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: Bioinformatics and the Cell
    sub title: Modern Computational Approaches in Genomics, Proteomics and Transcriptomics
  name:
    name part: Xia, Xuhua.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 350 p. online resource.
  abstract: "Xuhua Xia’s Bioinformatics and the Cell is a welcome addition to the bourgeoning field of bioinformatics text books. Xia stakes out a too-often neglected middle ground in bioinformatics by presenting a work that emphasizes methods’ biological utility without eschewing algorithmic formalism. Readers will find a well-rounded presentation of bioinformatics techniques employed in genomics, transcriptomics and proteomics – unified throughout by the common theme of molecular evolution." - I. King Jordan, School of Biology, Georgia Institute of Technology "Bioinformatics and the Cell is a remarkable book because it integrates the more technical and mathematical aspects of bioinformatics with concrete examples of their application to current research problems in molecular and cellular biology. I believe that this broad, unified approach is made possible, in large part, by the very wide scope of Dr. Xia’s own research experience. The integration of genomics, proteomics and transcriptomics into a single volume makes this book required reading for students entering the new and emerging field of Systems Biology. This is truly a path breaking book." - Donal Hickey, Concordia University, Montreal, Quebec, Canada Bioinformatics and the Cell is the first book with comprehensive numerical illustration of mathematical techniques and computational algorithms used in bioinformatics to convert the rapidly increasing molecular data into organized biological knowledge, with a focus on interactions among DNA, RNA and proteins in the cell. A sample of the illustrated algorithms includes: String matching algorithms with associated statistics Sequence alignment with the affine function and profile alignment for multiple sequence alignment Contig assembly algorithms Perceptrons Hidden Markov models Gibbs sampler Self-organizing map Algorithms in molecular phylogenetics EM algorithm for maximum likelihood calculation Monte Carlo integration and Markov chain Monte Carlo algorithms for Bayesian …
  table of contents: Blast and Fasta -- Sequence alignment -- Contig assembly -- DNA replication and viral evolution -- Gene and motif prediction -- Hidden Markov Models -- Gibbs Sampler -- Bioinformatics and vertebrate mitochondria -- Characterizing translation efficiency -- Protein isoelectric point -- Bioinformatics and Two-Dimensional Protein Separation -- Self-Organizing Map and other clustering Algorithms -- Molecular Phylogenetics -- Fundamentals of Proteomics.
  note: by Xuhua Xia.
  subject:
    topic: Life sciences
  subject:
    topic: Biochemistry
  subject:
    topic: Proteomics
  subject:
    topic: Bioinformatics
  subject:
    topic: Cell biology
  subject:
    topic: Evolutionary biology
  subject:
    topic: Life Sciences
  subject:
    topic: Bioinformatics
  subject:
    topic: Biochemistry, general
  subject:
    topic: Proteomics
  subject:
    topic: Cell Biology
  subject:
    topic: Evolutionary Biology
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  identifier: 9780387713373
  identifier: http://dx.doi.org/10.1007/978-0-387-71337-3
  record info:
    record creation date: 100301
    record change date: 20151204182201.0
    record identifier: 978-0-387-71337-3