Emphasizing computational methods, Systems Biology and Bioinformatics provides an introduction to systems biology and its impact on biology and medicine. It reviews basic principles of molecular and cell biology using a system-oriented approach, with a brief description of the high-throughput biological experiments that produce databases. The methods presented include techniques to discover genes, perform nucleotide and amino acid sequence matching, and estimate static gene dynamic pathways. It also explains applications for system-oriented models to predict the behavior of biological systems.
Emphasizing computational methods, Systems Biology and Bioinformatics provides an introduction to systems biology and its impact on biology and medicine. It reviews basic principles of molecular and cell biology using a system-oriented approach, with a brief description of the high-throughput biological experiments that produce databases. The methods presented include techniques to discover genes, perform nucleotide and amino acid sequence matching, and estimate static gene dynamic pathways. It also explains applications for system-oriented models to predict the behavior of biological systems.
Kayvan Najarian, Siamak Najarian, Shahriar Gharibzadeh, Christopher N. Eichelberger
Inhaltsangabe
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. 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. Index.
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