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| nature bioinformatics: Proteome Informatics Conrad Bessant, 2016-11-15 The field of proteomics has developed rapidly over the past decade nurturing the need for a detailed introduction to the various informatics topics that underpin the main liquid chromatography tandem mass spectrometry (LC-MS/MS) protocols used for protein identification and quantitation. Proteins are a key component of any biological system, and monitoring proteins using LC-MS/MS proteomics is becoming commonplace in a wide range of biological research areas. However, many researchers treat proteomics software tools as a black box, drawing conclusions from the output of such tools without considering the nuances and limitations of the algorithms on which such software is based. This book seeks to address this situation by bringing together world experts to provide clear explanations of the key algorithms, workflows and analysis frameworks, so that users of proteomics data can be confident that they are using appropriate tools in suitable ways. |
| nature bioinformatics: Nature Revealed Edward O. Wilson, 2006-03 Two-time Pulitzer Prize winner Edward O. Wilson is one of the leading biologists and philosophical thinkers of our time. In this compelling collection, Wilson's observations range from the tiny glands of ants to the nature of the living universe. Many of the pieces are considered landmarks in evolutionary biology, ecology, and behavioral biology. Wilson explores topics as diverse as slavery in ants, the genetic basis of societal structure, the discovery of the taxon cycle, the original formulation of the theory of island biogeography, a critique of subspecies as a unit of classification, and the conservation of life's diversity. Each article is presented in its original form, dating from Wilson's first published article in 1949 to his most recent exploration of the natural world. Preceding each piece is a brief essay by Wilson that explains the context in which the article was written and provides insights into the scientist himself and the debates of the time. This collection enables us to share Wilson's various vantage points and to view the complexities of nature through his eyes. Wilson aficionados, along with readers discovering his work for the first time, will find in this collection a world of beauty, complexity, and challenge. |
| nature bioinformatics: Nature Unveiled Barrett Williams, ChatGPT, 2025-03-25 **Unveil the Secrets of Nature's Glow A Journey Through Bioluminescence** Dive into Nature Unveiled, an illuminating exploration of the world's most enchanting natural phenomenon—bioluminescence. This captivating eBook sheds light on the otherworldly marvels of organisms that glow, offering a blend of scientific insight and cultural intrigue. Begin your journey with an introduction to the enchanting glow of nature, uncovering the scientific mysteries behind the magical beauty that only few have witnessed. Discover the genetic symphony involved, as you unravel the evolutionary pathways that have led to the development of this mesmerizing capability across the natural world. From the vast, mysterious expanses of the deep sea to the dense, shadowy forests, explore a spectrum of glowing creatures. Marvel at the ethereal beauty of marine life, such as phytoplankton and deep-sea wonders, and be intrigued by terrestrial illuminations including fireflies and luminous fungi. Step into the realm of cutting-edge technology and see how bioluminescence is revolutionizing fields like biotechnology, enhancing medical diagnostics, and advancing environmental monitoring. Venture into the ecological roles that these glowing beings play, from predator-prey interactions to intricate communication networks. Delve into the cultural and historical significance of bioluminescence, from ancient folklore to its inspiration in modern art and media. Confront the ethical and conservation challenges of preserving these luminous species, and explore the boundaries of genetic modification. Finally, imagine the thrill of witnessing this spectacle firsthand with guidance on the world’s best viewing locations and tips for engaging in responsible tourism. Nature Unveiled invites you to reflect on the immense scientific progress and the awe-inspiring natural wonders that await as you step into a new era of discovery. Whether you're a curious reader or a seasoned nature enthusiast, Nature Unveiled promises to enlighten your understanding and ignite your imagination about the glowing world we live in. Discover the radiant future of natural wonders today. |
| nature bioinformatics: Evolutionary Pathways in Nature John C. Avise, 2006-05-04 Reconstructing phylogenetic trees from DNA sequences has become a popular exercise in many branches of biology, and here the well-known geneticist John Avise explains why. Molecular phylogenies provide a genealogical backdrop for interpreting the evolutionary histories of many other types of biological traits (anatomical, behavioral, ecological, physiological, biochemical and even geographical). Guiding readers on a natural history tour along dozens of evolutionary pathways, the author describes how creatures ranging from microbes to elephants came to possess their current phenotypes. Essential reading for college students, professional biologists and anyone interested in natural history and biodiversity, this book is packed with fascinating examples of evolutionary puzzles from across the animal kingdom; how the toucan got its enormous bill, how reptiles grow back lost limbs and why Arctic fish don't freeze. |
