Computational biology / bioinformatics Books
Springer International Publishing AG Microbiota from the Late Cretaceous-Early
Book SynopsisThis book describes the microbiota of the intertrappean beds in the Chhindwara District, Madhya Pradesh, India. In this work, special emphasis is placed on the microbiota from the Late Cretaceous-Early Palaeocene transition of the central Narmada River region. Recently, the intertrappean beds of the Eastern Deccan Volcanic Province (one of the subprovinces of the Deccan Volcanic Province) have received considerable attention, which resulted in the addition of some significant biotic assemblages to the existing record from the Dindori-Chhindwara area of the province. The biotic assemblages include charophytes, ostracods, foraminiferans, fishes, frogs, lizards, turtles, crocodiles, and mammals. In spite of the recent discoveries, the known fossil record of the Late Cretaceous-Early Palaeocene biota of India is not sufficient and thus does not permit us to speculate on the possible impact of environmental changes triggered by the Deccan volcanic lava flows on the contemporary biota and to precisely document their palaeoecologic, palaeoenvironmental and palaeobiogeographic implications. The recent biotic reports from the intertrappean beds exposed in the Chhindwara region of the Eastern Deccan Volcanic Province clearly indicate that these beds have a vast potential in terms of fossil content, which could reveal new and dissimilar biotic remains when compared to the Western Deccan Volcanic Province. The record of diverse accumulations of freshwater charophytes, brackish to freshwater ostracods, and planktic foraminiferal and fish assemblages from the intertrappean beds of Jhilmili and adjacent areas of Early Danian (P1a) age and lying just north of Chhindwara town and in the heart of peninsular India has intriguing implications for defining the age limits of the basaltic flows. The occurrence of non-marine taxa, for example, algae, molluscs, and vertebrates, associated with brackish water ostracods in the nearby Singpur and Mohgaon Kalan localities of the Chhindwara region, has also raised concerns about the sedimentary environments of these intertrappean beds. The new finds (presented in this book) prove useful for the better understanding of the palaeoecology and palaeoenvironment of the biota and also throw light on various paleobiogeographic models proposed for the northward drifting Indian plate. The microbiotic assemblages of the intertrappean beds of the eastern Deccan volcanic province at District Chhindwara, Madhya Pradesh are documented in this book. The microbiota of the central Narmada River region, the charophytes, ostracods, planktic foraminifera, and fishes, receive special attention in this study.Table of ContentsChapter1. Introduction to Indian Late Cretaceous-Early Palaeocene Microbiota from the Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India.- Chapter 2. Historical Background of Late Cretaceous-Early Palaeocene Microbiotic Assemblages from the Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India.- Chapter 3. Geology and Stratigraphy of Microbiota-Bearing Deccan Intertrappean Beds of the Chhindwara District, Madhya Pradesh, India.- Chapter 4. Indian Late Cretaceous-Early Palaeocene Deccan Microbiota from Chhindwara District, Madhya Pradesh: Systematic Studies.- Chapter 5 Palaeoecological and Palaeoenvironmental Implications of the Cretaceous-Palaeogene Microbiota-Bearing Deccan Intertrappean beds of the Chhindwara District, Madhya Pradesh, India.- Chapter 6. Palaeobiogeographical Implications of Late Cretaceous-Early Palaeocene Microbiota from the Deccan Intertrappean beds of the Chhhindwara District, Madhya Pradesh, India.
