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    Prediction of Protein–Protein Interactions: A Study of the Co-evolution Model

    The concept of molecular co-evolution drew attention in recent years as the basis for several algorithms for the prediction of protein–protein interactions. While being successful on specific data, the concept...

    Itai Sharon, Jason V. Davis, Golan Yona in Computational Systems Biology (2009)

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    Microfluidics Technology for Systems Biology Research

    Systems biology is a discipline seeking to understand the emergent behavior of a biological system by integrative modeling of the interactions of the molecular elements. The success of the approach relies on t...

    C. Joanne Wang, Andre Levchenko in Systems Biology (2009)

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    Model-Based Global Analysis of Heterogeneous Experimental Data Using gfit

    Regression analysis is indispensible for quantitative understanding of biological systems and for develo** accurate computational models. By applying regression analysis, one can validate models and quantify...

    Mikhail K. Levin, Manju M. Hingorani, Raquell M. Holmes, Smita S. Patel in Systems Biology (2009)

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    Prediction and Integration of Regulatory and Protein–Protein Interactions

    Knowledge of transcriptional regulatory interactions (TRIs) is essential for exploring functional genomics and systems biology in any organism. While several results from genome-wide analysis of transcriptiona...

    Duangdao Wichadakul, Jason McDermott, Ram Samudrala in Computational Systems Biology (2009)

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    Rapid Creation, Monte Carlo Simulation, and Visualization of Realistic 3D Cell Models

    Spatially realistic diffusion-reaction simulations supplement traditional experiments and provide testable hypotheses for complex physiological systems. To date, however, the creation of realistic 3D cell mode...

    Jacob Czech, Markus Dittrich, Joel R. Stiles in Systems Biology (2009)

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    BioLogic: A Mathematical Modeling Framework for Immunologists

    The immune response to pathogens is a result of complex interactions among many cell types and a large number of molecular processes. As such it poses numerous challenges for modeling, simulation, and analysis...

    Shlomo Ta’asan, Rima Gandlin in Systems Biology (2009)

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    Methods to Reconstruct and Compare Transcriptional Regulatory Networks

    The availability of completely sequenced genomes and the wealth of literature on gene regulation have enabled researchers to model the transcriptional regulation system of some organisms in the form of a netwo...

    M. Madan Babu, Benjamin Lang, L. Aravind in Computational Systems Biology (2009)

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    Processes Parallel Execution Using Grid Wizard Enterprise

    The field of high-performance computing (HPC) has provided a wide array of strategies for supplying additional computing power to the goal of reducing the total “clock time” required to complete various comput...

    Marco Ruiz in Biomedical Informatics (2009)

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    Systems Biology of Microbial Communities

    Microbes exist naturally in a wide range of environments in communities where their interactions are significant, spanning the extremes of high acidity and high temperature environments to soil and the ocean. ...

    Ali Navid, Cheol-Min Ghim, Andrew T. Fenley, Sooyeon Yoon, Sungmin Lee in Systems Biology (2009)

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    Enabling Public Data Sharing: Encouraging Scientific Discovery and Education

    To promote scientific discovery and education, the federated Biomedical Informatics Research Network (BIRN) Data Repository (BDR) supports data storage, sharing, querying, and downloading for the biomedical co...

    Christine Fennema-Notestine in Biomedical Informatics (2009)

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    Inferring Molecular Interactions Pathways from eQTL Data

    Analysis of expression quantitative trait loci (eQTL) helps elucidate the connection between genotype, gene expression levels, and phenotype. However, standard statistical genetics can only attribute the chang...

    Imran Rashid, Jason McDermott, Ram Samudrala in Computational Systems Biology (2009)

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    System Biology of Gene Regulation

    A famous joke story that exhibits the traditionally awkward alliance between theory and experiment and showing the differences between experimental biologists and theoretical modelers is when a University send...

    Michael Baitaluk in Biomedical Informatics (2009)

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    Exploring Pathways from Gene Co-expression to Network Dynamics

    One of the major challenges in post-genomic research is to understand how physiological and pathological phenotypes arise from the networks or connectivity of expressed genes. In addressing this issue, we have...

    Huai Li, Yu Sun, Ming Zhan in Computational Systems Biology (2009)

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    Methods of Information Geometry in Computational System Biology (Consistency between Chemical and Biological Evolution)

    Interest in simulation of large-scale metabolic networks, species development, and genesis of various diseases requires new simulation techniques to accommodate the high complexity of realistic biological netw...

    Vadim Astakhov in Biomedical Informatics (2009)

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    Kinetic Modeling of Biological Systems

    The dynamics of how the constituent components of a natural system interact defines the spatio-temporal response of the system to stimuli. Modeling the kinetics of the processes that represent a biophysical sy...

    Haluk Resat, Linda Petzold, Michel F. Pettigrew in Computational Systems Biology (2009)

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    Applications of Bioinformatics to Protein Structures: How Protein Structure and Bioinformatics Overlap

    In this chapter, we will focus on the role of bioinformatics to analyze a protein after its protein structure has been determined. First, we present how to validate protein structures for quality assurance. Th...

    Gye Won Han, Chris Rife, Michael R. Sawaya in Biomedical Informatics (2009)

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    A Maximum Likelihood Method for Reconstruction of the Evolution of Eukaryotic Gene Structure

    Spliceosomal introns are one of the principal distinctive features of eukaryotes. Nevertheless, different large-scale studies disagree about even the most basic features of their evolution. In order to come up...

    Liran Carmel, Igor B. Rogozin, Yuri I. Wolf in Computational Systems Biology (2009)

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    Effects of Functional Bias on Supervised Learning of a Gene Network Model

    Gene networks have proven to be an effective approach for modeling cellular systems, capable of capturing some of the extreme complexity of cells in a formal theoretical framework. Not surprisingly, this compl...

    Insuk Lee, Edward M. Marcotte in Computational Systems Biology (2009)

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    Using Evolutionary Information to Find Specificity-Determining and Co-evolving Residues

    Intricate networks of protein interactions rely on the ability of a protein to recognize its targets: other proteins, ligands, and sites on DNA and RNA. To recognize other molecules, it was suggested that a pr...

    Grigory Kolesov, Leonid A. Mirny in Computational Systems Biology (2009)

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    The Bioverse API and Web Application

    The Bioverse is a framework for creating, warehousing and presenting biological information based on hierarchical levels of organisation. The framework is guided by a deeper philosophy of desiring to represent...

    Michal Guerquin, Jason McDermott, Zach Frazier in Computational Systems Biology (2009)

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