| nature bioinformatics: Discovering Genomics, Proteomics, and Bioinformatics A. Malcolm Campbell, Laurie J. Heyer, 2007 Discovering Genomics is the first genomics text that combines web activities and case studies with a problem-solving approach to teach upper-level undergraduates and first-year graduate students the fundamentals of genomic analysis. More of a workbook than a traditional text, Discovering Genomics, Second Edition allows students to work with real genomic data in solving problems and provides the user with an active learning experience. The companion website at www.aw-bc.com/geneticsplace is regularly updated to keep up with changes to online databases. The Second Edition has been thoroughly revised and updated to incorporate the latest scientific findings on popular topics such as disease-causing organisms and genetic defects. Case study chapters have been placed throughout the book to tie real-life scenarios into the concepts that follow. Two of the book's key pedagogical features, Discovery Questions and Math Minutes, have also been updated and expanded. The interactive companion website has been reprogrammed with JMOL, the latest 3-D software used to view DNA structures. |
| nature bioinformatics: Nature Sir Norman Lockyer, 2008 |
| nature bioinformatics: Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases Bairong Shen, 2013-11-25 The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics. |
| nature bioinformatics: Handbook of Nature-Inspired and Innovative Computing Albert Y. Zomaya, 2006-03-23 As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering. |
| nature bioinformatics: A Nature-Inspired Approach to Cryptology Shishir Kumar Shandilya, Agni Datta, Atulya K. Nagar, 2023-12-14 This book introduces nature-inspired algorithms and their applications to modern cryptography. It helps the readers to get into the field of nature-based approaches to solve complex cryptographic issues. This book provides a comprehensive view of nature-inspired research which could be applied in cryptography to strengthen security. It will also explore the novel research directives such as Clever algorithms and immune-based cyber resilience. New experimented nature-inspired approaches are having enough potential to make a huge impact in the field of cryptanalysis. This book gives a lucid introduction to this exciting new field and will promote further research in this domain. The book discusses the current landscape of cryptography and nature-inspired research and will be helpful to prospective students and professionals to explore further. |
| nature bioinformatics: Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems Kose, Utku, Guraksin, Gur Emre, Deperlioglu, Omer, 2018-03-31 Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies. |
| nature bioinformatics: Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms Dash, Sujata, Tripathy, B.K., Rahman, Atta ur, 2017-08-10 The digital age is ripe with emerging advances and applications in technological innovations. Mimicking the structure of complex systems in nature can provide new ideas on how to organize mechanical and personal systems. The Handbook of Research on Modeling, Analysis, and Application of Nature-Inspired Metaheuristic Algorithms is an essential scholarly resource on current algorithms that have been inspired by the natural world. Featuring coverage on diverse topics such as cellular automata, simulated annealing, genetic programming, and differential evolution, this reference publication is ideal for scientists, biological engineers, academics, students, and researchers that are interested in discovering what models from nature influence the current technology-centric world. |
| nature bioinformatics: Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering Chiong, Raymond, 2009-07-31 Recently, nature has stimulated many successful techniques, algorithms, and computational applications allowing conventionally difficult problems to be solved through novel computing systems. Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, Science, and Engineering provides the latest findings in nature-inspired algorithms and their applications for breakthroughs in a wide range of disciplinary fields. This defining reference collection contains chapters written by leading researchers and well-known academicians within the field, offering readers a valuable and enriched accumulation of knowledge. |
| nature bioinformatics: Microarray Gene Expression Data Analysis Helen Causton, John Quackenbush, Alvis Brazma, 2009-04-01 This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression. Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly Short, concise text on this difficult topic area Clear illustrations throughout Written by well-known teachers in the subject Provides insight into how to analyse the data produced from microarrays |
| nature bioinformatics: Bioinformatics Andrzej Polanski, Marek Kimmel, 2007-05-11 Bioinformatics as a discipline arose out of the need to introduce order into the massive data sets produced by the new technologies of molecular biology: large-scale DNA sequencing, measurements of RNA concentrations in multiple gene expression arrays, and new profiling techniques in proteomics. As such, bioinformatics integrates a number of traditional quantitative sciences such as mathematics, statistics, computer science and cybernetics with biological sciences such as genetics, genomics, proteomics and molecular evolution. In this comprehensive textbook, Polanski and Kimmel present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focuson its mathematical and computer science background. |
