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 Genome Analysis
    sub title: An Introduction
  name:
    name part: Deonier, Richard C.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Waterman, Michael S.
    role:
      role term: author.
  name:
    name part: Tavaré, Simon.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 535 p. online resource.
  abstract: Computational Genome Analysis: An Introduction presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field. This book features:Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation. Presentation of fundamentals of probability, statistics, and algorithms. Implementation of computational methods with numerous examples based upon the R statistics package. Extensive descriptions and explanations to complement the analytical development. More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature. Exercises at the end of chapters. Richard C. Deonier is Professor Emeritus in the Molecular and Computational Biology Section of the Department of Biological Sciences at the University of Southern California. Originally trained as a physical biochemist, His major research has been in areas of molecular genetics, with particular interests in physical methods for gene mapping, bacterial transposable elements, and conjugative plasmids. During 30 years of active teaching, he has taught chemistry, biology, and computational biology at both the undergraduate and graduate levels. Simon Tavaré holds the George and Louise Kawamoto Chair in Biological Sciences and is a Professor of Biological Sciences, Mathematics, and Preventive Medicine at the University of Southern California. Professor Tavaré's research lies at the interface between statisti…
  table of contents: Biology in a Nutshell -- Words -- Word Distributions and Occurrences -- Physical Mapping of DNA -- Genome Rearrangements -- Sequence Alignment -- Rapid Alignment Methods: FASTA and BLAST -- DNA Sequence Assembly -- Signals in DNA -- Similarity, Distance, and Clustering -- Measuring Expression of Genome Information -- Inferring the Past: Phylogenetic Trees -- Genetic Variation in Populations -- Comparative Genomics.
  note: by Richard C. Deonier, Michael S. Waterman, Simon Tavaré.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical statistics
  subject:
    topic: Bioinformatics
  subject:
    topic: Biomathematics
  subject:
    topic: Statistics
  subject:
    topic: Computer Science
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Bioinformatics
  subject:
    topic: Genetics and Population Dynamics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  subject:
    topic: Probability and Statistics in Computer Science
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387288079
  identifier: http://dx.doi.org/10.1007/0-387-28807-4
  record info:
    record creation date: 100301
    record change date: 20151204172107.0
    record identifier: 978-0-387-28807-9