eBook Systemic Approaches in Bioinformatics and Computational Systems Biology: Recent Advances, 1st Edition

  • Paola Lecca
  • Published By:
  • ISBN-10: 1613504365
  • ISBN-13: 9781613504369
  • DDC: 572.80285
  • Grade Level Range: College Freshman - College Senior
  • 471 Pages | eBook
  • Original Copyright 2012 | Published/Released November 2012
  • This publication's content originally published in print form: 2012
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About

Overview

The convergence of biology and computer science was initially motivated by the need to organize and process a growing number of biological observations resulting from rapid advances in experimental techniques. Today, however, close collaboration between biologists, biochemists, medical researchers, and computer scientists has also generated remarkable benefits for the field of computer science. 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

Front Cover.
Title Page.
Copyright Page.
Editorial Advisory Board.
List of Reviewers.
Table of Contents.
Detailed Table of Contents.
Foreword.
Foreword.
Preface.
Acknowledgment.
1: Section 1.
2: Unsupervised Data Analysis Methods Used in Qualitative and Quantitative Metabolomics and Metabonomics.
3: Data Analysis and Interpretation in Metabolomics.
4: Computational Sequence Design Techniques for DNA Microarray Technologies.
5: Promoter Structures Conserved between Homo Sapiens, Mus Musculus and Drosophila Melanogaster.
6: Recognition of Translation Initiation Sites in Arabidopsis Thaliana.
7: Section 2.
8: The Present and the Future Perspectives of Biological Network Inference.
9: Structural and Dynamical Heterogeneity in Ecological Networks.
10: The Role of Stochastic Simulations to Extend Food Web Analyses.
11: Process Algebra Models in Biology: The Case of Phagocytosis.
12: Intelligent Classifiers Fusion for Enhancing Recognition of Genes and Protein Pattern of Hereditary Diseases.
13: Connecting the Bench with the Bedside: Translating Life Science Discoveries to Disease Treatments and Vice Versa.
Compilation of References.
About the Contributors.
Index.