| nature bioinformatics: Probability's Nature And Nature's Probability - Lite Donald E. Johnson, 2009-10 This is the sequel to the well received Probability's Nature And Nature's Probability which was written in depth for Scientist and Professionals. This new book has the same wonderful foundation, but has been revised and put into layman's terms so anyone can understand it. The author once believed anyone not accepting the proven evolutionary scenario that was ingrained during his science education was of the same mentality as someone believing in a flat earth. With continued scientific investigation, paying closer attention to actual data (rather than speculative conclusions), he began to doubt the natural explanations that had been so ingrained in a number of key areas including the origin and fine-tuning of mass and energy, the origin of life with its complex information content, and the increase in complexity in living organisms. It was science, and not religion, that caused his disbelief in the explanatory powers of undirected nature. The fantastic leaps of faith required to accept the undirected natural causes in these areas demand a scientific response to the scientific-sounding concepts that in fact have no known scientific basis. Scientific integrity needs to be restored so that ideas that have no methods to test or falsify are not considered part of science. Too often possible is used by scientists without considering that possible has a scientific definition within the nature of probability. For example, one should not be able to get away with stating it is possible that life arose from non-life by ... or it's possible that a different form of life exists elsewhere in the universe without first demonstrating that it is indeed possible (non-zero probability) using known science. One could, of course, state it may be speculated that ..., but such a statement wouldn't have the believability that its author intends to convey by the pseudo-scientific pronouncement. This book reviews the many prevalent scenarios that are widely accepted, but need closer examination of their scientific validity. It will also examine the scientific validity of Intelligent Design (ID) as a model that can be empirically detected and examined. For example, the book uses known science (including Shannon and Functional information principles) to prove that it is impossible (zero probability) for life's complex information system to have an undirected natural source. The usefulness of the ID model for furthering scientific inquiry is also analyzed. One chapter is devoted to exposing fallacies, presuppositions, and beliefs that attempt to prevent acceptance of ID as science. |
| nature bioinformatics: Molecular Biology - Not Only for Bioinformaticians Wiesława Widłak, 2013-12-05 Bioinformatics, which can be defined as the application of computer science and information technology to the field of biology and medicine, has been rapidly developing over the past few decades. It generates new knowledge as well as the computational tools to create that knowledge. Understanding the basic processes in living organisms is therefore indispensable for bioinformaticians. This book addresses beginners in molecular biology, especially computer scientists who would like to work as bioinformaticians. It presents basic processes in living organisms in a condensed manner. Additionally, principles of several high-throughput technologies in molecular biology, which need the assistance of bioinformaticians, are explained from a biological point of view. It is structured in the following 9 chapters: cells and viruses; protein structure and function; nucleic acids; DNA replication, mutations, and repair; transcription and posttranscriptional processes; synthesis and posttranslational modifications of proteins; cell division; cell signaling pathways; and high-throughput technologies in molecular biology. |
| nature bioinformatics: Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2016-07-26 As technology continues to become more sophisticated, mimicking natural processes and phenomena also becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for man-made computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Computing: Concepts, Methodologies, Tools, and Applications takes an interdisciplinary approach to the topic of natural computing, including emerging technologies being developed for the purpose of simulating natural phenomena, applications across industries, and the future outlook of biologically and nature-inspired technologies. Emphasizing critical research in a comprehensive multi-volume set, this publication is designed for use by IT professionals, researchers, and graduate students studying intelligent computing. |
