Description
Taylor & Francis Ltd Systems Biology And Bioinformatics 2009 Edition by Kayvan Najarian
The availability of molecular imaging and measurement systems enables today's biologists to swiftly monitor thousands of genes involved in a host of diseases, a critical factor in specialized drug development. Systems Biology and Bioinformatics: A Computational Approach provides students with a comprehensive collection of the computational methods used in what is being coined the digital era of biology. Written by field experts with proven track records, this authoritative textbook first provides an introduction to systems biology and its impact on biology and medicine. The book then reviews the 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 text includes techniques to discover genes, perform nucleotide and amino acid sequence matching, and estimate static gene dynamic pathways. The book also explains how to use system-oriented models to predict the behavior of biological systems for important applications such as rational drug design. The numerous examples and problem sets allow students to confidently explore practical systems biology applications using real examples with real biological data, making Systems Biology and Bioinformatics: A Computational Approach an ideal text for senior undergraduate and first-year graduate students. Cell BiologyAn Introduction to Cell StructureProteins as Tools of the CellGenes: Directors of the CellCell CycleBioassaysSouthern BlottingFluorescent In Situ HybridizationSanger (Dideoxy) MethodPolymerase Chain ReactionAnalyzing Protein Structure and FunctionStudying Gene Expression and Function-DNA MicroarraysReview of Some Computational MethodsIntroduction to Probability and Stochastic Processes TheoriesBayesian TheoryTest of HypothesisExpectation Maximization MethodMaximum Likelihood TheorySystem Identification TheoryComputational Structural Biology: Protein Structure PredictionProtein Structure Prediction MethodsData ResourcesComputational Structural Biology: Protein Sequence AnalysisPairwise Sequence MatchingMultiple Sequence AlignmentGenomics and ProteomicsGenomicsProteomicsMethods for Identification of Differentially Expressed Genes or ProteinsWhy t Test Is Not Enough?Mixture Model MethodGenes Involved in Leukemia: A Case StudyBinary and Bayesian Networks as Static Models of Regulatory PathwaysBinary Regulator PathwaysBayesian Networks: AlgorithmApplications and Practical ConsiderationsMetabolic Control Theory for Static Modeling of Metabolic PathwaysBasic IdeasMain Concepts in Metabolic Control TheoryMason MethodMetabolic Control Model for Galactose Regulation Pathway: A Case StudySystem Identification and Control Theory for Dynamic Modeling of Biological PathwaysMethodologyModeling of Cell Cycle: A Case StudyGene Silencing for Systems BiologyA Brief Review of RNA Interference, Small Interfering RNA, and Gene Silencing MechanismsPathway Perturbation Using Gene SilencingSimulation and Systems BiologyWhat Is Simulation?Challenges to Effective SimulationCase StudiesSoftware, Databases, and Other Resources for Systems BiologyDatabasesScoring MatrixAnalysis SoftwareBioinformatics in MATLABFuture DirectionsSingle-Cell Microarray and Systems BiologyHigh-Throughput Protein Assays and Systems BiologyIntegration of Molecular Data with Higher-Level DatasetsIdentifying Genes Controlling Macrolevel ChangesMolecular-Level Image Systems and Systems BiologyIndex