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Systemic Approaches in Bioinformatics and Computational Systems Biology

Book Description

Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances presents new techniques that have resulted from the application of computer science methods to the organization and interpretation of biological data. The book covers three subject areas: bioinformatics, computational biology, and computational systems biology. It focuses on recent, systemic approaches in computer science and mathematics that have been used to model, simulate, and more generally, experiment with biological phenomena at any scale.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  5. Foreword
  6. Foreword
  7. Preface
  8. Acknowledgment
  9. Section 1:
    1. Chapter 1: Unsupervised Data Analysis Methods used in Qualitative and Quantitative Metabolomics and Metabonomics
      1. Abstract
      2. INTRODUCTION
      3. LITERATURE AND METHODOLOGY OVERVIEW
      4. UNSUPERVISED METHODS TESTING AND COMPARISON
      5. FUTURE RESEARCH DIRECTIONS AND CONCLUSION
    2. Chapter 2: Data Analysis and Interpretation in Metabolomics
      1. Abstract
      2. 1. INTRODUCTION
      3. 2: DATA ANALYSIS AND INTERPRETATION
      4. FUTURE DIRECTIONS
      5. CONCLUDING REMARKS
      6. List of Abbreviations
    3. Chapter 3: Computational Sequence Design Techniques for DNA Microarray Technologies
      1. Abstract
      2. INTRODUCTION
      3. RELATED WORK
      4. DNA SEQUENCE DESIGN: PROBLEM DESCRIPTION
      5. STATE OF THE ART OF HEURISTIC ALGORITHMS
      6. COMPUTATIONAL EXPERIMENTS
      7. RESULTS
      8. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
    4. Chapter 4: Promoter Structures Conserved between Homo Sapiens, Mus Musculus and Drosophila Melanogaster
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. METHODOLOGY
      5. RESULTS
      6. CONCLUSION
    5. Chapter 5: Recognition of Translation Initiation Sites in Arabidopsis Thaliana
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. MATERIALS AND METHODS
      5. FEATURE GENERATION
      6. FEATURE SELECTION
      7. MAIN CLASSIFIER
      8. RESULTS
      9. CONCLUSION
  10. Section 2:
    1. Chapter 6: The Present and the Future Perspectives of Biological Network Inference
      1. Abstract
      2. 1. NETWORK INFERENCE: GOALS AND METHODOLOGICAL APPROACHES
      3. 2. PARAMETER INFERENCE
      4. 3. CONCLUSION
    2. Chapter 7: Structural and Dynamical Heterogeneity in Ecological Networks
      1. Abstract
      2. INTRODUCTION
      3. A SYSTEMS VIEW ON VARIABILITY: COMPUTATIONAL CHALLENGES
      4. QUANTIFYING STRUCTURAL AND DYNAMICAL DIVERSITY IN ECOSYSTEMS
      5. Solutions and Recommendations
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    3. Chapter 8: The Role of Stochastic Simulations to Extend Food Web Analyses
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. STRUCTURE AND DYNAMICS IN FOOD WEB MODELS
      5. CONCLUSION
      6. FUTURE RESEARCH DIRECTIONS
    4. Chapter 9: Process Algebra Models in Biology
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. PROCESS ALGEBRA MODELS IN BIOLOGY
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    5. Chapter 10: Intelligent Classifiers Fusion for Enhancing Recognition of Genes and Protein Pattern of Hereditary Diseases
      1. ABSTRACT
      2. INTRODUCTION
      3. EXISTING WORKS
      4. REVIEW ON EXISTING CLASSIFIERS
      5. EVALUATION OF FUSION MODEL
      6. CONCLUDING REMARKS
    6. Chapter 11: Connecting the Bench with the Bedside
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. CONNECTING INFORMATION SILOS AND PEOPLE SILOS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
  11. Compilation of References
  12. About the Contributors
  13. Index