Algebraic 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 mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of essential biology Features material of interest to students in both mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features a companion website with supplementary resources

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  • Author : Raina Robeva
  • Publisher : Academic Press
  • Pages : 382 pages
  • ISBN : 0128012714
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAlgebraic and Discrete Mathematical Methods for Modern Biology

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

Mathematical Concepts and Methods in Modern Biology

Mathematical Concepts and Methods in Modern Biology
  • Author : Raina Robeva,Terrell Hodge
  • Publisher : Academic Press
  • Release : 26 February 2013
GET THIS BOOKMathematical Concepts and Methods in Modern Biology

Mathematical Concepts and Methods in Modern Biology offers a quantitative framework for analyzing, predicting, and modulating the behavior of complex biological systems. The book presents important mathematical concepts, methods and tools in the context of essential questions raised in modern biology. Designed around the principles of project-based learning and problem-solving, the book considers biological topics such as neuronal networks, plant population growth, metabolic pathways, and phylogenetic tree reconstruction. The mathematical modeling tools brought to bear on these topics include Boolean

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

An Invitation to Biomathematics

An Invitation to Biomathematics
  • Author : Raina Robeva,James R. Kirkwood,Robin Lee Davies,Leon Farhy,Boris P. Kovatchev,Martin Straume,Michael L. Johnson
  • Publisher : Academic Press
  • Release : 28 August 2007
GET THIS BOOKAn Invitation to Biomathematics

Essential for all biology and biomathematics courses, this textbook provides students with a fresh perspective of quantitative techniques in biology in a field where virtually any advance in the life sciences requires a sophisticated mathematical approach. An Invitation to Biomathematics, expertly written by a team of experienced educators, offers students a solid understanding of solving biological problems with mathematical applications. This text succeeds in enabling students to truly experience advancements made in biology through mathematical models by containing computer-based hands-on

Laboratory Manual of Biomathematics

Laboratory Manual of Biomathematics
  • Author : Raina S. Robeva,James R. Kirkwood,Robin L. Davies
  • Publisher : Academic Press
  • Release : 17 April 2021
GET THIS BOOKLaboratory Manual of Biomathematics

Laboratory Manual of Biomathematics is a companion to the textbook An Invitation to Biomathematics. This laboratory manual expertly aids students who wish to gain a deeper understanding of solving biological issues with computer programs. It provides hands-on exploration of model development, model validation, and model refinement, enabling students to truly experience advancements made in biology by mathematical models. Each of the projects offered can be used as individual module in traditional biology or mathematics courses such as calculus, ordinary differential

A Primer for Undergraduate Research

A Primer for Undergraduate Research
  • Author : Aaron Wootton,Valerie Peterson,Christopher Lee
  • Publisher : Birkhäuser
  • Release : 06 February 2018
GET THIS BOOKA Primer for Undergraduate Research

This highly readable book aims to ease the many challenges of starting undergraduate research. It accomplishes this by presenting a diverse series of self-contained, accessible articles which include specific open problems and prepare the reader to tackle them with ample background material and references. Each article also contains a carefully selected bibliography for further reading. The content spans the breadth of mathematics, including many topics that are not normally addressed by the undergraduate curriculum (such as matroid theory, mathematical biology,

BIOMAT 2015

BIOMAT 2015
  • Author : Rubem P Mondaini
  • Publisher : World Scientific
  • Release : 28 April 2016
GET THIS BOOKBIOMAT 2015

This is a book of an international series on interdisciplinary topics of the Mathematical and Biological Sciences. The chapters are related to selected papers on the research themes presented at BIOMAT 2015 International Symposium on Mathematical and Computational Biology which was held in the Roorkee Institute of Technology, in Roorkee, Uttarakhand, India, on November 02–06, 2015. The treatment is both pedagogical and advanced in order to motivate research students to fulfill the requirements of professional practitioners. As in other volumes of this series,

Pursuing Sustainability

Pursuing Sustainability
  • Author : Pamela Matson,William C. Clark,Krister Andersson
  • Publisher : Princeton University Press
  • Release : 29 March 2016
GET THIS BOOKPursuing Sustainability

An essential guide to sustainable development for students and practitioners Sustainability is a global imperative and a scientific challenge like no other. This concise guide provides students and practitioners with a strategic framework for linking knowledge with action in the pursuit of sustainable development, and serves as an invaluable companion to more narrowly focused courses dealing with sustainability in particular sectors such as energy, food, water, and housing, or in particular regions of the world. Written by leading experts, Pursuing

Discrete Mathematical Structures

Discrete Mathematical Structures
  • Author : D. S. Malik,M. K. Sen
  • Publisher : Course Technology Ptr
  • Release : 17 April 2021
GET THIS BOOKDiscrete Mathematical Structures

Teaches students the mathematical foundations of computer science, including logic, Boolean algebra, basic graph theory, finite state machines, grammars and algorithms, and helps them understand mathematical reasoning for reading, comprehension and construction of mathematical arguments.

A Project-Based Guide to Undergraduate Research in Mathematics

A Project-Based Guide to Undergraduate Research in Mathematics
  • Author : Pamela E. Harris,Erik Insko,Aaron Wootton
  • Publisher : Springer Nature
  • Release : 17 April 2020
GET THIS BOOKA Project-Based Guide to Undergraduate Research in Mathematics

This volume provides accessible and self-contained research problems designed for undergraduate student projects, and simultaneously promotes the development of sustainable undergraduate research programs. The chapters in this work span a variety of topical areas of pure and applied mathematics and mathematics education. Each chapter gives a self-contained introduction on a research topic with an emphasis on the specific tools and knowledge needed to create and maintain fruitful research programs for undergraduates. Some of the topics discussed include:• Disease modeling• Tropical

Discrete Mathematics with Applications

Discrete Mathematics with Applications
  • Author : Thomas Koshy
  • Publisher : Elsevier
  • Release : 19 January 2004
GET THIS BOOKDiscrete Mathematics with Applications

This approachable text studies discrete objects and the relationsips that bind them. It helps students understand and apply the power of discrete math to digital computer systems and other modern applications. It provides excellent preparation for courses in linear algebra, number theory, and modern/abstract algebra and for computer science courses in data structures, algorithms, programming languages, compilers, databases, and computation. * Covers all recommended topics in a self-contained, comprehensive, and understandable format for students and new professionals * Emphasizes problem-solving techniques,

Algebraic and Geometric Methods in Discrete Mathematics

Algebraic and Geometric Methods in Discrete Mathematics
  • Author : Heather A. Harrington,Mohamed Omar,Matthew Wright
  • Publisher : American Mathematical Soc.
  • Release : 16 March 2017
GET THIS BOOKAlgebraic and Geometric Methods in Discrete Mathematics

This volume contains the proceedings of the AMS Special Session on Algebraic and Geometric Methods in Applied Discrete Mathematics, held on January 11, 2015, in San Antonio, Texas. The papers present connections between techniques from “pure” mathematics and various applications amenable to the analysis of discrete models, encompassing applications of combinatorics, topology, algebra, geometry, optimization, and representation theory. Papers not only present novel results, but also survey the current state of knowledge of important topics in applied discrete mathematics. Particular highlights include:

Proving Darwin

Proving Darwin
  • Author : Gregory Chaitin
  • Publisher : Vintage
  • Release : 15 February 2013
GET THIS BOOKProving Darwin

A metamathematician best known for his discovery of the Omega number explains how Darwin's theory of evolution succeeds on a mathematic level and argues that no one can be certain about evolution without a proven mathematical theory. Original.