£104.49
Springer International Publishing AG Recent Contributions to Bioinformatics and
Book SynopsisThis book presents a collection of high-quality research papers, presented at the Second International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2022). It offers a comprehensive look into some of the fastest growing fields of science, such as biomedicine, bioinformatics, artificial intelligence, and mathematical modeling. The different chapters of the work include both practical solutions and strictly scientific considerations expanding knowledge about the future bioinformatics and biomedical engineering challenges. We believe that the presented works will have a great impact not only on the development and the application of new methods for modeling, decision making and data mining in healthcare and biomedicine, but also it will provide a source of inspiration for researchers who can implement the proposed methods into their practice and scientific studies. Table of ContentsRhythm Analysis during Cardio-pulmonary Resuscitation with Convolutional and Recurrent Neural Networks Using ECG and Optional Impedance Input.- Parallel Technique on Bidirectional Associative Memory Cohen-Grossberg Neural Network.- Prediction of the Granulometric Composition of the Silt Loading on Transport Arteries in the City of Burgas Based on Artificial Neural Networks.- Emotion Recognition Using Convolutional Neural Network.- An Intuitionistic Fuzzy Estimation Approach to Magnetic Resonance Imaging.- Bioinformatics and Biostatistical Models for Analysis and Prognosis of Antimicrobial Resistance.- Lipid Order of Membranes Isolated from Erythrocytes of Patients with Coronary Artery Disease: Correlation with Biochemical Parameters.- Stress Response of Gram-positive and Gram-negative Bacteria Induced by Metal and Non-Metal Nanoparticles. In Search of Smart Antimicrobial Agents.- Generalized Net Model of Rehabilitation Algorithm for Patients with Proximal Humeral Fracture after Surgical Treatment.- A Generalized Net Model of Time-Delay Recurrent Neural Networks with the Stochastic Gradient Descent and Dropout Algorithm.
£132.99
Springer International Publishing AG Systems Biology: Functional Strategies of Living
Book SynopsisThis open-access textbook is an excellent introduction to systems biology, which has developed rapidly in recent years. It discusses the processes in living organisms in an integrated way, enabling the reader to understand the fundamental principles and cause-effect relationships in biology and biochemistry. The authors have chosen an original but at the same time clear way of presenting the topics, repeatedly drawing comparisons and models from the macroscopic world and making the reader aware of the unity of the laws of physics, chemistry and biology. The fully updated 2nd edition also contains information that has only become available as a result of the increase in knowledge in recent years. This includes information on tumorigenesis, where significant progress has been made due to the explosive development of genetic knowledge as well as bioengineering with a highly effective technique adopted from the solutions of the bacterial world, such as CRISPR/CAS. This richly illustrated book is essential for postgraduate students and scientists of the following disciplines: biology, biotechnology, medicine, bioinformatics, robotics and automation, biocybernetics, and biomedical engineering. It is also an exciting read for anyone interested in biology. Table of ContentsSee attachments
£33.24
Springer International Publishing AG Bioinformatics and Biomedical Engineering: 10th
Book SynopsisThis volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.
£66.49
Springer International Publishing AG Bioinformatics and Biomedical Engineering: 10th
Book SynopsisThis volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.
£66.49
Springer International Publishing AG Sedentary Behaviour Epidemiology
