Algebraic and Combinatorial Computational Biology

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

Produk Detail:

  • Author : Raina Robeva
  • Publisher : Academic Press
  • Pages : 434 pages
  • ISBN : 0128140690
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAlgebraic and Combinatorial Computational Biology

Algebraic and Combinatorial Computational Biology

Algebraic and Combinatorial Computational Biology
  • Author : Raina Robeva,Matthew Macauley
  • Publisher : Academic Press
  • Release : 08 October 2018
GET THIS BOOKAlgebraic and Combinatorial Computational Biology

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

Algebraic and Discrete Mathematical Methods for Modern Biology

Algebraic and Discrete Mathematical Methods for Modern Biology
  • Author : Raina Robeva
  • Publisher : Academic Press
  • Release : 09 May 2015
GET THIS BOOKAlgebraic and Discrete Mathematical Methods for Modern Biology

Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant

Models of the Mind

Models of the Mind
  • Author : Grace Lindsay
  • Publisher : Bloomsbury Publishing
  • Release : 04 March 2021
GET THIS BOOKModels of the Mind

The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers has been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today

Combinatorial Computational Biology of RNA

Combinatorial Computational Biology of RNA
  • Author : Christian Reidys
  • Publisher : Springer Science & Business Media
  • Release : 29 October 2010
GET THIS BOOKCombinatorial Computational Biology of RNA

In this monograph, new combinatorial and computational approaches in the study of RNA structures are presented which enhance both mathematics and computational biology. It begins with an introductory chapter, which motivates and sets the background of this research. In the following chapter, all the concepts are systematically developed. The reader will find * integration of more than forty research papers covering topics like, RSK-algorithm, reflection principle, singularity analysis and random graph theory * systematic presentation of the theory of pseudo-knotted RNA structures

Patterns in Permutations and Words

Patterns in Permutations and Words
  • Author : Sergey Kitaev
  • Publisher : Springer Science & Business Media
  • Release : 30 August 2011
GET THIS BOOKPatterns in Permutations and Words

There has been considerable interest recently in the subject of patterns in permutations and words, a new branch of combinatorics with its roots in the works of Rotem, Rogers, and Knuth in the 1970s. Consideration of the patterns in question has been extremely interesting from the combinatorial point of view, and it has proved to be a useful language in a variety of seemingly unrelated problems, including the theory of Kazhdan—Lusztig polynomials, singularities of Schubert varieties, interval orders, Chebyshev

Phenotypic Switching

Phenotypic Switching
  • Author : Herbert Levine,Mohit Kumar Jolly,Prakash Kulkarni,Vidyanand Nanjundiah
  • Publisher : Academic Press
  • Release : 10 June 2020
GET THIS BOOKPhenotypic Switching

Phenotypic Switching: Implications in Biology and Medicine provides a comprehensive examination of phenotypic switching across biological systems, including underlying mechanisms, evolutionary significance, and its role in biomedical science. Contributions from international leaders discuss conceptual and theoretical aspects of phenotypic plasticity, its influence over biological development, differentiation, biodiversity, and potential applications in cancer therapy, regenerative medicine and stem cell therapy, among other treatments. Chapters discuss fundamental mechanisms of phenotypic switching, including transition states, cell fate decisions, epigenetic factors, stochasticity, protein-based inheritance,

Non-Unique Factorizations

Non-Unique Factorizations
  • Author : Alfred Geroldinger,Franz Halter-Koch
  • Publisher : CRC Press
  • Release : 13 January 2006
GET THIS BOOKNon-Unique Factorizations

From its origins in algebraic number theory, the theory of non-unique factorizations has emerged as an independent branch of algebra and number theory. Focused efforts over the past few decades have wrought a great number and variety of results. However, these remain dispersed throughout the vast literature. For the first time, Non-Unique Factoriza

Computational Discrete Mathematics

Computational Discrete Mathematics
  • Author : Sriram Pemmaraju,Steven Skiena
  • Publisher : Cambridge University Press
  • Release : 15 October 2009
GET THIS BOOKComputational Discrete Mathematics

This book was first published in 2003. Combinatorica, an extension to the popular computer algebra system Mathematica®, is the most comprehensive software available for teaching and research applications of discrete mathematics, particularly combinatorics and graph theory. This book is the definitive reference/user's guide to Combinatorica, with examples of all 450 Combinatorica functions in action, along with the associated mathematical and algorithmic theory. The authors cover classical and advanced topics on the most important combinatorial objects: permutations, subsets, partitions, and Young tableaux,

Basic Phylogenetic Combinatorics

Basic Phylogenetic Combinatorics
  • Author : Andreas Dress,Katharina T. Huber,Jacobus Koolen
  • Publisher : Cambridge University Press
  • Release : 30 November 2021
GET THIS BOOKBasic Phylogenetic Combinatorics

Phylogenetic combinatorics is a branch of discrete applied mathematics concerned with the combinatorial description and analysis of phylogenetic trees and related mathematical structures such as phylogenetic networks and tight spans. Based on a natural conceptual framework, the book focuses on the interrelationship between the principal options for encoding phylogenetic trees: split systems, quartet systems and metrics. Such encodings provide useful options for analyzing and manipulating phylogenetic trees and networks, and are at the basis of much of phylogenetic data processing.

Monomial Algebras

Monomial Algebras
  • Author : Rafael Villarreal
  • Publisher : CRC Press
  • Release : 08 October 2018
GET THIS BOOKMonomial Algebras

Monomial Algebras, Second Edition presents algebraic, combinatorial, and computational methods for studying monomial algebras and their ideals, including Stanley–Reisner rings, monomial subrings, Ehrhart rings, and blowup algebras. It emphasizes square-free monomials and the corresponding graphs, clutters, or hypergraphs. New to the Second Edition Four new chapters that focus on the algebraic properties of blowup algebras in combinatorial optimization problems of clutters and hypergraphs Two new chapters that explore the algebraic and combinatorial properties of the edge ideal of clutters

Analytic Combinatorics

Analytic Combinatorics
  • Author : Philippe Flajolet,Robert Sedgewick
  • Publisher : Cambridge University Press
  • Release : 15 January 2009
GET THIS BOOKAnalytic Combinatorics

Analytic combinatorics aims to enable precise quantitative predictions of the properties of large combinatorial structures. The theory has emerged over recent decades as essential both for the analysis of algorithms and for the study of scientific models in many disciplines, including probability theory, statistical physics, computational biology, and information theory. With a careful combination of symbolic enumeration methods and complex analysis, drawing heavily on generating functions, results of sweeping generality emerge that can be applied in particular to fundamental structures

Boolean Function Complexity

Boolean Function Complexity
  • Author : Mike S. Paterson,M. S. Paterson,N. J. Hitchin
  • Publisher : Cambridge University Press
  • Release : 05 November 1992
GET THIS BOOKBoolean Function Complexity

Here Professor Paterson brings together papers from the 1990 Durham symposium on Boolean function complexity. The participants include many well known figures in the field.