Biological Computation
DOWNLOAD
Download Biological Computation PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Biological Computation book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Biological Computation
DOWNLOAD
Author : Ehud Lamm
language : en
Publisher: CRC Press
Release Date : 2011-05-25
Biological Computation written by Ehud Lamm and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-25 with Mathematics categories.
The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how evolution solves optimization problems, that the way ants organize their nests can be applied to solve clustering problems, and what the human immune system can teach us about protecting computer networks. The authors discuss more biological examples such as these, along with the computational techniques developed from these scenarios. The text focuses on cellular automata, evolutionary computation, neural networks, and molecular computation. Each chapter explores the biological background, describes the computational techniques, gives examples of applications, discusses possible variants of the techniques, and includes exercises and solutions. The authors use the examples and exercises to illustrate key ideas and techniques. Clearly conveying the essence of the major computational approaches in the field, this book brings students to the point where they can either produce a working implementation of the techniques or effectively use one of the many available implementations. Moreover, the techniques discussed reflect fundamental principles that can be applied beyond bio-inspired computing. Supplementary material is available on Dr. Unger's website.
Biological Computation
DOWNLOAD
Author : Ehud Lamm
language : en
Publisher: CRC Press
Release Date : 2011-05-25
Biological Computation written by Ehud Lamm and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-25 with Science categories.
The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how evolution solves optimization problems, that the way ants organize their nests can be applied to solve clustering problems, and what the human immune system can teach us about protecting computer networks. The authors discuss more biological examples such as these, along with the computational techniques developed from these scenarios. The text focuses on cellular automata, evolutionary computation, neural networks, and molecular computation. Each chapter explores the biological background, describes the computational techniques, gives examples of applications, discusses possible variants of the techniques, and includes exercises and solutions. The authors use the examples and exercises to illustrate key ideas and techniques. Clearly conveying the essence of the major computational approaches in the field, this book brings students to the point where they can either produce a working implementation of the techniques or effectively use one of the many available implementations. Moreover, the techniques discussed reflect fundamental principles that can be applied beyond bio-inspired computing. Supplementary material is available on Dr. Unger's website.
Introduction To Computational Biology
DOWNLOAD
Author : Bernhard Haubold
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-09
Introduction To Computational Biology written by Bernhard Haubold and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-09 with Science categories.
Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.
Analysis Of Biological Data
DOWNLOAD
Author : Sanghamitra Bandyopadhyay
language : en
Publisher: World Scientific
Release Date : 2007
Analysis Of Biological Data written by Sanghamitra Bandyopadhyay and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Bioinformatics, a field devoted to the interpretation and analysis of biological data using computational techniques, has evolved tremendously in recent years due to the explosive growth of biological information generated by the scientific community. Soft computing is a consortium of methodologies that work synergistically and provides, in one form or another, flexible information processing capabilities for handling real-life ambiguous situations. Several research articles dealing with the application of soft computing tools to bioinformatics have been published in the recent past; however, they are scattered in different journals, conference proceedings and technical reports, thus causing inconvenience to readers, students and researchers. This book, unique in its nature, is aimed at providing a treatise in a unified framework, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the various ways in which they can be used for analyzing biological data in an efficient manner. Interesting research articles from eminent scientists around the world are brought together in a systematic way such that the reader will be able to understand the issues and challenges in this domain, the existing ways of tackling them, recent trends, and future directions. This book is the first of its kind to bring together two important research areas, soft computing and bioinformatics, in order to demonstrate how the tools and techniques in the former can be used for efficiently solving several problems in the latter. Sample Chapter(s). Chapter 1: Bioinformatics: Mining the Massive Data from High Throughput Genomics Experiments (160 KB). Contents: Overview: Bioinformatics: Mining the Massive Data from High Throughput Genomics Experiments (H Tang & S Kim); An Introduction to Soft Computing (A Konar & S Das); Biological Sequence and Structure Analysis: Reconstructing Phylogenies with Memetic Algorithms and Branch-and-Bound (J E Gallardo et al.); Classification of RNA Sequences with Support Vector Machines (J T L Wang & X Wu); Beyond String Algorithms: Protein Sequence Analysis Using Wavelet Transforms (A Krishnan & K-B Li); Filtering Protein Surface Motifs Using Negative Instances of Active Sites Candidates (N L Shrestha & T Ohkawa); Distill: A Machine Learning Approach to Ab Initio Protein Structure Prediction (G Pollastri et al.); In Silico Design of Ligands Using Properties of Target Active Sites (S Bandyopadhyay et al.); Gene Expression and Microarray Data Analysis: Inferring Regulations in a Genomic Network from Gene Expression Profiles (N Noman & H Iba); A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-Objective Evolutionary Procedure (K Deb et al.); Feature Selection for Cancer Classification Using Ant Colony Optimization and Support Vector Machines (A Gupta et al.); Sophisticated Methods for Cancer Classification Using Microarray Data (S-B Cho & H-S Park); Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data (A Mukhopadhyay et al.). Readership: Graduate students and researchers in computer science, bioinformatics, computational and molecular biology, artificial intelligence, data mining, machine learning, electrical engineering, system science; researchers in pharmaceutical industries.
Biological Computing
DOWNLOAD
Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2025-03-16
Biological Computing written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-16 with Science categories.
