biplab bhattacharjee v krishna murthy and jhinuk chatterjee evolutionary computational biology autoimmune disorders

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Lodhi Huma M. Elements of Computational Systems Biology

Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology. Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.

11418.17 рублей

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Hojjat Adeli Computational Intelligence. Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence. Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and evolutionary computing, neuro-fuzzy systems, evolutionary-fuzzy systems and evolutionary neural systems. Applications to linear and non-linear systems are discussed with examples. Key features: Covers all the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB® exercises and applications in each chapter Presents the synergies of technologies of computational intelligence such as evolutionary fuzzy neural fuzzy and evolutionary neural systems Considers real world problems in the domain of systems modelling, control and optimization Contains a foreword written by Lotfi Zadeh Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing is an ideal text for final year undergraduate, postgraduate and research students in electrical, control, computer, industrial and manufacturing engineering.

10872.33 рублей

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Gustavo Caetano-Anollés Evolutionary Genomics and Systems Biology

A comprehensive, authoritative look at an emergent area in post-genomic science, Evolutionary genomics is an up-and-coming, complex field that attempts to explain the biocomplexity of the living world. Evolutionary Genomics and Systems Biology is the first full-length book to blend established and emerging concepts in bioinformatics, evolution, genomics, and structural biology, with the integrative views of network and systems biology. Three key aspects of evolutionary genomics and systems biology are covered in clear detail: the study of genomic history, i.e., understanding organismal evolution at the genomic level; the study of macromolecular complements, which encompasses the evolution of the protein and RNA machinery that propels life; and the evolutionary and dynamic study of wiring diagrams—macromolecular components in interaction—in the context of genomic complements. The book also features: A solid, comprehensive treatment of phylogenomics, the evolution of genomes, and the evolution of biological networks, within the framework of systems biology A special section on RNA biology—translation, evolution of structure, and micro RNA and regulation of gene expression Chapters on the mapping of genotypes to phenotypes, the role of information in biology, protein architecture and biological function, chromosomal rearrangements, and biological networks and disease Contributions by leading authorities on each topic Evolutionary Genomics and Systems Biology is an ideal book for students and professionals in genomics, bioinformatics, evolution, structural biology, complexity, origins of life, systematic biology, and organismal diversity, as well as those individuals interested in aspects of biological sciences as they interface with chemistry, physics, and computer science and engineering.

12333.92 рублей

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Rehan Virender K. Evolutionary Biology. Cell-Cell Communication, and Complex Disease

An integrative view of the evolution of genetics and the natural world Even in this advanced age of genomics, the evolutionary process of unicellular and multicellular organisms is continually in debate. Evolutionary Biology, Cell–Cell Communication, and Complex Disease challenges current wisdom by using physiology to present an integrative view of the nature, origins, and evolution of fundamental biological systems. Providing a deeper understanding of the way genes relate to the traits of living organisms, this book offers useful information applying evolutionary biology, functional genomics, and cell communication studies to complex disease. Examining the 4.5 billion-year evolution process from environment adaptations to cell-cell communication to communication of genetic information for reproduction, Evolutionary Biology hones in on the «why and how» of evolution by uniquely focusing on the cell as the smallest unit of biologic structure and function. Based on empirically derived data rather than association studies, Evolutionary Biology covers: A model for forming testable hypotheses in complex disease studies The integrating role played by the evolution of metabolism, especially lipid metabolism The evolutionary continuum from development to homeostasis Regeneration and aging mediated by signaling molecules Ambitious and game-changing Evolutionary Biology suggests that biology began as a mechanism for reducing energy within the cell, defying the Second Law of Thermodynamics. An ideal text for those interested in forward thinking scientific study, the insights presented in Evolutionary Biology help practitioners effectively comprehend the evolutionary process.

7199.58 рублей

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Hitoshi Iba Evolutionary Computation in Gene Regulatory Network Research

Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested readers. The first part of this book contains an introductory background to the field. The second part presents the EC approaches for analysis and reconstruction of GRN from gene expression data. The third part of this book covers the contemporary advancements in the automatic construction of gene regulatory and reaction networks and gives direction and guidelines for future research. Finally, the last part of this book focuses on applications of GRNs with EC in other fields, such as design, engineering and robotics. • Provides a reference for current and future research in gene regulatory networks (GRN) using evolutionary computation (EC) • Covers sub-domains of GRN research using EC, such as expression profile analysis, reverse engineering, GRN evolution, applications • Contains useful contents for courses in gene regulatory networks, systems biology, computational biology, and synthetic biology • Delivers state-of-the-art research in genetic algorithms, genetic programming, and swarm intelligence Evolutionary Computation in Gene Regulatory Network Research is a reference for researchers and professionals in computer science, systems biology, and bioinformatics, as well as upper undergraduate, graduate, and postgraduate students. Hitoshi Iba is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at the University of Tokyo, Toyko, Japan. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the journal of Genetic Programming and Evolvable Machines. Nasimul Noman is a lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. From 2002 to 2012 he was a faculty member at the University of Dhaka, Bangladesh. Noman is an Editor of the BioMed Research International journal. His research interests include computational biology, synthetic biology, and bioinformatics.

