Book description
Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems.
The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge.
The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications.
- Explores all the latest advances in this fast-developing field from an applied perspective
- Provides the only coherent and comprehensive treatment of the subject available
- Covers the algorithm development, software design, and database applications that have been developed to foster research
Table of contents
- Cover image
- Title page
- Table of Contents
- Copyright
- List of Contributors
- Preface
- Introduction
- Acknowledgments
-
Section I: Computational Biology - Methodologies and Algorithms
- Chapter 1: Using Methylation Patterns for Reconstructing Cell Division Dynamics: Assessing Validation Experiments
- Chapter 2: A Directional Cellular Dynamic Under the Control of a Diffusing Energy for Tissue Morphogenesis: Phenotype and Genotype
- Chapter 3: A Feature Learning Framework for Histology Images Classification
- Chapter 4: Spontaneous Activity Characterization in Spiking Neural Systems With Log-Normal Synaptic Weight Distribution
- Chapter 5: Comparison Between OpenMP and MPICH Optimized Parallel Implementations of a Cellular Automaton That Simulates the Skin Pigmentation Evolution
-
Section II: Bioinformatics, Simulation, Data Mining, Pattern Discovery, and Prediction Methods
- Chapter 6: Structure Calculation of α, α/β, β Proteins From Residual Dipolar Coupling Data Using REDCRAFT
- Chapter 7: Architectural Topography of the α-Subunit Cytoplasmic Loop in the GABAA Receptor
- Chapter 8: Finding Long-Term Influence and Sensitivity of Genes Using Probabilistic Genetic Regulatory Networks
-
Chapter 9: The Application of Grammar Space Entropy in RNA Secondary Structure Modeling
- Abstract
- Acknowledgments
- 9.1 Introduction
- 9.2 A Shannon Entropy for the SCFG Space
- 9.3 GS Entropy of RNA Folding Models
- 9.4 The Typical Set Criterion
- 9.5 Discussion and Conclusions
- Appendix A Calculating Sum of Probabilities of Derivations in an SCFG
- Appendix B Computing GS Entropy of an SCFG
- Appendix C An Example of Calculating the GS Entropy
- Appendix D GS Entropy of the Basic Grammar
- Chapter 10: Effects of Excessive Water Intake on Body-Fluid Homeostasis and the Cardiovascular System — A Computer Simulation
- Chapter 11: A DNA-Based Migration Modeling of the Lizards in Florida Scrub Habitat
- Chapter 12: Reconstruction of Gene Regulatory Networks Using Principal Component Analysis
- Chapter 13: nD-PDPA: n-Dimensional Probability Density Profile Analysis
- Chapter 14: Biomembranes Under Oxidative Stress: Insights From Molecular Dynamics Simulations
- Chapter 15: Feature Selection and Classification of Microarray Data Using Machine Learning Techniques
- Chapter 16: New Directions in Deterministic Metabolism Modeling of Sheep
- Chapter 17: Differentiating Cancer From Normal Protein-Protein Interactions Through Network Analysis
- Chapter 18: Predicting the Co-Receptors of the Viruses That Cause AIDS (HIV-1) in CD4 Cells
- Section III: Systems Biology and Biological Processes
- Section IV: Data Analytics and Numerical Modeling in Computational Biology and Bioinformatics
-
Section V: Medical Applications and Systems
- Chapter 24: Analyzing TCGA Lung Cancer Genomic and Expression Data Using SVM With Embedded Parameter Tuning
- Chapter 25: State-of-the-Art Mock Human Blood Circulation Loop: Prototyping and Introduction of a New Heart Simulator
- Chapter 26: Framework for an Interactive Assistance in Diagnostic Processes Based on Probabilistic Modeling of Clinical Practice Guidelines
- Chapter 27: Motion Artifacts Compensation in DCE-MRI Framework Using Active Contour Model
- Chapter 28: Phase III Placebo-Controlled, Randomized Clinical Trial With Synthetic Crohn's Disease Patients to Evaluate Treatment Response
-
Chapter 29: Pathological Tissue Permittivity Distribution Difference Imaging: Near-Field Microwave Tomographic Image for Breast Tumor Visualization
- Abstract
- Acknowledgment
- 29.1 Introduction
- 29.2 The Signals of BRATUMASS
- 29.3 Fourier Diffraction Theorem
- 29.4 Tissue Dielectric Properties and Reflection Coefficient
- 29.5 Quarter of Iteration of Fractional Fourier Transformation Algorithm and the Signal Processing
- 29.6 Microwave Image of Sagittal Iterative Reconstruction Algorithm
- 29.7 BRATUMASS Clinical Trials
- 29.8 Conclusions
- Chapter 30: A System for the Analysis of EEG Data and Brain State Modeling
- Chapter 31: Using Temporal Logic to Verify the Blood Supply Chain Safety
- Chapter 32: Evaluation of Window Parameters of CT Brain Images With Statistical Central Moments
- Chapter 33: An Improved Balloon Snake Algorithm for Ultrasonic Image Segmentation
- Chapter 34: Brain Ventricle Detection Using Hausdorff Distance
- Chapter 35: Tumor Growth Emergent Behavior Analysis Based on Cancer Hallmarks and in a Cancer Stem Cell Context
- Index
Product information
- Title: Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology
- Author(s):
- Release date: March 2016
- Publisher(s): Morgan Kaufmann
- ISBN: 9780128042595
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