Algebraic and Combinatorial Computational Biology
eBook - ePub

Algebraic and Combinatorial Computational Biology

  1. 434 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Algebraic and Combinatorial Computational Biology

About this book

Algebraic and Combinatorial Computational Biology introduces students and researchers to a panorama of powerful and current methods for mathematical problem-solving in modern computational biology. Presented in a modular format, each topic introduces the biological foundations of the field, covers specialized mathematical theory, and concludes by highlighting connections with ongoing research, particularly open questions. The work addresses problems from gene regulation, neuroscience, phylogenetics, molecular networks, assembly and folding of biomolecular structures, and the use of clustering methods in biology. A number of these chapters are surveys of new topics that have not been previously compiled into one unified source. These topics were selected because they highlight the use of technique from algebra and combinatorics that are becoming mainstream in the life sciences.- Integrates a comprehensive selection of tools from computational biology into educational or research programs- Emphasizes practical problem-solving through multiple exercises, projects and spinoff computational simulations- Contains scalable material for use in undergraduate and graduate-level classes and research projects- Introduces the reader to freely-available professional software- Supported by illustrative datasets and adaptable computer code

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Yes, you can access Algebraic and Combinatorial Computational Biology by Raina Robeva,Matthew Macauley in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2018
Print ISBN
9780128140666
eBook ISBN
9780128140697
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Preface
  7. Chapter 1: Multiscale Graph-Theoretic Modeling of Biomolecular Structures
  8. Chapter 2: Tile-Based DNA Nanostructures: Mathematical Design and Problem Encoding
  9. Chapter 3: Graphs Associated With DNA Rearrangements and Their Polynomials
  10. Chapter 4: The Regulation of Gene Expression by Operons and the Local Modeling Framework
  11. Chapter 5: Modeling the Stochastic Nature of Gene Regulation With Boolean Networks
  12. Chapter 6: Inferring Interactions in Molecular Networks via Primary Decompositions of Monomial Ideals
  13. Chapter 7: Analysis of Combinatorial Neural Codes: An Algebraic Approach
  14. Chapter 8: Predicting Neural Network Dynamics via Graphical Analysis
  15. Chapter 9: Multistationarity in Biochemical Networks: Results, Analysis, and Examples
  16. Chapter 10: The Minimum Evolution Problem in Phylogenetics: Polytopes, Linear Programming, and Interpretation
  17. Chapter 11: Data Clustering and Self-Organizing Maps in Biology
  18. Chapter 12: Toward Revealing Protein Function: Identifying Biologically Relevant Clusters With Graph Spectral Methods
  19. Index