10497.42 рублей

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Derong Liu Fundamentals of Computational Intelligence. Neural Networks, Fuzzy Systems, and Evolutionary Computation

Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

8997.79 рублей

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Elloumi Mourad Algorithms in Computational Molecular Biology. Techniques, Approaches and Applications

This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

13947.02 рублей

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Spencer Barrett C.H. Invasion Genetics. The Baker and Stebbins Legacy

Invasion Genetics: the Baker & Stebbins legacy provides a state-of-the-art treatment of the evolutionary biology of invasive species, whilst also revisiting the historical legacy of one of the most important books in evolutionary biology: The Genetics of Colonizing Species, published in 1965 and edited by Herbert Baker and G. Ledyard Stebbins. This volume covers a range of topics concerned with the evolutionary biology of invasion including: phylogeography and the reconstruction of invasion history; demographic genetics; the role of stochastic forces in the invasion process; the contemporary evolution of local adaptation; the significance of epigenetics and transgenerational plasticity for invasive species; the genomic consequences of colonization; the search for invasion genes; and the comparative biology of invasive species. A wide diversity of invasive organisms are discussed including plants, animals, fungi and microbes.

5634.29 рублей

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Ahmed Moustafa A. Computational Models of Brain and Behavior

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

11247.23 рублей

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Chiarabelli Cristiano Chemical Synthetic Biology

Chemistry plays a very important role in the emerging field of synthetic biology. In particular, chemical synthetic biology is concerned with the synthesis of chemical structures, such as proteins, that do not exist in nature. With contributions from leading international experts, Chemical Synthetic Biology shows how chemistry underpins synthetic biology. The book is an essential guide to this fascinating new field, and will find a place on the bookshelves of researchers and students working in synthetic chemistry, synthetic and molecular biology, bioengineering, systems biology, computational genomics, and bioinformatics.

13027.44 рублей

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Michael Roberts F. Receptor Biology

This book is geared to every student in biology, pharmacy and medicine who needs to become familiar with receptor mediated signaling. The text starts with explaining some basics in membrane biochemistry, hormone biology and the concept of receptor based signaling as the main form of communication between cells and of cells with the environment. It goes on covering each receptor superfamily in detail including their structure and evolutionary context. The last part focusses exclusively on examples where thorough knowledge of receptors is critical: pharmaceutical research, developmental biology, neurobiology and evolutionary biology. Richly illustrated, the book is perfectly suited for all courses covering receptor based signaling, regardless whether they are part of the biology, medicine or pharmacology program.

7123.25 рублей

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Mourad Elloumi Pattern Recognition in Computational Molecular Biology. Techniques and Approaches

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.

10497.42 рублей

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Ze'ev Hochberg Evo-Devo of Child Growth. Treatise on Child Growth and Human Evolution

Working with principles from the fields of evolutionary and developmental biology (evo-devo), this fascinating work offers a new approach to analyzing child growth and development, examining each stage and transition in detail, from fetal development to preadulthood. Based on the author's in-depth review of the current literature and his own observations as a pediatric endocrinologist, the book demonstrates how the transitions between human life history phases represent unique periods of evolutionary adaptive response to the environment. In addition, the author explains why an understanding of these transition periods enables us to better understand the sequence and mechanisms of child growth as well as to better diagnose child growth disorders. Logically organized and clearly written, Evo-Devo of Child Growth: Sets a solid foundation of principles such as evolutionary thinking in medicine and child growth, life history theory, and heterochrony and allometry Examines the relationship between child growth and the theory of life history Applies evo-devo theory to fetal growth, infancy, childhood, juvenility, adolescence, and preadulthood Explores the trade-offs and adaptive phenotypic plasticity during transition periods Explains the role of life history theory in understanding and diagnosing growth disorders such as Down syndrome, Noonan syndrome, and Silver-Russell syndrome In addition to the author's own analysis and observations, this book also features notes from leading clinicians and evolutionary biologists, offering additional perspectives on the relationship between evo-devo and child growth and development. Evo-Devo of Child Growth provides a new perspective for evolutionary biologists to understand the phases and transitions of child growth. Moreover, it offers a new approach to help clinicians to better understand and diagnose a broad range of child growth disorders.

