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: Computational Cell Biology
  name:
    name part: Fall, Christopher P.
    role:
      role term: editor.
  name:
    name part: Marland, Eric S.
    role:
      role term: editor.
  name:
    name part: Wagner, John M.
    role:
      role term: editor.
  name:
    name part: Tyson, John J.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 468 p. online resource.
  abstract: This textbook provides an introduction to dynamic modeling in cell biology, emphasizing computational approaches based on realistic molecular mechanisms. It is designed to introduce cell biology and neuroscience students to computational modeling, and applied mathematics students, theoretical biologists, and engineers to many of the problems in dynamical cell biology. This volume was conceived of and begun by Professor Joel Keizer based on his many years of teaching and research together with his colleagues. The project was expanded and finished by his students and friends after his untimely death in 1999. Carefully selected examples are used to motivate the concepts and techniques of computational cell biology, through a progression of increasingly more complex and demanding cases. Illustrative exercises are included with every chapter, and mathematical and computational appendices are provided for reference. This textbook will be useful for advanced undergraduate and graduate theoretical biologists, and for mathematic students and life scientists who wish to learn about modeling in cell biology. "What better tribute to the late Joel Keizer than to expand his unfinished accounts of teaching and research to a splendid book. Computational Cell Biology performs much more than it promises, for it also deals with considerable analytical material and with aspects of molecular biology. There's something for everybody interested in how modeling leads to greater understanding in the core of the biological sciences." -Lee Segel (Weizmann Institute).
  table of contents: Introductory Course -- Dynamic Phenomena in Cells -- Voltage Gated Ionic Currents -- Transporters and Pumps -- Fast and Slow Time Scales -- Whole—Cell Models -- Intercellular Communication -- Advanced Material -- Spatial Modeling -- Modeling Intracellular Calcium Waves and Sparks -- Biochemical Oscillations -- Cell Cycle Controls -- Modeling the Stochastic Gating of Ion Channels -- Molecular Motors: Theory -- Molecular Motors: Examples.
  note: edited by Christopher P. Fall, Eric S. Marland, John M. Wagner, John J. Tyson.
  subject:
    topic: Life sciences
  subject:
    topic: Cell biology
  subject:
    topic: Neurobiology
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Biomathematics
  subject:
    topic: Biophysics
  subject:
    topic: Biological physics
  subject:
    topic: Life Sciences
  subject:
    topic: Cell Biology
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Neurobiology
  subject:
    topic: Biophysics and Biological Physics
  classification: QH573-671
  classification: 571.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Interdisciplinary Applied Mathematics, 20
  identifier: 9780387224596
  identifier: http://dx.doi.org/10.1007/b97701
  record info:
    record creation date: 100301
    record change date: 20151204165649.0
    record identifier: 978-0-387-22459-6