University of Agricultural Sciences, Bangalore

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UNIVERSITY OF AGRICULTURAL SCIENCES

Systems biology and bioinformatics : a computational approach / Kayvan Najarian [and others].

Contributor(s): Najarian, Kayvan | Najarian, Siamak | Gharibzadeh, Shahriar | N.Eichelberger, ChristopherMaterial type: TextTextPublisher: Boca Raton : CRC Press, 2009Description: xxiii, 166 pages : illustrations ; 25 cmISBN: 9781420046502; 1420046500Subject(s): Bioinformatics | Systems biology | Computational biology | Computational Biology | Systems Biology | Bio-informatique | Biologie systemique | Bioinformatics | Computational biology | Systems biology | Mathematische Methode | Bioinformatik | Systembiologie | Bioinformatics | Systems biology | Computational biology | Bioinformatics | Computational Biology | Computational biology | Systems Biology | Systems biologyGenre/Form: Einfuhrung. | Einfuhrung.Additional physical formats: Online version:: Systems biology and bioinformatics.DDC classification: 574.0285 LOC classification: QH324.2 | .S972 2009Other classification: QU 26.5 Online resources: Table of contents | Table of contents
Contents:
Cell biology -- Bioassays -- Review of some computational methods -- Computational structural biology : protein structure prediction -- Computational structural biology : protein sequence analysis -- Genomics and proteomics -- Methods for identification of differentially expressed genes or proteins -- Binary and bayesian networks as static models of regulatory pathways -- Metabolic control theory for static modeling of metabolic pathways -- System identification and control theory for dynamic modeling of biological pathways -- Gene silencing for systems biology -- Simulation and systems biology -- Software, databases, and other resources for systems biology -- Future directions.
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Includes bibliographical references and index.

Cell biology -- Bioassays -- Review of some computational methods -- Computational structural biology : protein structure prediction -- Computational structural biology : protein sequence analysis -- Genomics and proteomics -- Methods for identification of differentially expressed genes or proteins -- Binary and bayesian networks as static models of regulatory pathways -- Metabolic control theory for static modeling of metabolic pathways -- System identification and control theory for dynamic modeling of biological pathways -- Gene silencing for systems biology -- Simulation and systems biology -- Software, databases, and other resources for systems biology -- Future directions.

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