| nature bioinformatics: The Nature of Nutraceuticals Rajesh K. Kesharwani, Prashant Kumar, Raj K. Keservani, 2025-03-20 This new book provides a comprehensive overview of the health benefits of various natural sources such as fruits, vegetables, herbs, and spices. It covers multiple topics, including the history of nutraceuticals, their advantages and disadvantages, and the various nutrients found in natural food sources. The book also provides detailed advice on how to incorporate nutraceuticals into a healthy diet and helpful tips on identifying and purchasing nutraceuticals. This book examines the current state of nutraceuticals, including their development and use in the medical and commercial fields. It also looks at the potential for developing new nutraceuticals in the future. It covers nanotechnology-based nutraceuticals, role of nanotechnology in nutraceuticals, and the use of nanoparticulate delivery system in nutraceuticals. |
| nature bioinformatics: Bioinformatics M. H. Fulekar, 2009-03-24 Bioinformatics, computational biology, is a relatively new field that applies computer science and information technology to biology. In recent years, the discipline of bioinformatics has allowed biologists to make full use of the advances in Computer sciences and Computational statistics for advancing the biological data. Researchers in life sciences generate, collect and need to analyze an increasing number of different types of scientific data, DNA, RNA and protein sequences, in-situ and microarray gene expression including 3D protein structures and biological pathways. This book is aiming to provide information on bioinformatics at various levels. The chapters included in this book cover introductory to advanced aspects, including applications of various documented research work and specific case studies related to bioinformatics. This book will be of immense value to readers of different backgrounds such as engineers, scientists, consultants and policy makers for industry, government, academics and social and private organisations. |
| nature bioinformatics: Nature-Inspired Computing and Optimization Srikanta Patnaik, Xin-She Yang, Kazumi Nakamatsu, 2017-03-07 The book provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application in optimization. The approach is mainly practice-oriented: each bio-inspired technique or algorithm is introduced together with one of its possible applications. Applications cover a wide range of real-world optimization problems: from feature selection and image enhancement to scheduling and dynamic resource management, from wireless sensor networks and wiring network diagnosis to sports training planning and gene expression, from topology control and morphological filters to nutritional meal design and antenna array design. There are a few theoretical chapters comparing different existing techniques, exploring the advantages of nature-inspired computing over other methods, and investigating the mixing time of genetic algorithms. The book also introduces a wide range of algorithms, including the ant colony optimization, the bat algorithm, genetic algorithms, the collision-based optimization algorithm, the flower pollination algorithm, multi-agent systems and particle swarm optimization. This timely book is intended as a practice-oriented reference guide for students, researchers and professionals. |
| nature bioinformatics: Nature-Inspired Optimization Methodologies in Biomedical and Healthcare Janmenjoy Nayak, Asit Kumar Das, Bighnaraj Naik, Saroj K. Meher, Sheryl Brahnam, 2022-11-14 This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes. |
| nature bioinformatics: Barcoding Nature Claire Waterton, Rebecca Ellis, Brian Wynne, 2013-07-18 DNA Barcoding has been promoted since 2003 as a new, fast, digital genomics-based means of identifying natural species based on the idea that a small standard fragment of any organism’s genome (a so-called ‘micro-genome’) can faithfully identify and help to classify every species on the planet. The fear that species are becoming extinct before they have ever been known fuels barcoders, and the speed, scope, economy and ‘user-friendliness’ claimed for DNA barcoding, as part of the larger ferment around the ‘genomics revolution’, has also encouraged promises that it could inspire humanity to reverse its biodiversity-destructive habits. This book is based on six years of ethnographic research on changing practices in the identification and classification of natural species. Informed both by Science and Technology Studies (STS) and the anthropology of science, the authors analyse DNA barcoding in the context of a sense of crisis – concerning global biodiversity loss, but also the felt inadequacy of taxonomic science to address such loss. The authors chart the specific changes that this innovation is propelling in the collecting, organizing, analyzing, and archiving of biological specimens and biodiversity data. As they do so they highlight the many questions, ambiguities and contradictions that accompany the quest to create a genomics-based environmental technoscience dedicated to biodiversity protection. They ask what it might mean to recognise ambiguity, contradiction, and excess more publicly as a constitutive part of this and other genomic technosciences. Barcoding Nature will be of interest to students and scholars of sociology of science, science and technology studies, politics of the environment, genomics and post-genomics, philosophy and history of biology, and the anthropology of science. |