Book SynopsisThis book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions for tackling it. As a consequence of major technological advances in modern society, many people find themselves in environments characterized by prolonged sedentary behaviour. Building on the contributions of leading experts in the field, the new edition of this book presents updated knowledge about sedentary behaviour, its medical and public health significance, its correlates and determinants, measurement techniques, and recommendations for addressing this behaviour at the individual, community, environmental, and policy level. The book encompasses current research linking the COVID-19 pandemic to increased levels of sedentary behavior, and it covers global and planetary health aspects of sedentary behavior, highlighting sustainable development goals such as health and well-being for all. Applying a cross-disciplinary methodology, the book avoids considering physical activity and sedentary behavior as a single continuum, which potentially hampers progress in confronting widespread levels of sedentariness. Rather, the book helps readers better understand how sedentary and physically active behavior co-occur and how the two behaviours have distinct contributing factors. Building on the contributions of distinguished international experts in the field, this thorough resource is a valuable asset and challenges professionals, researchers, students, and practitioners alike to adopt new strategies and expand their reach.Table of ContentsPart I. Fundamentals of Sedentary Behaviour Epidemiology1. Introduction to Sedentary Behaviour EpidemiologyCarmen Jochem, Daniela Schmid, and Michael F. Leitzmann2. The Descriptive Epidemiology of Sedentary BehaviourHannah Ahrensberg, Christina B. Petersen, Jane Nereah Wesonga Jacobsen, Mette Toftager,and Adrian E. Bauman3. Measurement of Sedentary Behaviour in Population StudiesBarbara Ainsworth, Fabien Riviere, and Alberto Florez-Pregonero4. Analysis and Interpretation of Sedentary Behaviour DataWeimo ZhuPart II. Health Effects of Sedentary Behaviour5. Physiological Responses to Sedentary BehaviourAna J. Pinto, Audrey Bergouignan, and Paddy C. Dempsey6. Genetics of SedentarinessYahua Zi, Hidde P. van der Ploeg, and Eco J.C. de Geus7. Sedentary Behaviour, Diabetes, and the Metabolic SyndromeJoseph Henson, Charlotte L. Edwardson, Paddy C. Dempsey, Melanie J. Davies, and ThomasYates8. Sedentary Behaviour and Cardiovascular DiseaseEmmanuel Stamatakis, Leandro F.M. Rezende, and Juan Pablo Rey-Lopez9. Sedentary Behaviour and CancerChristopher T.V. Swain, Terry Boyle, Shahid Mahmood, and Brigid M. Lynch10. Sedentary Behaviour and DepressionMark Hamer and Lee Smith11. Sedentary Behaviour and AdiposityCarmen Jochem, Daniela Schmid, and Michael F. Leitzmann12. Sedentary Behaviour and Psychosocial Health Across the Life CourseLee Smith and Mark Hamer13. Sedentary Behaviour and AgeingDawn A. Skelton, Juliet A. Harvey, Calum F. Leask, and Jennifer Scott14. Sedentary Behaviour and MortalityAshleigh R. Homer, and David W. DunstanPart III. Understanding Sedentary Behaviour and Promoting Reductions in Time SpentSedentary15. An Ecological Model for Understanding and Influencing Sedentary BehaviourNyssa T. Hadgraft, David W. Dunstan, and Neville Owen16. Sedentary Behaviour at the Individual Level: Correlates, Theories, and InterventionsStuart J.H. Biddle17. Specific Interventions Targeting Sedentary Behaviour in Children and AdolescentsJo Salmon, Harriet Koorts, Lauren Arundell, and Anna Timperio18. Workplace Programs Aimed at Limiting Occupational SittingGenevieve N. Healy, Samantha K Stephens, and Ana D. Goode19. Approaches to Decrease Sedentary Behaviour Among the ElderlyAnn M. Swartz and Whitney A. Welch20. Interventions Directed at Reducing Sedentary Behaviour in Persons with Pre-existingDisease or DisabilityStephanie A. Prince21. Specific Approaches to Reduce Sedentary Behaviour in Persons with Overweight/ObesityKatherine E. DeVivo, Dori E. Rosenberg, Sara H. Marchese, and Christine A. Pellegrini22. Programmes Targeting Sedentary Behaviour Among Ethnic Minorities and ImmigrantsMelicia C. Whitt-Glover, Amanda A. Price, and Breana Odum23. Sedentary Behaviour at the Community Level: Correlates, Theories, and InterventionKrista S. Leonard, Sarah L. Mullane, Mark A. Pereira, and Matthew P. Buman24. Sedentary Behaviour and the Social and Physical EnvironmentTrish Gorely, Simone A Tomaz, and Gemma