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: Genome-Wide Prediction and Analysis of Protein-Protein Functional Linkages in Bacteria
  name:
    name part: Muley, Vijaykumar Yogesh.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Acharya, Vishal.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 60 p. 19 illus., 12 illus. in color. online resource.
  abstract: Using genome sequencing, one can predict possible interactions among proteins. There are very few titles that focus on protein-protein interaction predictions in bacteria. The authors will describe these methods and further highlight its use to predict various biological pathways and complexity of the cellular response to various environmental conditions. Topics include analysis of complex genome-scale protein-protein interaction networks, effects of reference genome selection on prediction accuracy, and genome sequence templates to predict protein function.
  table of contents: Introduction -- From genomes to protein functions -- Co-evolutionary signals within genome sequences reflect functional dependence of proteins -- Chromosomal proximity of genes as an indicator of functional linkage -- Analyses of complex genome-scale biological networks -- Applications of protein interaction networks.
  note: by Vijaykumar Yogesh Muley, Vishal Acharya.
  subject:
    topic: Life sciences
  subject:
    topic: Human genetics
  subject:
    topic: Proteomics
  subject:
    topic: Bioinformatics
  subject:
    topic: Systems biology
  subject:
    topic: Life Sciences
  subject:
    topic: Systems Biology
  subject:
    topic: Bioinformatics
  subject:
    topic: Human Genetics
  subject:
    topic: Proteomics
  classification: QH301-705
  classification: 570
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Systems Biology, 2
  identifier: 9781461447054
  identifier: http://dx.doi.org/10.1007/978-1-4614-4705-4
  record info:
    record creation date: 120727
    record change date: 20151204172854.0
    record identifier: 978-1-4614-4705-4