Introduction to biological networks
- Ray, Animesh, 1954-
- Boca Raton : CRC Press, Taylor & Francis Group, 
- Copyright notice
- Physical description
- xiii, 321 pages : illustrations ; 25 cm.
- Chapman & Hall/CRC mathematical and computational biology series (Unnumbered)
QH323.5 .R38 2013
- Unknown QH323.5 .R38 2013
- Raval, Alpan, 1968-
- Includes bibliographical references (pages 295-312) and index.
- The Living Interactome Biological Function Depends on Context The Nature of Interactions Network as a Metaphor in Biology Metabolic Networks Robustness at the Network Level Experimental Inference of Interactions Direct versus Indirect Inference of Interactions Physical versus Genetic Interactions The Two-Hybrid Interaction Affinity Co-Purification DNA-Protein Interactions Classification and Interpretation of Genetic Interactions Inference of Genetic Interactions Prediction of Physical Interactions Entropy and Information Boolean Networks REVEAL Regulatory Interactions Variants of the REVEAL Method Dynamic Bayesian Networks Predicting Protein-Protein Interactions Data Integration to Improve Prediction Performance Metabolic Networks and Genetic Interactions Optimal Metabolic States and Flux Balance Analysis Minimization of Metabolic Adjustment and Gene Deletions Predicting Genetic Interactions among Metabolic Genes General Methods for Predicting Genetic Interactions Approaches for Integrated Prediction of Networks Testing Inferred Networks Co-Expression as a Test of Physical Interaction An Experimental Test of Predicted Protein-Protein Interactions Combining Protein Interactions Discovered by High-Throughput Experiments From Curated Protein-Protein Interactions to Protein Complexes Testing DNA-Protein Interactions Congruence of Biological Function among Interacting Partners Testing Genetic Interactions Structure-Based Tests of Interaction Small Model Networks Life Cycle of the Lambda Phage Interaction Network in the Lysis-Lysogeny Decision Recruitment of Proteins as a Theme in Regulatory Networks The Network of Cell Cycle Regulation Tractable Models of Large Networks Models of Regular Networks Random Network Models Evolving Networks by Preferential Attachment Evolving Networks Based on Gene Duplication Reconstruction of Ancient Networks from Modern Ones Large-Scale Biophysics-Inspired Models for Protein Interaction Networks Network Modularity and Robustness Modularity Implies Robustness in the Drosophila Segment Polarity Network Topological and Functional Aspects of Network Modularity Robustness Implications of Topology of Biological Networks Robustness and Network Dynamics Network Robustness by Rewiring Networks and Disease Disease Loci Identification and Mapping Network as a Paradigm for Linking Diseases and Disease Genes Network-Based Prediction of Disease Genes Network Analysis of Disease Mechanisms and Disease Response Network-Based Prediction of Disease Comorbidity Cancer and Synthetic Lethality.
- (source: Nielsen Book Data)
- Publisher's Summary
- The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network biology for physical scientists and biologists involved in interdisciplinary research. The book focuses on the concept of molecular and genetic interaction networks as a paradigm for interpreting the complexity of molecular biology at a genomic scale. The authors describe the experimental methods used to discover and test networks of interaction among biological molecules. They also present computational methods for predicting the interaction networks, discuss general mechanisms of network formation and evolution, and explore the application of network approaches to important problems in biology and medicine. With many examples throughout and clear explanations of key concepts, this book is the first to offer a broad treatment of genomics-inspired network biology with sufficient mathematical and biological rigor. It gives readers a conceptual understanding of this burgeoning scientific field.
(source: Nielsen Book Data)
- Publication date
- Copyright date
- Alpan Raval, Institute of Mathematical Sciences, Claremont Graduate University, Animesh Ray, School of Applied Life Sciences Keck Graduate Institute.
- Chapman & Hall/CRC mathematical & computational biology