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: Agricultural Bioinformatics
  name:
    name part: P.B., Kavi Kishor.
    role:
      role term: editor.
  name:
    name part: Bandopadhyay, Rajib.
    role:
      role term: editor.
  name:
    name part: Suravajhala, Prashanth.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ii
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 291 p. 58 illus., 45 illus. in color. online resource.
  abstract: A common approach to understanding the functional repertoire of a genome is through functional genomics. With systems biology burgeoning, bioinformatics has grown to a larger extent for plant genomes where several applications in the form of protein-protein interactions (PPI) are used to predict the function of proteins. With plant genes evolutionarily conserved, the science of bioinformatics in agriculture has caught interest with myriad of applications taken from bench side to in silico studies. A multitude of technologies in the form of gene analysis, biochemical pathways and molecular techniques have been exploited to an extent that they consume less time and have been cost-effective to use. As genomes are being sequenced, there is an increased amount of expression data being generated from time to time matching the need to link the expression profiles and phenotypic variation to the underlying genomic variation. This would allow us to identify candidate genes and understand the molecular basis/phenotypic variation of traits. While many bioinformatics methods like expression and whole genome sequence data of organisms in biological databases have been used in plants, we felt a common reference showcasing the reviews for such analysis is wanting. We envisage that this dearth would be facilitated in the form of this Springer book on Agricultural Bioinformatics. We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing. .
  table of contents: 1. Preface -- 2. Foreword -- 3.Association Mapping – A new Paradigm for Dissection of Complex traits in crops -- 4. The silent Assassins – Informatics of plant Viral Silencing Suppressors.5. Tackling the Heat Stress Tolerance in crop Plants: a Bioinformatics Approach -- 6. Comparative Genomics of Cereal Crops: Status and Future Prospects -- 7. A Comprehensive Overview on Application of Bioinformatics and Computational Statistics in Rice Genomics Towards an Amalgamated Approach for Improving Acquaintance Base -- 8. Contribution of Bioinformatics to Gene Discovery in Salt Stress Responses in Plants -- 9. Peanut Bioinformatics: Tools and Applications for Developing more Effective Immunotherapies for Peanut Allergy and Improving Food Safety -- 10. Plant MicroRNAs - An Overview -- 11. ESTs in plants: Where are we heading? -- 12. Bioinformatics Strategies Associated with Important Ethnic Medicinal Plants -- 13. Mining Knowledge from Omics Data -- 14. Cloud Computing in Agriculture -- 15. Bioinformatic Tools in the Analysis of Determinants of Pathogenicity and Ecology of Entomopathogenic Fungi used as Microbial Insecticides in Crop Protection -- 16. Exploring the Genomes of Symbiotic Diazotrophs with Relevance to Biological Nitrogen Fixation -- 17. Plant-Microbial Interaction: A Dialogue between two Dynamic Bioentities -- 18. Machine Learning with Special Emphasis on Support Vector Machines (SVMs) in Systems Biology: A Plant Perspective -- 19. Xanthine Derivatives: A molecular Modeling perspective. .
  note: edited by Kavi Kishor P.B., Rajib Bandopadhyay, Prashanth Suravajhala.
  subject:
    topic: Life sciences
  subject:
    topic: Agriculture
  subject:
    topic: Proteomics
  subject:
    topic: Proteins
  subject:
    topic: Bioinformatics
  subject:
    topic: Systems biology
  subject:
    topic: Biostatistics
  subject:
    topic: Life Sciences
  subject:
    topic: Bioinformatics
  subject:
    topic: Agriculture
  subject:
    topic: Proteomics
  subject:
    topic: Systems Biology
  subject:
    topic: Protein Science
  subject:
    topic: Biostatistics
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  identifier: 9788132218807
  identifier: http://dx.doi.org/10.1007/978-81-322-1880-7
  record info:
    record creation date: 140714
    record change date: 20151204185432.0
    record identifier: 978-81-322-1880-7