12640.45 рублей

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Hugo Kubinyi Protein-Protein Interactions in Drug Discovery

Treating protein-protein interactions as a novel and highly promising class of drug targets, this volume introduces the underlying strategies step by step, from the biology of PPIs to biophysical and computational methods for their investigation. The main part of the book describes examples of protein targets for which small molecule modulators have been developed, covering such diverse fields as cancer, autoimmune disorders and infectious diseases. Tailor-made for the practicing medicinal chemist, this ready reference includes a wide selection of case studies taken straight from the development pipeline of major pharmaceutical companies to illustrate the power and potential of this approach. From the contents: * Prediction of intra- and inter-species protein-protein interactions facilitating systems biology studies * Modulators of protein-protein interactions: The importance of Three-Dimensionality * Interactive technologies for leveraging the known chemistry of anchor residues * SH3 Domains as Drug Targets * P53 MDM2 Antagonists: Towards Non Genotoxic Anticancer Treatments * Inhibition of LFA-1/ICAM interaction for treatment of autoimmune diseases * The PIF-binding pocket of AGC kinases * Peptidic inhibitors of protein-protein interactions for cell adhesion receptors * The REPLACE Strategy for generating Non-ATP competitive Inhibitors of Cell-Cycle Protein Kinases and more

15746.13 рублей

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Rene Kratz Fester Biology Essentials For Dummies

Just the core concepts you need to score high in your biology course Biology Essentials For Dummies focuses on just the core concepts you need to succeed in an introductory biology course. From identifying the structures and functions of plants and animals to grasping the crucial discoveries in evolutionary, reproductive, and ecological biology, this easy-to-follow guide lets you skip the suffering and score high at exam time. Get down to basics – master the fundamentals, from understanding what biologists study to how living things are classified The chemistry of life – find out what you need to know about atoms, elements, molecules, compounds, acids, bases, and more Conquer and divide – discover the ins and outs of asexual and sexual reproduction, including cell division and DNA replication Jump into the gene pool – grasp how proteins make traits happen, and easily understand DNA transcription, RNA processing, translation, and gene regulation Open the book and find: An overview of cells and their substructures Elementary chemistry The key facts about reproduction and DNA The 411 on energy and organisms What you need to know about evolution Coverage of ecosystems and populations Ten great biology discoveries Learn: Core concepts taught in an introductory biology course The structures and functions of plants and animals The key discoveries in evolutionary, reproductive, and ecological biology

636.97 рублей

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Higgs Paul G. Bioinformatics and Molecular Evolution

In the current era of complete genome sequencing, Bioinformatics and Molecular Evolution provides an up-to-date and comprehensive introduction to bioinformatics in the context of evolutionary biology. This accessible text: provides a thorough examination of sequence analysis, biological databases, pattern recognition, and applications to genomics, microarrays, and proteomics emphasizes the theoretical and statistical methods used in bioinformatics programs in a way that is accessible to biological science students places bioinformatics in the context of evolutionary biology, including population genetics, molecular evolution, molecular phylogenetics, and their applications features end-of-chapter problems and self-tests to help students synthesize the materials and apply their understanding is accompanied by a dedicated website – www.blackwellpublishing.com/higgs – containing downloadable sequences, links to web resources, answers to self-test questions, and all artwork in downloadable format (artwork also available to instructors on CD-ROM). This important textbook will equip readers with a thorough understanding of the quantitative methods used in the analysis of molecular evolution, and will be essential reading for advanced undergraduates, graduates, and researchers in molecular biology, genetics, genomics, computational biology, and bioinformatics courses.

9728.43 рублей

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Zvelebil Marketa J. Concise Encyclopaedia of Bioinformatics and Computational Biology

Concise Encyclopaedia of Bioinformatics and Computational Biology, 2nd Edition is a fully revised and updated version of this acclaimed resource. The book provides definitions and often explanations of over 1000 words, phrases and concepts relating to this fast-moving and exciting field, offering a convenient, one-stop summary of the core knowledge in the area. This second edition is an invaluable resource for students, researchers and academics.

15475.83 рублей

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Jie Liang Models and Algorithms for Biomolecules and Molecular Networks

By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms Sampling techniques for estimating evolutionary rates and generating molecular structures Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations End-of-chapter exercises

8622.88 рублей

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Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested readers. The first part of this book contains an introductory background to the field. The second part presents the EC approaches for analysis and reconstruction of GRN from gene expression data. The third part of this book covers the contemporary advancements in the automatic construction of gene regulatory and reaction networks and gives direction and guidelines for future research. Finally, the last part of this book focuses on applications of GRNs with EC in other fields, such as design, engineering and robotics. • Provides a reference for current and future research in gene regulatory networks (GRN) using evolutionary computation (EC) • Covers sub-domains of GRN research using EC, such as expression profile analysis, reverse engineering, GRN evolution, applications • Contains useful contents for courses in gene regulatory networks, systems biology, computational biology, and synthetic biology • Delivers state-of-the-art research in genetic algorithms, genetic programming, and swarm intelligence Evolutionary Computation in Gene Regulatory Network Research is a reference for researchers and professionals in computer science, systems biology, and bioinformatics, as well as upper undergraduate, graduate, and postgraduate students. Hitoshi Iba is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at the University of Tokyo, Toyko, Japan. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the journal of Genetic Programming and Evolvable Machines. Nasimul Noman is a lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. From 2002 to 2012 he was a faculty member at the University of Dhaka, Bangladesh. Noman is an Editor of the BioMed Research International journal. His research interests include computational biology, synthetic biology, and bioinformatics.

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