C. Ryde25. Targeting Sedentary Behaviour at the Policy LevelAnthony D. Okely, Megan Hammersley, and Salome Aubert26. Dynamics of Sedentary Behaviours and Systems-Based Approach: Future Challenges andOpportunities in the Life Course Epidemiology of Sedentary BehavioursSebastien F.M. Chastin, Sofie Compernolle, Marieke De Craemer, Jean-Michel Oppert, andGreet Cardon27. From a Public to a Global and Planetary Health Perspective on Sedentary BehaviourEpidemiologyCarmen Jochem, Michael Leitzmann28. Ergonomic Support for Physiologically Correct SittingJoachim Grifka29. Limitations in Sedentary Behaviour Research and Future Research NeedsDaniela Schmid, Carmen Jochem, and Michael F. Leitzmann
£157.95
Springer International Publishing AG Advances in Bioinformatics and Computational
Book SynopsisThis book constitutes the proceedings of the 16th Brazilian Symposium on Bioinformatics on Advances in Bioinformatics and Computational Biology, BSB 2023, which took place in Curitiba, Brazil, in June 2023. The 11 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 24 submissions. The papers focus on bioinformatics, computational biology, Biological Databases, Biological Networks, Cheminformatics, Evolutionary Genomics, Computational Proteomics, Systems Biology, Drug Design, Genomics, Machine Learning applications in Bioinformatics, Metagenomics, Molecular Docking and Modeling, Molecular Evolution and Phylogenetics, Protein Structure and Modeling, Proteomics, Transcriptomics, Single-Cell Analysis, Workflows in Bioinformatics. Table of ContentsBlock Interchange and Reversal Distance on Unbalanced Genomes.- circTIS: a weighted degree string kernel with support vector machine tool for translation initiation sites prediction in circRNA.- Evaluating the molecular-electronic structure and the antiviral effect of functionalized heparin on graphene oxide through ab initio computer simulations and molecular docking.- Make No Mistake! Why Do Tools Make Incorrect Long Non-Coding Rna Classification?.- Spectrum-Based Statistical Methods for Directed Graphs with Applications in Biological Data.- Feature Selection Investigation in Machine Learning Docking Scoring Functions.- Using natural language processing for context identification in COVID-19 literature.- A framework for inference and selection of cell signaling pathway dynamic models.- Intentional Semantics for Molecular Biology.- transcAnalysis: A Snakemake Pipeline for Differential Expression and Post-Transcriptional Modification Analysis.- Peptide-protein interface classification using convolutional neural networks.- A Power Law Semantic Similarity from Gene Ontology.- Gene Networks Inference by Reinforcement Learning Approach.- Exploring Identifiability in Hybrid Models of Cell Signaling Pathways.
£42.74
Springer International Publishing AG Bio-inspired Information and Communications
Book SynopsisThis book constitutes the refereed conference proceedings of the 14th International Conference on Bio-inspired Information and Communications Technologies, held in Okinawa, Japan, during April 11-12, 2023. The 17 full papers were carefully reviewed and selected from 33 submissions. The papers focus on the latest research that leverages the understanding of key principles, processes, and mechanisms in biological systems for development of novel information and communications technologies (bio-inspired ICT). BICT 2023 will also highlight innovative research and technologies being developed for biomedicine that are inspired by ICT (ICT-inspired biomedicine).Table of ContentsElectromagnetic-induced Calcium signal with network coding for molecular communications.- Smart Farm Teaching Aids based on STEM concepts.- Reinforcement Learning for Multifocal Tumour Targeting.- Automatic Soil Testing Device for Agriculture.- A Novel Visualization Method of Vessel Network for tumour Targeting: A Vessel Matrix Approach.- Heterogeneous Group of Fish Response to Escape Reaction.- Modeling and Simulation of a Bio-inspired Nanorobotic Drug Delivery System.- Cooperative Relaying in Multi-Hop Mobile Molecular Communication via Diffusion.- Covid-19 Versus Monkeypox-2022: The Silent Struggle of Global Pandemics.