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: Theory and Mathematical Methods for Bioinformatics
  name:
    name part: Shen, Shiyi.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Tuszynski, Jack A.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 445 p. 47 illus. online resource.
  abstract: This monograph addresses, in a systematic and pedagogical manner, the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics. The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory. Among the methods presented in the book, prominent attention is given to pair-wise and multiple sequence alignment algorithms, stochastic models of mutations, modulus structure theory and protein configuration analysis. Strong links to the molecular structures of proteins, DNA and other biomolecules and their analyses are developed. In particular, for proteins an in-depth exposition of secondary structure prediction methods should be a valuable tool in both molecular biology and in applications to rational drug design. The book can also be used as a textbook and for this reason most of the chapters include exercises and problems at the level of a graduate program in bioinformatics.
  table of contents: Outline -- Outline -- Mutations and Alignments -- Stochastic Models of Mutations and Structural Analysis -- Modulus Structure Theory -- Super Pairwise Alignment -- Multiple Sequence Alignment -- Network Structures of Multiple Sequences Induced by Mutation -- Alignment Space -- Protein Configuration Analysis -- Background Information Concerning the Properties of Proteins -- Informational and Statistical Iterative Analysis of Protein Secondary Structure Prediction -- Three-Dimensional Structure Analysis of the Protein Backbone and Side Chains -- Alignment of Primary and Three-Dimensional Structures of Proteins -- Depth Analysis of Protein Spatial Structure -- Analysis of the Morphological Features of Protein Spatial Structure -- Semantic Analysis for Protein Primary Structure.
  note: by Shiyi Shen, Jack A. Tuszynski.
  subject:
    topic: Life sciences
  subject:
    topic: Human genetics
  subject:
    topic: Proteomics
  subject:
    topic: Bioinformatics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Biomathematics
  subject:
    topic: Life Sciences
  subject:
    topic: Life Sciences, general
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Bioinformatics
  subject:
    topic: Proteomics
  subject:
    topic: Genetics and Population Dynamics
  subject:
    topic: Human Genetics
  classification: QH301-705
  classification: 570
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Biological and Medical Physics, Biomedical Engineering
  identifier: 9783540748915
  identifier: http://dx.doi.org/10.1007/978-3-540-74891-5
  record info:
    record creation date: 100301
    record change date: 20151204161338.0
    record identifier: 978-3-540-74891-5