Cover for Algebraic and Combinatorial Computational Biology

Algebraic and Combinatorial Computational Biology

A volume in MSE/Mathematics in Science and Engineering

Book2019

Edited by:

Raina Robeva and Matthew Macauley

Algebraic and Combinatorial Computational Biology

A volume in MSE/Mathematics in Science and Engineering

Book2019

 

Cover for Algebraic and Combinatorial Computational Biology

Edited by:

Raina Robeva and Matthew Macauley

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Book description

Algebraic and Combinatorial Computational Biology introduces students and researchers to a panorama of powerful and current methods for mathematical problem-solving in modern compu ... read full description

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  2. Book chapterAbstract only

    Chapter 1 - Multiscale Graph-Theoretic Modeling of Biomolecular Structures

    John Jungck, Debra Knisley, ... Emilie Wiesner

    Pages 1-34

  3. Book chapterAbstract only

    Chapter 2 - Tile-Based DNA Nanostructures: Mathematical Design and Problem Encoding

    Joanna Ellis-Monaghan, Nataša Jonoska and Greta Pangborn

    Pages 35-60

  4. Book chapterAbstract only

    Chapter 3 - Graphs Associated With DNA Rearrangements and Their Polynomials

    Robert Brijder, Hendrik Jan Hoogeboom, ... Masahico Saito

    Pages 61-87

  5. Book chapterAbstract only

    Chapter 4 - The Regulation of Gene Expression by Operons and the Local Modeling Framework

    Matthew Macauley, Andy Jenkins and Robin Davies

    Pages 89-146

  6. Book chapterAbstract only

    Chapter 5 - Modeling the Stochastic Nature of Gene Regulation With Boolean Networks

    David Murrugarra and Boris Aguilar

    Pages 147-173

  7. Book chapterAbstract only

    Chapter 6 - Inferring Interactions in Molecular Networks via Primary Decompositions of Monomial Ideals

    Matthew Macauley and Brandilyn Stigler

    Pages 175-211

  8. Book chapterAbstract only

    Chapter 7 - Analysis of Combinatorial Neural Codes: An Algebraic Approach

    Carina Curto, Alan Veliz-Cuba and Nora Youngs

    Pages 213-240

  9. Book chapterAbstract only

    Chapter 8 - Predicting Neural Network Dynamics via Graphical Analysis

    Katherine Morrison and Carina Curto

    Pages 241-277

  10. Book chapterAbstract only

    Chapter 9 - Multistationarity in Biochemical Networks: Results, Analysis, and Examples

    Carsten Conradi and Casian Pantea

    Pages 279-317

  11. Book chapterAbstract only

    Chapter 10 - The Minimum Evolution Problem in Phylogenetics: Polytopes, Linear Programming, and Interpretation

    Stefan Forcey, Gabriela Hamerlinck, ... William Sands

    Pages 319-349

  12. Book chapterAbstract only

    Chapter 11 - Data Clustering and Self-Organizing Maps in Biology

    Olcay Akman, Timothy Comar, ... Josselyn Gonzales

    Pages 351-374

  13. Book chapterAbstract only

    Chapter 12 - Toward Revealing Protein Function: Identifying Biologically Relevant Clusters With Graph Spectral Methods

    Robin Davies, Urmi Ghosh-Dastidar, ... Widodo Samyono

    Pages 375-409

  14. Book chapterNo access

    Index

    Pages 411-418

About the book

Description

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.

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.

Key Features

  • 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
  • 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

Details

ISBN

978-0-12-814066-6

Language

English

Published

2019

Copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Imprint

Academic Press

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Editors

Raina Robeva

Matthew Macauley