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: Theoretical and Applied Aspects of Systems Biology
  name:
    name part: Alves Barbosa da Silva, Fabricio
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Carels, Nicolas
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Paes Silva Junior, Floriano
    role:
      role term: editor.
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2018
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XVIII, 259 pages 42 illustrations, 26 illustrations in color) : online resource.
  abstract: Systems Biology is a rapidly expanding field and comprises the study of biological systems through mathematical modeling and the analysis of large volumes of biological data. This book presents the theoretical foundations of Systems Biology, as well as its application in studies on human hosts, pathogens and associated diseases. This book presents several chapters written by renowned experts in the field. Some topics discussed in depth in this book include: computational modeling of multidrug-resistant bacteria, systems biology of cancer, systems immunology, cellular reprogramming, bio-modeling using Petri nets, computational modeling of neuronal circuits, reconstruction and analysis of gene regulatory networks.
  table of contents: PART I - Fundamentals 1 Network Theory in Computational and Systems Biology: Concepts and Applications. Marcelo Ferreira da Costa Gomes, Bruna de Paula Fonseca e Fonseca, and Tatiana Martins Tilli -- 2 In Search of an Organizing Principle in Biology: Thermodynamic Functions and Cancer. Edward Rietman and Jack A. Tuszynski -- 3 Systems Immunology. Melissa Lever, Helder I Nakaya -- 4 Mathematics and Computation for Modelling Transcriptional Regulatory Networks. Marcelo Trindade dos Santos, Ana Paula Nascimento, Fabricio A. B. Silva -- 5 Bio-modeling using Petri nets: A computational approach. Rafael Viana de Carvalho and Fons J. Verbeek -- PART II - Applied Systems Biology 6 The challenge of translating system biology in precision medicine of cancer. Alessandra Conforde, Milena Magalhaes, Tatiana Tilli, Fabricio Alves, Nicolas Carels -- 7 Computational modeling of multiresistant bacteria. Fabricio A. B. Silva, Thiago Merigueti, Thiago Giannini, Rafaela Brum, Ana Paula Nascimento, Kele Belloze, Floriano Silva, Rodolpho Albano, Marcelo Trindade dos Santos, Maria Clicia Castro, Marcio Argollo and Ana Paula D'A. Carvalho-Assef -- 8 Analysis Methods for Shotgun Metagenomics. Stephen Woloszynek, Gail Rosen, Zhengqiao Zhao, Dhantha Gunarathna , Alexandru Cristian, Joshua Chang Mell, Joshua P. Earl, Jacob Price, Christopher Sales -- 9 ANOCVA: a non-parametric statistical test to compare clustering structures. Alexandre Galvao Patriota, Davi Augusto Caetano de Jesus, and Andre Fujita -- 10 A path from specific enzyme to metabolic pathway modeling to access target relevance in molecular inhibitor development. Larissa Catharina Costa, Nicolas Carels, Marcio Argollo de Menezes -- 11 Mathematical-Computational Modeling in the Behavior Study of Neuronal Circuits of Repetitive Discharges. Maria Clicia Stelling de Castro, Dilson Silva, Celia Martins Cortez -- Index. .
  note: edited by Fabricio Alves Barbosa da Silva, Nicolas Carels, Floriano Paes Silva Junior.
  note: Electronic resource.
  subject:
    topic: Bioinformatics
  subject:
    topic: Medical records
    topic: Data processing
  subject:
    topic: Oncology
  subject:
    topic: Cytology
  subject:
    topic: Computational Biology/Bioinformatics
  subject:
    topic: Bioinformatics
  subject:
    topic: Health Informatics
  subject:
    topic: Cancer Research
  subject:
    topic: Cell Biology
  classification: QH324.2-324.25
  classification: 570.285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Computational biology. 27
  identifier: 9783319749747
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 180621
    record change date: 20240730210927.4
    record identifier: in00003992294