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: Sequence Comparison
    sub title: Theory and Methods
  name:
    name part: Chao, Kun-Mao.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Zhang, Louxin.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 209 p. online resource.
  abstract: Biomolecular sequence comparison is the origin of bioinformatics. Today, powerful sequence comparison methods, together with comprehensive biological databases, have changed the practice of molecular biology and genomics. This in-depth, state-of-the-art study of sequence alignment and homology search, covers the full spectrum of the field - from alignment methods to the theory of scoring matrices and alignment score statistics. Following a comprehensive introduction, this useful text/reference focuses on algorithms and techniques, as well as discusses the theory. This easy-to-follow text examines alignment methods and techniques, features a new issue of sequence comparison (the spaced-seed technique), addresses several new flexible strategies for coping with various scoring schemes, and covers the theory on the significance of high-scoring segment pairs between two unalignment sequences. Useful appendices are provided for basic concepts in molecular biology, primer in statistics and software for sequence alignment. The book is written for readers with little or no knowledge of biology, algorithms and probability. Features: • Presents a rigorous yet reader-friendly text on the algorithmic techniques and mathematical foundations of sequence alignment and homology search • Offers a tutorial to aid all levels of readers • Covers the basic algorithms and methods for sequence alignment • Introduces popular homology search programs • Familiarizes readers with multiple sequence alignment • Deals with the Karlin-Altschul statistics of optimal local alignment scores • Discusses substitution matrices • Provides end-of-chapter bibliographic notes and further reading suggestions that report related work and recent progresses Based on lectures given to students studying bioinformatics and mathematics, this state-of-the-art study of sequence alignment and homology search is an ideal resource and toolkit for undergraduates and will appeal to biologists who wish to know how to use h…
  table of contents: Algorithms and Techniques -- Basic Algorithmic Techniques -- Pairwise Sequence Alignment -- Homology Search Tools -- Multiple Sequence Alignment -- Theory -- Anatomy of Spaced Seeds -- Local Alignment Statistics -- Scoring Matrices.
  note: by Kun-Mao Chao, Louxin Zhang.
  subject:
    topic: Computer science
  subject:
    topic: Algorithms
  subject:
    topic: Computer graphics
  subject:
    topic: Bioinformatics
  subject:
    topic: Biochemistry
  subject:
    topic: Sequences (Mathematics)
  subject:
    topic: Computer Science
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Bioinformatics
  subject:
    topic: Biochemistry, general
  subject:
    topic: Sequences, Series, Summability
  subject:
    topic: Computer Imaging, Vision, Pattern Recognition and Graphics
  subject:
    topic: Algorithm Analysis and Problem Complexity
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Computational Biology, 7
  identifier: 9781848003200
  identifier: http://dx.doi.org/10.1007/978-1-84800-320-0
  record info:
    record creation date: 100301
    record change date: 20151204151449.0
    record identifier: 978-1-84800-320-0