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: Introduction to Computational Biology
    sub title: An Evolutionary Approach
  name:
    name part: Haubold, Bernhard.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Wiehe, Thomas.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: sz
    date issued: 2006
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 328 p. online resource.
  abstract: Molecular biology has changed dramatically over the past two decades. Until the early 1990s genes were studied one at a time by small teams of researchers; today entire genomes are sequenced by internationally collaborating laboratories. In the bygone gene-centered era the accumulation of data was the rate-limiting step in research. Now that step is often data interpretation. This is increasingly dependent on computational methods and as a consequence, computational biology has emerged in the past decade as a new subdiscipline of biology. This introduction to computational biology is centered on the analysis of molecular sequence data. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors. Introduction to Computational Biology is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists. Bernhard Haubold is associate professor at the University of Applied Sciences, Weihenstephan, Germany. Thomas Wiehe is associate professor at the University of Cologne, Germany.
  table of contents: Sequences in Space -- Optimal Pairwise Alignment -- Biological Sequences and the Exact String Matching Problem -- Fast Alignment: Genome Comparison and Database Searching -- Multiple Sequence Alignment -- Sequence Profiles and Hidden Markov Models -- Gene Prediction -- Sequences in Time -- Phylogeny -- Sequence Variation and Molecular Evolution -- Genes in Populations: Forward in Time -- Genes in Populations: Backward in Time -- Testing Evolutionary Hypotheses.
  note: by Bernhard Haubold, Thomas Wiehe.
  subject:
    topic: Life sciences
  subject:
    topic: Computers
  subject:
    topic: Bioinformatics
  subject:
    topic: Cell biology
  subject:
    topic: Evolutionary biology
  subject:
    topic: Biomathematics
  subject:
    topic: Life Sciences
  subject:
    topic: Life Sciences, general
  subject:
    topic: Theory of Computation
  subject:
    topic: Bioinformatics
  subject:
    topic: Evolutionary Biology
  subject:
    topic: Cell Biology
  subject:
    topic: Genetics and Population Dynamics
  classification: QH301-705
  classification: 570
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783764373870
  identifier: http://dx.doi.org/10.1007/3-7643-7387-3
  record info:
    record creation date: 100301
    record change date: 20151204175001.0
    record identifier: 978-3-7643-7387-0