| nature bioinformatics: Nature-inspired Metaheuristic Algorithms Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava, Prem Prakash Vuppuluri, 2025-06-10 This comprehensive text provides practical guidance for implementing nature-inspired algorithms and metaheuristics in real-life scenarios to solve complex optimization problems. It further demonstrates how nature inspired metaheuristic algorithms have the potential to contribute to multiple United Nations sustainable development goals such as climate action, clean energy, and sustainable cities. This book: Discusses load balancing and demand response using nature-inspired optimization techniques Presents energy-efficient routing and scheduling, energy management, and optimization using metaheuristic algorithms Covers disease diagnosis, and prognosis using metaheuristic algorithms, drug discovery, and development using nature-inspired optimization techniques Explains waste reduction and recycling, image processing, and computer vision using nature-inspired optimization techniques Illustrates medical image analysis and segmentation using Ant Colony optimization, and Particle Swarm optimization techniques Nature-inspired Metaheuristic Algorithms is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology. |
| nature bioinformatics: Evolutionary Bioinformatics Donald R. Forsdyke, 2010-11-11 Books on bioinformatics which began appearing in the mid 80s primarily served gene-hunters, and biologists who wished to construct family trees showing tidy lines of descent. Given the great pharmaceutical industry interest in genes, this trend has continued in most subsequent texts. These deal extensively with the exciting topic of gene discovery and searching databases, but hardly consider genomes as information channels through which multiple forms and levels of information, including genic information, have passed through the generations. |
| nature bioinformatics: Nature-Inspired Methods for Smart Healthcare Systems and Medical Data Ahmed M. Anter, Mohamed Elhoseny, Anuradha D. Thakare, 2023-12-01 This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimization in various smart healthcare contexts. The book also discusses the capability of optimization techniques to obtain optimal parameters in ML and DL technologies. It provides an open platform for academics and engineers to share their unique ideas and investigate the potential convergence of existing systems and advanced metaheuristic algorithms. The book's outcome will enable decision-makers and practitioners to select suitable optimization approaches for scheduling patients in crowded environments with minimized human errors. The healthcare system aims to improve the lives of disabled, elderly, sick individuals, and children. IoT-based systems simplify decision-making and task automation, offering an automated foundation. Nature-inspired metaheuristics and mining algorithms are crucial for healthcare applications, reducing costs, increasing efficiency, enabling accurate data analysis, and enhancing patient care. Metaheuristics improve algorithm performance and address challenges in data mining and ML, making them essential in healthcare research. Real-time IoT-based healthcare systems can be modeled using an IoT-based metaheuristic approach to generate optimal solutions. Metaheuristics are powerful technologies for optimization problems in healthcare systems. They balance exact methods, which guarantee optimal solutions but require significant computational resources, with fast but low-quality greedy methods. Metaheuristic algorithms find better solutions while minimizing computational time. The scientific community is increasingly interested in metaheuristics, incorporating techniques from AI, operations research, and soft computing. New metaheuristicsoffer efficient ways to address optimization problems and tackle unsolved challenges. They can be parameterized to control performance and adjust the trade-off between solution quality and resource utilization. Metaheuristics manage the trade-off between performance and solution quality, making them highly applicable to real-time applications with pragmatic objectives. |
| nature bioinformatics: Bioinformatics and Phylogenetics Tandy Warnow, 2019-04-08 This volume presents a compelling collection of state-of-the-art work in algorithmic computational biology, honoring the legacy of Professor Bernard M.E. Moret in this field. Reflecting the wide-ranging influences of Prof. Moret’s research, the coverage encompasses such areas as phylogenetic tree and network estimation, genome rearrangements, cancer phylogeny, species trees, divide-and-conquer strategies, and integer linear programming. Each self-contained chapter provides an introduction to a cutting-edge problem of particular computational and mathematical interest. Topics and features: addresses the challenges in developing accurate and efficient software for the NP-hard maximum likelihood phylogeny estimation problem; describes the inference of species trees, covering strategies to scale phylogeny estimation methods to large datasets, and the construction of taxonomic supertrees; discusses the inference of ultrametric distances from additive distance matrices, and the inference of ancestral genomes under genome rearrangement events; reviews different techniques for inferring evolutionary histories in cancer, from the use of chromosomal rearrangements to tumor phylogenetics approaches; examines problems in phylogenetic networks, including questions relating to discrete mathematics, and issues of statistical estimation; highlights how evolution can provide a framework within which to understand comparative and functional genomics; provides an introduction to Integer Linear Programming and its use in computational biology, including its use for solving the Traveling Salesman Problem. Offering an invaluable source of insights for computer scientists, applied mathematicians, and statisticians, this illuminating volume will also prove useful for graduate courses on computational biology and bioinformatics. |