In an era where biology and computing converge, Biological Computing unveils the profound impact of nanobiotechnology on science, medicine, and engineering. This book is a gateway to understanding how biological systems inspire computational models, drive innovation, and redefine the boundaries of technology. Designed for professionals, students, and enthusiasts alike, it presents a compelling synthesis of theory and application. Chapters Brief Overview: 1: Biological computing – Explores the intersection of biology and computation, setting the foundation. 2: Reactome – Examines biochemical pathways as informationprocessing networks within living systems. 3: Molecular logic gate – Discusses how molecules perform logic operations, mimicking digital circuits. 4: Multistate modeling of biomolecules – Analyzes biomolecular dynamics for computational applications. 5: Wetware computer – Introduces biocomputers using living cells as functional computational units. 6: Nanobiotechnology – Highlights the role of nanoscale biological tools in computational advancements. 7: Aptamer – Covers synthetic molecules that bind to targets with high specificity, aiding computation. 8: Transcriptor – Explains transistorlike biological components essential for genetic circuit design. 9: Bioinformatics – Details computational techniques for analyzing biological data and genomic sequences. 10: Metabolome – Investigates metabolic networks and their potential for biological computation. 11: Gene regulatory network – Describes gene interactions as complex computational decision systems. 12: Biomolecular engineering – Discusses the design and optimization of biological computing elements. 13: Synthetic biology – Explores engineered biological systems capable of executing computational tasks. 14: DNA computing – Showcases DNA as a medium for encoding, storing, and processing information. 15: Biophysics – Examines physical principles underlying molecularscale biological computations. 16: Chemical computer – Investigates chemical reactions as computational processes beyond traditional computing. 17: Natural computing – Explores computational paradigms inspired by natural biological mechanisms. 18: Metabolic network modeling – Discusses frameworks for simulating metabolic processes computationally. 19: Computational gene – Explains the digital representation of genes and their computational significance. 20: Metabolic engineering – Shows how metabolic pathways are designed for optimized computational efficiency. 21: Genomics – Examines largescale genetic data analysis and its impact on computational biology. By bridging molecular science and computation, Biological Computing presents a transformative perspective on problemsolving in modern science and engineering. Whether you're a researcher, student, or enthusiast, this book unlocks the potential of nanobiotechnology in reshaping our digital and biological future.
Biological Computing
DOWNLOAD
Author : Jin Xu
language : en
Publisher: Springer Nature
Release Date : 2025-05-12
Biological Computing written by Jin Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-12 with Computers categories.
This open access book comprehensively introduces biocomputing, focusing on its foundational theories, experimental operations, and computational models. Biocomputing represents an innovative computational paradigm that leverages biomolecules as a carrier for processing and storing information. As a core enabler of human progress, computational tools serve as critical benchmarks of societal advancement and are key drivers of technological innovation. While electronic computers currently dominate as the primary instruments for information processing, their underlying manufacturing technologies are approaching physical and practical limits. This has prompted the search for alternative computational models and tools to meet the demands of future advancements. Over recent decades, scientists have explored various fields to develop novel computational frameworks. These efforts have led to the emergence of groundbreaking paradigms, such as artificial neural networks inspired by brain-like information processing, evolutionary computing based on genetic mechanisms, biocomputing utilizing the unique properties of biomolecules, quantum computing exploiting quantum phenomena, and optical computing leveraging the properties of light. Designed as an essential resource for readers interested in the principles and applications of biocomputing, this book establishes a foundational understanding of the subject while serving as a bridge to more advanced theoretical and practical exploration. A basic knowledge of molecular biology is recommended for readers to engage with the material fully. The translation was done using artificial intelligence. Subsequently, a human revision was done primarily in terms of content.
Biology And Computation A Physicist S Choice
DOWNLOAD
Author : Hanoch Gutfreund
language : en
Publisher: World Scientific
Release Date : 1994-03-04
Biology And Computation A Physicist S Choice written by Hanoch Gutfreund and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-03-04 with Science categories.
This book provides a comprehensive review of the works in the rapidly evolving field of neural networks and brain studies. Its purpose is two-fold: to help physicists entering this field to get a broader view of the context of the domain, and to help scientists of other disciplines to reach a better understanding of the physicists' contributions within a context of perspectives they can relate to.Included in the volume are 68 carefully selected, high quality reprints to provide the volume with both breadth and depth. It is organized into 5 sections and 22 chapters, both the sections and chapters being preceded by introductory comments by the editors.
An Introduction To Formal Languages And Machine Computation
DOWNLOAD
Author : Song Y. Yan
language : en
Publisher: World Scientific
Release Date : 1998
An Introduction To Formal Languages And Machine Computation written by Song Y. Yan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
This book provides a concise and modern introduction to Formal Languages and Machine Computation, a group of disparate topics in the theory of computation, which includes formal languages, automata theory, turing machines, computability, complexity, number-theoretic computation, public-key cryptography, and some new models of computation, such as quantum and biological computation. As the theory of computation is a subject based on mathematics, a thorough introduction to a number of relevant mathematical topics, including mathematical logic, set theory, graph theory, modern abstract algebra, and particularly number theory, is given in the first chapter of the book. The book can be used either as a textbook for an undergraduate course, for a first-year graduate course, or as a basic reference in the field.
Artificial Intelligence Technologies For Computational Biology
DOWNLOAD
Author : Ranjeet Kumar Rout
language : en
Publisher: CRC Press
Release Date : 2022-11-10
Artificial Intelligence Technologies For Computational Biology written by Ranjeet Kumar Rout and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-10 with Technology & Engineering categories.
This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: • Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. • Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. • Presents the application of evolutionary computations for fractal visualization of sequence data. • Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. • Examines the roles of efficient computational techniques in biology.