Quantum Biocomputing In Quantum Biology Volume Ii
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Quantum Biocomputing In Quantum Biology Volume Ii
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Author : Hafiz Md. Hasan Babu
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Quantum Biocomputing In Quantum Biology Volume Ii written by Hafiz Md. Hasan Babu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Computers categories.
The book starts with the basics of Quantum Computing, Biocomputing, Quantum Biology, Quantum-DNA Computing, and DNA-Quantum Computing. It also discusses the fundamental operations in quantum computing and Biocomputing. Different types of quantum arithmetic circuits, quantum-DNA arithmetic circuits and DNA-quantum arithmetic circuits such as basic and universal gate operations, half-adder, full-adder, half subtractor, full subtractor, N-qubit adders, multipliers, dividers, etc., are explained clearly. Nuclear Magnetic Resonance (NMR), NMR relaxation, quantum cache memory, heat conduction circuit, and trap ion are also discussed. The readers can get a clear idea about different types of quantum, quantum-DNA and DNA-quantum circuits such as arithmetic, combinational, sequential, memory devices, programmable logic devices, nano-processors and will be able to design their own circuits. Then, it discusses Heat Measurement, Speed Calculation, Heat Transfer, Data Conversion, and Data Management in Quantum Computing and Quantum Biocomputing (Quantum-DNA Computing and DNA-Quantum Computing). As a whole, this book is a great resource for quantum, quantum-DNA and DNA-Quantum Computing, it is the book where computing in quantum biology is introduced for the quantum biology researchers, students, and academicians. This is a novel approach to writing a book in this field. This book quenches the thirst of beginners to advanced-level readers.
Quantum Biocomputing In Quantum Biology Volume I
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Author : Hafiz Md. Hasan Babu
language : en
Publisher: Springer Nature
Release Date : 2025-07-01
Quantum Biocomputing In Quantum Biology Volume I written by Hafiz Md. Hasan Babu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Computers categories.
The book starts with the basics of Quantum Computing, Biocomputing, Quantum Biology, Quantum-DNA Computing, and DNA-Quantum Computing. It also discusses the fundamental operations in quantum computing and Biocomputing. Different types of quantum arithmetic circuits, quantum-DNA arithmetic circuits and DNA-quantum arithmetic circuits such as basic and universal gate operations, half-adder, full-adder, half subtractor, full subtractor, N-qubit adders, multipliers, dividers, etc., are explained clearly. Nuclear Magnetic Resonance (NMR), NMR relaxation, quantum cache memory, heat conduction circuit, and trap ion are also discussed. The readers can get a clear idea about different types of quantum, quantum-DNA and DNA-quantum circuits such as arithmetic, combinational, sequential, memory devices, programmable logic devices, nano-processors and will be able to design their own circuits. Then, it discusses Heat Measurement, Speed Calculation, Heat Transfer, Data Conversion, and Data Management in Quantum Computing and Quantum Biocomputing (Quantum-DNA Computing and DNA-Quantum Computing). As a whole, this book is a great resource for quantum, quantum-DNA and DNA-Quantum Computing, it is the book where computing in quantum biology is introduced for the quantum biology researchers, students, and academicians. This is a novel approach to writing a book in this field. This book quenches the thirst of beginners to advanced-level readers.
Quantum Biological Information Theory
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Author : Ivan B. Djordjevic
language : en
Publisher: Springer
Release Date : 2015-10-05
Quantum Biological Information Theory written by Ivan B. Djordjevic and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-05 with Technology & Engineering categories.
This book is a self-contained, tutorial-based introduction to quantum information theory and quantum biology. It serves as a single-source reference to the topic for researchers in bioengineering, communications engineering, electrical engineering, applied mathematics, biology, computer science, and physics. The book provides all the essential principles of the quantum biological information theory required to describe the quantum information transfer from DNA to proteins, the sources of genetic noise and genetic errors as well as their effects. Integrates quantum information and quantum biology concepts; Assumes only knowledge of basic concepts of vector algebra at undergraduate level; Provides a thorough introduction to basic concepts of quantum information processing, quantum information theory, and quantum biology; Includes in-depth discussion of the quantum biological channel modelling, quantum biological channel capacity calculation, quantum models of aging, quantum models of evolution, quantum models on tumor and cancer development, quantum modeling of bird navigation compass, quantum aspects of photosynthesis, quantum biological error correction.