| nature bioinformatics: Bioinformatics Research and Development Sepp Hochreiter, Roland Wagner, 2007-05-21 This book constitutes the refereed proceedings of the First International Bioinformatics Research and Development Conference, BIRD 2007, held in Berlin, Germany in March 2007. The 36 revised full papers are organized in topical sections on microarray and systems biology and networks, medical, SNPs, genomics, systems biology, sequence analysis and coding, proteomics and structure, databases, Web and text analysis. |
| nature bioinformatics: Official Gazette of the United States Patent and Trademark Office , 2006 |
| nature bioinformatics: Biotech Revolution: Harnessing Nature's Toolbox for Human Advancement Beatrice K. Moe, 2024-10-24 Biotech Revolution: Harnessing Nature's Toolbox for Human Advancement is a comprehensive guide that delves into the exciting and rapidly evolving field of biotechnology. This book introduces readers to the fundamental principles, applications, and ethical considerations of biotechnology, without using the word chapter throughout its content. From its insightful introduction, readers will gain a solid overview of biotechnology's concepts, history, and its vital role in advancing various fields. They will then be taken on a journey through the basic principles of biotechnology, exploring the fascinating world of genetic engineering, recombinant DNA technology, and gene editing techniques. As readers delve further into the book, they will discover the multitude of applications biotechnology has in various industries. From the production of biopharmaceuticals and biofuels to the use of industrial enzymes, the potential of this field is truly astounding. With its focus on agricultural biotechnology, readers will also gain insight into genetically modified organisms, crop improvement techniques, and biological pest control methods, all of which play a significant role in meeting the challenges of food production and environmental sustainability. The book then ventures into the realms of bioremediation and environmental biotechnology, shedding light on biodegradation processes, waste treatment technologies, and environmental remediation methods that can help combat pollution and restore our ecosystems. Readers will also explore the profound impact of biotechnology in medical science, with a comprehensive look at diagnostic tools, therapeutic applications, and regenerative medicine. In addition, the book covers the influence of biotechnology in food and nutrition, forensics and DNA analysis, as well as the ethical and legal issues inherent in this field. It also explores the future trends and emerging technologies in biotechnology, including nano-biotechnology, synthetic biology, and stem cell research. Moreover, readers will discover the application of biotechnology in conservation and biodiversity, veterinary science, energy production, space exploration, artificial intelligence integration, public perception and communication, entrepreneurship and startups, education and research, global challenges like food security and climate change mitigation, and even the potential for human enhancement. Biotech Revolution: Harnessing Nature's Toolbox for Human Advancement is a must-have for anyone interested in the possibilities and implications of biotechnology. With its comprehensive coverage of this revolutionary field, it provides a valuable resource for researchers, educators, entrepreneurs, and policymakers alike. This book is available for purchase on various e-commerce platforms. |
| nature bioinformatics: Fundamentals of Bioinformatics and Computational Biology Gautam B. Singh, 2014-09-24 This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolboxTM. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today’s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology. |
| nature bioinformatics: Principles of Psychiatric Genetics John I. Nurnberger, Wade Berrettini, 2012-09-13 A comprehensive, up-to-date resource providing information about genetic influences on disorders of behavior. |
| nature bioinformatics: Advances in Nature-Inspired Computing and Applications Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar, 2018-08-29 This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing. |
| nature bioinformatics: Mendel's Ark Amy Lynn Fletcher, 2014-09-19 Does extinction have to be forever? As the global extinction crisis accelerates, conservationists and policy-makers increasingly use advanced biotechnologies such as reproductive cloning, polymerase chain reaction (PCR) and bioinformatics in the urgent effort to save species. Mendel's Ark considers the ethical, cultural and social implications of using these tools for wildlife conservation. Drawing upon sources ranging from science to science fiction, it focuses on the stories we tell about extinction and the meanings we ascribe to nature and technology. The use of biotechnology in conservation is redrawing the boundaries between animals and machines, nature and artifacts, and life and death. The new rhetoric and practice of de-extinction will thus have significant repercussions for wilderness and for society. The degree to which we engage collectively with both the prosaic and the fantastic aspects of biotechnological conservation will shape the boundaries and ethics of our desire to restore lost worlds. |
