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Biological Computing

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Biological Computation

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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 Computing

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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

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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.

Analysis Of Biological Data

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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 Computation

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Author : Ehud Lamm
language : en
Publisher: CRC Press
Release Date : 2011-05-25

Biology Computing And The History Of Molecular Sequencing

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Author : M. García-Sancho
language : en
Publisher: Springer
Release Date : 2012-05-11

Biology Computing And The History Of Molecular Sequencing written by M. García-Sancho and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-05-11 with Science categories.

Sequencing is often associated with the Human Genome Project and celebrated achievements concerning the DNA molecule. However, the history of this practice comprises not only academic biology, but also the world of computer-assisted information management. The book uncovers this history, qualifying the hype and expectations around genomics.

Bio Inspired Computing Theories And Applications

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Author : Linqiang Pan
language : en
Publisher: Springer Nature
Release Date : 2020-04-01

Bio Inspired Computing Theories And Applications written by Linqiang Pan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.

This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019. The 122 full papers presented in both volumes were selected from 197 submissions. The papers in the two volumes are organized according to the topical headings: evolutionary computation and swarm intelligence; bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence.

Bio Inspired Computing And Communication

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Author : Pietro Liò
language : en
Publisher: Springer
Release Date : 2008-11-27

Bio Inspired Computing And Communication written by Pietro Liò and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-27 with Computers categories.

This volume contains the papers from BIOWIRE 2007, the first in a series of wo- shops on the bio-inspired design of networks, and additional papers contributed from the research area of bio-inspired computing and communication. The workshop took place at the University of Cambridge during April 2–5, 2007 with sponsorship from the US/UK International Technology Alliance in Network and Information Sciences. Its objective was to present, discuss and explore the recent developments in the field of bio-inspired design of networks, with particular regard to wireless networks and the self-organizing properties of biological networks. The workshop was organized by Jon Crowcroft (University of Cambridge), Don Towsley (University of Massachusetts), Dinesh Verma (IBM T. J. Watson Research Center), Vasilis Pappas (IBM T. J. Watson Research Center), Ananthram Swami (ARL), Tom McCutcheon (DSTL) and Pietro Liò (University of Cambridge). The program for BIOWIRE 2007 included 54 speakers covering a diverse range of topics, categorized as follows: 1. Self-organized communication networks in insects 2. Neuronal communications 3. Bio-computing 4. Epidemiology 5. Network theory 6. Wireless and sensorial networks 7. Brain: models of sensorial integration The BIOWIRE workshop focuses on achieving a common ground for knowledge sharing among scientists with expertise in investigating the application domain (e. g. , biological, wireless, data communication and transportation networks) and scientists with relevant expertise in the methodology domain (e. g. , mathematics and statistical physics of networks).

Bio Inspired Computing Theories And Applications

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Author : Jianyong Qiao
language : en
Publisher: Springer
Release Date : 2018-10-17

Bio Inspired Computing Theories And Applications written by Jianyong Qiao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-17 with Computers categories.

This two-volume set (CCIS 951 and CCIS 952) constitutes the proceedings of the 13th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2018, held in Beijing, China, in November 2018. The 88 full papers presented in both volumes were selected from 206 submissions. The papers deal with studies abstracting computing ideas such as data structures, operations with data, ways to control operations, computing models from living phenomena or biological systems such as evolution, cells, neural networks, immune systems, swarm intelligence.

Catalyzing Inquiry At The Interface Of Computing And Biology

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Author : National Research Council
language : en
Publisher: National Academies Press
Release Date : 2006-01-01

Catalyzing Inquiry At The Interface Of Computing And Biology written by National Research Council and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with Science categories.

Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress. To help take advantage of these opportunities, this study was requested of the NRC by the National Science Foundation, the Department of Defense, the National Institutes of Health, and the Department of Energy. The report provides the basis for establishing cross-disciplinary collaboration between biology and computing including an analysis of potential impediments and strategies for overcoming them. The report also presents a wealth of examples that should encourage students in the biological sciences to look for ways to enable them to be more effective users of computing in their studies.

Biological Computing

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