Quantum Effects In Biology
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Author : Masoud Mohseni
language : en
Publisher: Cambridge University Press
Release Date : 2014-08-07
Quantum Effects In Biology written by Masoud Mohseni and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-07 with Science categories.
Explores the role of quantum mechanics in biology for advanced undergraduate and graduate students in physics, biology and chemistry.
Quantum Adaptivity In Biology From Genetics To Cognition
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Author : Masanari Asano
language : en
Publisher: Springer
Release Date : 2015-04-14
Quantum Adaptivity In Biology From Genetics To Cognition written by Masanari Asano and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-14 with Science categories.
This book examines information processing performed by bio-systems at all scales: from genomes, cells and proteins to cognitive and even social systems. It introduces a theoretical/conceptual principle based on quantum information and non-Kolmogorov probability theory to explain information processing phenomena in biology as a whole. The book begins with an introduction followed by two chapters devoted to fundamentals, one covering classical and quantum probability, which also contains a brief introduction to quantum formalism, and another on an information approach to molecular biology, genetics and epigenetics. It then goes on to examine adaptive dynamics, including applications to biology, and non-Kolmogorov probability theory. Next, the book discusses the possibility to apply the quantum formalism to model biological evolution, especially at the cellular level: genetic and epigenetic evolutions. It also presents a model of the epigenetic cellular evolution based on the mathematical formalism of open quantum systems. The last two chapters of the book explore foundational problems of quantum mechanics and demonstrate the power of usage of positive operator valued measures (POVMs) in biological science. This book will appeal to a diverse group of readers including experts in biology, cognitive science, decision making, sociology, psychology, and physics; mathematicians working on problems of quantum probability and information and researchers in quantum foundations.
Intelligent Data Analytics For Bioinformatics And Biomedical Systems
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Author : Neha Sharma
language : en
Publisher: John Wiley & Sons
Release Date : 2024-10-11
Intelligent Data Analytics For Bioinformatics And Biomedical Systems written by Neha Sharma and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-11 with Medical categories.
The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems. Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases. This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges. Audience Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.
Bioinformatics And Computational Biology
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Author : Tiratha Raj Singh
language : en
Publisher: CRC Press
Release Date : 2023-12-13
Bioinformatics And Computational Biology written by Tiratha Raj Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-13 with Computers categories.
Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions. The book offers comprehensive coverage of the most essential and emerging topics: Cloud-based monitoring of bioinformatics multivariate data with cloud platforms Machine learning and deep learning in bioinformatics Quantum machine learning for biological applications Integrating machine learning strategies with multiomics to augment prognosis in chronic diseases Biomedical engineering Next generation sequencing techniques and applications Computational systems biology and molecular evolution While other books may touch on some of the same issues and nuances of biological data analysis, they neglect to feature bioinformatics and computational biology exclusively, and as exhaustively. This book's abundance of several subtopics related to almost all of the regulatory activities of biomolecules from where real data is being generated brings an added dimension.
Proc Of The Third Brazilian Symp On Mathematical And Computational Biology V2
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Author :
language : en
Publisher: Editora E-papers
Release Date :
Proc Of The Third Brazilian Symp On Mathematical And Computational Biology V2 written by and has been published by Editora E-papers this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Concise Encyclopaedia Of Bioinformatics And Computational Biology
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Author : John M. Hancock
language : en
Publisher: John Wiley & Sons
Release Date : 2014-06-02
Concise Encyclopaedia Of Bioinformatics And Computational Biology written by John M. Hancock and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-02 with Science categories.
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.
Emerging Trends In Applications And Infrastructures For Computational Biology Bioinformatics And Systems Biology
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Author : Hamid R Arabnia
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-03-25
Emerging Trends In Applications And Infrastructures For Computational Biology Bioinformatics And Systems Biology written by Hamid R Arabnia and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-25 with Computers categories.
Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems. The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge. The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. - Explores all the latest advances in this fast-developing field from an applied perspective - Provides the only coherent and comprehensive treatment of the subject available - Covers the algorithm development, software design, and database applications that have been developed to foster research