- Monte Carlo Simulation of Arbitrium and the Probabilistic Behavior of Bacteriophages.- Instant Messaging Application for 5G Core Network.- Genetic Algorithm-based Fair Order Assignment Optimization of Food Delivery Platform.- Preliminary Considerations on Non-Invasive Home-Based Bone Fracture Healing Monitoring.- Features of Audio Frequency Content of Respiration to Distinguish Inhalation from Exhalation.- Management of the medical file in case of emergency.- A Novel Durable Fat Tissue Phantom for Microwave Based Medical Monitoring Applications.- ISI Mitigation with Molecular Degradation in Molecular Communication.- Signal Transmission Through Human Body Via Human Oxygen Saturation Detection.- Simple ISI-Avoiding and Rate-Increasing Modulation for Diffusion-base Molecular Communications.- Range Expansion in Neuro-spike Synaptic Communication: Error Performance Analysis.- [Extended Abstract] Collective Bio-nanomachine Rotation via Chemical and Physical Interactions: A Three- dimensional Model.- Wearable Vibration Device to Assist with Ambulation for the Visually Impaired.- Development of Capacitive Sensors to Detect and Quantify Fluids in the Adult Diaper.- Energy Cyber Attacks to Smart Healthcare Devices: A Testbed.- [Extended Abstract] Wet-laboratory Experiments and Computer Simulation of Interacting Cell Spheroids.- Ensembles of Heuristics and Computational Optimisation In Highly Flexible Manufacturing System.- A Intelligent Nanorobots Fish Swarm Strategy for Tumor Targetting.- [Extended abstract] Design and Implementation of A General-purpose Multicellular Molecular Communication Simulator.
£61.74
De Gruyter Fitness Landscape, Red Queen, Evolutionary
Book SynopsisThis two-volume work focuses on the mathematical aspects of Darwinian evolution starting from the basic model of stochastic evolution of a single isolated locus in the presence of mutation to the multi–locus models of sexual and asexual populations. Volume 2 discusses the inference of fi tness landscape from DNA sequence data, discovery of the evolutionary roles of enygmatic traits, co-evolution of adversarial species, and various applications to virus evolution.
£155.50
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Mathematik in der Biologie
Book SynopsisDer Autor steigt über biologische Fragestellungen in die Mathematik ein und stellt kurz, knapp und dennoch umfassend die mathematischen Grundlagen dar, die für Biologen relevant sind. Zu Beginn jedes Kapitels wird anhand einfacher Beispiele erläutert, wie ein mathematisches Modell überhaupt entsteht. Der Stoff ist so aufbereitet, dass die Schulmathematik als Voraussetzung ausreicht. Das neu angeeignete Wissen kann anhand von Übungsaufgaben (mit Lösungen) erprobt werden.Trade ReviewAus den Rezensionen: "In dem vom Springer-Verlag veröffentlichten Buch ‘Mathematik in der Biologie‘ gibt Erich Bohl einen detaillierten Einblick in die Bereiche der Mathematik, die für Biologen erforderlich und interessant sind. … Insgesamt verfügt das Buch über eine fachlich detaillierte Abhandlung wichtiger Themengebiete, die vor allem durch die Verwendung ausschließlich praktischer Beispiele sehr anschaulich und somit verständlich erklärt werden. Ebenfalls positiv sind zahlreiche Aufgaben inklusive Lösungen für das jeweilige Kapitel, die auch zur Übung beitragen …" (in: Ersti-Heft Fachschaft Uni Potsdam, Wintersemester 07/08, S. 31) "… Wie im Buchtitel geht es um Mathematik in der Biologie und nicht außerhalb. Bohls Mathematik geht von Beobachtungen der belebten Natur aus und möchte den Bioforschern helfen, ihre Experimente auszuwerten. Das Buch ist … ein Lehrbuch im klassischen Sinne. Mit ihm, einem Taschenrechner, einem Stift und einem Blatt Papier bekommt man eine gute Einführung in die für Biologen wichtigen mathematischen Grundlagen." (Ralph Schill, in: Laborjournal, 2008, Issue 9, S. 84 f.)Table of ContentsWarum verwendet ein Biologe eigentlich Mathematik?.- Grundbestandteile mathematischer Modellierung.- Evolutionen: Skalare Differentialgleichungen erster Ordnung.- Beschreibung von Vorgängen mit mehr als einer unabhängigen Variablen.- Rekonstruktion von Funktionen aus Zahlenpaaren: Lineare Datenanpassung.- Interaktionen zweier Populationen.- Lösungen der Übungsaufgaben.