| nature bioinformatics: Modern Statistics for Modern Biology SUSAN. HUBER HOLMES (WOLFGANG.), Wolfgang Huber, 2018 |
| nature bioinformatics: Nutrition Research Methodologies Julie A. Lovegrove, Leanne Hodson, Sangita Sharma, Susan A. Lanham-New, 2015-01-12 A new book in the acclaimed Nutrition Society Textbook Series, Nutrition Research Methodologies addresses the rapidly advancing field of nutrition research. It covers the diverse methodologies required for robust nutritional research to ensure thorough understanding of key concepts, both for students at undergraduate and postgraduate levels and for scientists working in nutrition research. Combining theory with practical application, Nutrition Research Methodologies addresses both traditional research methods and new technologies, and focuses on a range of complex topics, including energy compensation, nutrient-gene interactions and metabolic adaptation. It also considers statistical issues as well as application of data to policy development. Provides the reader with the required scientific basics of nutrition research in the context of a systems and health approach Written specifically to meet the needs of individuals involved in nutrition research Combines the viewpoints of world-leading nutrition experts from academia and research with practical applications Accompanied by a companion website with a range of self-assessment material (www.wiley.com/go/lovegrove/nutritionresearch) |
| nature bioinformatics: Cancer RNome: Nature & Evolution Mansi Arora, Deepak Kaul, 2018-11-02 In the last decade, researchers working in the field of cancer biology have shifted their focus from genetic defects to epigenetic dysregulation, especially that of non-coding RNAs (ncRNAs). This book encompasses a comprehensive review of the transcriptional landscape of the cell and its involvement in the cancer pathophysiology. The first two chapters elucidate the basics of biosynthesis, mechanism of action and modulation of the epigenetic regulation of gene expression by coding as well as non-coding RNAs. The third chapter discusses the aberrant expression of the cellular RNome in the cancer cells and highlights its role in the orchestration of processes involved in evolution as well as the sustenance of cancer cells. The fourth chapter describes the recent advances in the field of translating the transcriptome into diagnostic/prognostic biomarkers and as targets for novel anti-cancer therapies. The final chapter then reviews the emerging experimental approaches to screen, identify and explore the functions of ncRNAs. Providing valuable insights into the field of RNome in the context of cancer, this book is helpful to students, researchers and clinicians.. |
| nature bioinformatics: Index Medicus , 2004 Vols. for 1963- include as pt. 2 of the Jan. issue: Medical subject headings. |
| nature bioinformatics: Teacher Emotions Matter: Nature, Antecedents, and Effects Junjun Chen, Hongbiao Yin, Anne Christiane Frenzel, 2021-01-05 |
| nature bioinformatics: Genomics, Circuits, and Pathways in Clinical Neuropsychiatry Thomas Lehner, Bruce L. Miller, Matthew W. State, 2016-06-07 This foundational work comprehensively examines the current state of the genetics, genomics and brain circuitry of psychiatric and neurological disorders. It consolidates discoveries of specific genes and genomic regions associated with these conditions, the genetic and anatomic architecture of these syndromes, and addresses how recent advances in genomics are leading to a reappraisal of the biology underlying clinical neuroscience. In doing so, it critically examines the promise and limitations of these discoveries toward treatment, and to the interdisciplinary nature of understanding brain and behavior. Coverage includes new discoveries regarding autism, epilepsy, intellectual disability, dementias, movement disorders, language impairment, disorders of attention, schizophrenia, and bipolar disorder. Genomics, Circuits, and Pathways in Clinical Neuropsychiatry focuses on key concepts, challenges, findings, and methods in genetics, genomics, molecular pathways, brain circuitry, and related neurobiology of neurologic and psychiatric disorders. - Provides interdisciplinary appeal in psychiatry, neurology, neuroscience, and genetics - Identifies key concepts, methods, and findings - Includes coverage of multiple disorders from autism to schizophrenia - Reviews specific genes associated with disorders - Discusses the genetic architecture of these syndromes - Explains how recent findings are influencing the understanding of biology - Clarifies the promise of these findings for future treatment |
| nature bioinformatics: Structural Bioinformatics Jenny Gu, Philip E. Bourne, 2011-09-20 Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more. Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields. Praise for the previous edition: This book is a gold mine of fundamental and practical information in an area not previously well represented in book form. —Biochemistry and Molecular Education ... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students. —BAMBED ...a useful and timely summary of a rapidly expanding field. —Nature Structural Biology ...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue. —Briefings in Bioinformatics |
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