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: Mathematical Modelling of Chromosome Replication and Replicative Stress
  name:
    name part: Karschau, Jens.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 76 p. 57 illus., 9 illus. in color. online resource.
  abstract: DNA replication is arguably the most crucial process at work in living cells. It is the mechanism by which organisms pass their genetic information from one generation to the next, and life on Earth would be unthinkable without it. Despite the discovery of DNA structure in the 1950s, the mechanism of its replication remains rather elusive. This work makes important contributions to this line of research. In particular, it addresses two key questions in the area of DNA replication: which evolutionary forces drive the positioning of replication origins in the chromosome; and how is the spatial organization of replication factories achieved inside the nucleus of a cell? A cross-disciplinary approach uniting physics and biology is at the heart of this research. Along with experimental support, statistical physics theory produces optimal origin positions and provides a model for replication fork assembly in yeast. Advances made here can potentially further our understanding of disease mechanisms such as the abnormal replication in cancer.
  table of contents: Introduction -- Optimal Origin Placement for Minimal Replication Time -- Actively Replicating Domains Randomly Associate into Replication Factories -- Summary and Conclusions.
  note: by Jens Karschau.
  subject:
    topic: Physics
  subject:
    topic: Genetic engineering
  subject:
    topic: Nucleic acids
  subject:
    topic: Biophysics
  subject:
    topic: Statistical physics
  subject:
    topic: Dynamical systems
  subject:
    topic: Physics
  subject:
    topic: Physics of the Cell
  subject:
    topic: Statistical Physics, Dynamical Systems and Complexity
  subject:
    topic: Nucleic Acid Chemistry
  subject:
    topic: Genetic Engineering
  subject:
    topic: Numerical and Computational Physics
  classification: QH505
  classification: 571.4
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Theses, Recognizing Outstanding Ph.D. Research
  identifier: 9783319088617
  identifier: http://dx.doi.org/10.1007/978-3-319-08861-7
  record info:
    record creation date: 140711
    record change date: 20151029221139.0
    record identifier: 978-3-319-08861-7