprime and the likelihoods.


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Statistical Inference from Genetic Data on Pedigrees (Nsf-Cbms Conference Series in Probability & Statistics Volume 6) by Elizabeth A. Thompson Download PDF EPUB FB2

Statistical Inference from Genetic Data on Pedigrees This monograph is based primarily on material presented at the CBMS Summer Course on Inferences from genetic data on pedigrees given at Michigan Technical University, Houghton, Michigan, in July Pages: Language: English.

Publisher: Institute of Mathematical Statistics and. Get this from a library. Statistical inference from genetic data on pedigrees. [E A Thompson]. Statistical inference from genetic data on pedigrees.

Beachwood, Ohio: Institute of Mathematical Statistics ; Alexandria, Va.: American Statistical Association, © (DLC) (OCoLC) Material Type: Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: E A Thompson.

: Statistical Inference from Genetic Data on Pedigrees (Nsf-Cbms Conference Series in Probability & Statistics Volume 6) (V 6) (): Thompson, Elizabeth A.: BooksAuthor: Elizabeth A. Thompson. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis.

As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies.

Statistical Genetics of Quantitative Traits. The book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of DNA-based marker and phenotypic data that arise in agriculture, forrestry, experimental biology, and other concentrates on the linkage analysis of markers, map construction and quantitative trait locus (QTL) mapping and assumes a.

The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references.

It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. Statistical Inference from Genetic Data on Pedigrees (Nsf-Cbms Conference Series in Probability & Statistics Volume 6) (V 6) by Elizabeth A.

Thompson and a great selection of related books, art and collectibles available now at Statistical Inference from Genetic Data on Pedigrees. Michigan Technological University, Houghton, MI July 19 ­ 23, Principal Lecturer. Elizabeth A.

Thompson University of Washington. 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 cturer: Academic Press. Citation Elizabeth A. Thompson, Statistical Inference From Genetic Data on Pedigrees (Beachwood OH: Institute of Mathematical Sciences; Alexandria VA: American Statistical Association, ) Select/deselect all.

A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field.

It introduces new and updated information on developments that have occurred since the 3rd edition. 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 book gives a rigorous treatment of the elementary concepts in statistical inference from a classical frequentist perspective. After reading this book and performing the exercises, the student will understand the basics of hypothesis testing, confidence intervals and probability.

Linkage, Maps and QTL. Author: Rongling Wu,Changxing Ma,George Casella; Publisher: Springer Science & Business Media ISBN: X Category: Science Page: View: DOWNLOAD NOW» This book introduces the basic concepts and methods that are useful in the statistical analysis and modeling of the DNA-based marker and phenotypic data that arise in agriculture, forestry.

Statistical genetic analysis of quantitative traits in large pedigrees is a formidable computational task due to the necessity of taking the nonindependence among relatives into account.

With the growing awareness that rare sequence variants may be important in human quantitative variation, heritability and association study designs involving. In particular the modeling of genetic networks has advanced considerably via the evolution of microarray analysis.

As a consequence the 3rd edition of the handbook contains a much expanded section on Network Modeling, including 5 new chapters covering metabolic networks, graphical modeling and inference and simulation of pedigrees and genealogies. Genetic data are now widely available. There is, however, an apparent lack of concerted effort to produce software systems for statistical analysis of genetic data compared with other fields of statistics.

It is often a tremendous task for end-users to. The data were pedigrees of chinchillas, males and females, born in – and also information about litters, born in –, from chinchilla dams. A comprehensive introduction to modern applied statistical genetic data analysis, accessible to those without a background in molecular biology or genetics.

Human genetic research is now relevant beyond biology, epidemiology, and the medical sciences, with applications in such fields as psychology, psychiatry, statistics, demography, sociology, and economics.Statistical Inferences from Genetic Data on Pedigrees. ISBN This monograph is based on lectures presented at a CBMS Summer Research Conference.

It develops the probability models for genetic data on related individuals, from the meiosis level to data on extended pedigrees.A multilocus genotype is the combination of alleles found at two or more loci in a single individual.

For example, in a diploid species, if there are two SNP loci and the first locus has alleles A and G, while the second locus has alleles T and C, the multilocus genotype can be represented as {A/G,T/C}. If the genome is not haploid then the multilocus genotype does not necessarily determine.