rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Principles of Statistical Genomics
  name:
    name part: Xu, Shizhong.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 428 p. online resource.
  abstract: Statistical genomics is a rapidly developing field, with more and more people involved in this area. However, a lack of synthetic reference books and textbooks in statistical genomics has become a major hurdle to the development of the field. Although many books have been published recently in bioinformatics, most of them emphasize DNA sequence analysis under a deterministic approach. Principles of Statistical Genomics synthesizes the state-of-the-art statistical methodologies (stochastic approaches) applied to genome study. It facilitates understanding of the statistical models and methods behind the major bioinformatics software packages, which will help researchers choose the optimal algorithm to analyze their data and better interpret the results of their analyses. Understanding existing statistical models and algorithms assists researchers to develop improved statistical methods to extract maximum information from their data. Resourceful and easy to use, Principles of Statistical Genomics is a comprehensive reference for researchers and graduate students studying statistical genomics. .
  table of contents: Genetic Linkage Map -- Map Functions -- Physical map and genetic map -- Derivation of map functions -- Haldane map function -- Kosambi map function -- Recombination Fraction -- Mating designs -- Maximum likelihood estimation of recombination fraction -- Standard error and significance test -- Fisher’s scoring algorithm for estimating -- EM algorithm for estimating -- Genetic Map Construction -- Criteria of optimality -- Search algorithms -- Exhaustive search -- Heuristic search -- Simulated annealing -- Branch and bound -- Bootstrap confidence of a map -- Multipoint Analysis of Mendelian Loci -- Joint distribution of multiple locus genotype -- BC design -- F2 design -- Four-way cross design -- Incomplete genotype information -- Partially informative genotype -- BC and F2 are special cases of FW -- Dominance and missing markers -- Conditional probability of a missing marker genotype -- Joint estimation of recombination fractions -- Multipoint analysis for m markers -- Map construction with unknown recombination fractions -- Basic Concepts of Quantitative Genetics -- Gene frequency and genotype frequency -- Genetic effects and genetic variance -- Average effect of allelic substitution -- Genetic variance components -- Heritability -- An F2 family is in Hardy-Weinberg equilibrium -- Major Gene Detection -- Estimation of major gene effect -- BC design -- F2 design -- Hypothesis tests -- BC design -- F2 design -- Scale of the genotype indicator variable -- Statistical power -- Type I error and statistical power -- Wald-test statistic -- Size of a major gene -- Relationship between W-test and Z-test -- Extension to dominance effect -- Segregation Analysis -- Gaussian mixture distribution -- EM algorithm -- Closed form solution -- EM steps -- Derivation of the EM algorithm -- Proof of the EM algorithm -- Hypothesis tests -- Variances of estimated parameters -- Estimation of the mixing proportions -- Genome Scanning for Quantitative Trait Loci -- The mouse data -- Genome sc…
  note: by Shizhong Xu.
  subject:
    topic: Life sciences
  subject:
    topic: Plant genetics
  subject:
    topic: Animal genetics
  subject:
    topic: Life Sciences
  subject:
    topic: Plant Genetics & Genomics
  subject:
    topic: Animal Genetics and Genomics
  classification: QH433
  classification: 581.35
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387708072
  identifier: http://dx.doi.org/10.1007/978-0-387-70807-2
  record info:
    record creation date: 120913
    record change date: 20151125211244.0
    record identifier: 978-0-387-70807-2