£26.59
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Springer Handbook of Bio-/Neuro-Informatics
Book SynopsisThe Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences.With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.Trade ReviewFrom the book reviews:“This handbook is structured in 12 parts, covering a wide variety of notions associated with bio- and neuroinformatics … . The handbook is a valuable and timely resource, which can be used by undergraduates, postgraduates and established researchers. By presenting together a variety of (linked) approaches, it provides a fantastic source for bioinformaticians and neuroinformaticians alike.” (Irina Ioana Mohorianu, zbMATH, Vol. 1304, 2015)“This is the very best of the encyclopedias and comprehensive book’s about both Medical, Molecular, Genetic, and Neural Informatics currently available. … this is a good textbook for graduate students as a Primer on Neurophysiology and Molecular Medicine. Professionals in these areas will find this book very useful in their daily work … . book is very well referenced at the end of each chapter discussion. … I am pleased to recommend this book to new researchers in the field.” (Joseph J. Grenier, Amazon.com, November, 2014)Table of ContentsChap. 1 Understanding Nature - Symbiosis of Information Science, Bioinformatics and NeuroinformaticsPart A Understanding Information Processes in Biological Systems (Ed. Heike Sichtig)Chap. 2 Information Processing at the Cellular Level.- Chap. 3 Integrated Approaches for Understadning the Cell.- Chap. 4 Information Processing at the Genomics Level.- Chap. 5 Understanding Information Processes at the Proteomics Level.- Chap. 6 Pattern Formation and Animal Morphogenesis.- Chap. 7 Understanding Evolving Bacteria ColoniesPart B Molecular Biology, Genome and Proteome Informatics (Ed.: Chris Brown)Chap. 8 Exploring Interactions and Structural Organization of Genomes.- Chap. 9 Detecting microRNA Signatures Using Gene Expression Analysis.- Chap. 10 Bioinformatics Methods to Discover Cis-Regulatory Elements.- Chap. 11 Protein Modeling and Structural PredictionPart C Machine-Learning Methods (Eds: Irwin King, Kaizhu Huang, Heike Sichtig)Chap. 12 Machine Learning Methodology in Bioinformatics.- Chap. 13 Case-Based Reasoning for Biomedical Informatics and Medicine.- Chap. 14 Analysis of Multiple DNA Microarray Datasets.- Chap. 15 Fuzzy Logic and Rule-Based Methods in Bioinformatics.- Chap. 16 Phylogenetic Cladograms: Understanding and Learning from Biomedical Data.- Chap. 17 Understanding Protein Folding Modeling.- Chap. 18 Kernel Methods and Applications in BioinformaticsPart D Modeling Regulatory Networks: The Systems Biology Approach (Eds: Chris Brown, Heike Sichtig, Irwin King, Kaizhu Huang, Francesco Masulli)Chap. 19 Path Finding in Biological Networks.- Chap. 20 Inferring Transcription Networks from Data.- Chap. 21 Analysis of Transcriptional Regulation.- Chap. 22 Inferring Genetic Networks.- Chap. 23 Structural Pattern Discovery.- Chap. 24 Molecular Networks - Representation and Analysis.- Chap. 25 Whole-Exome Sequencing DataPart E Bioinformatics Databases and Ontologies (Ed.: Francesco Masulli)Chap. 26 Bioinformatics Databases.- Chap. 27 Ontologies for BioinformaticsPart F Bioinformatics in Medicine, Health and Ecology (Eds: Francesco Masulli, Danilo Mandic)Chap. 28 Statistical Signal Processing Models And Methods.- Chap. 29 Epigenetics.- Chap. 30 Control of Autoimmune Diseases.- Chap. 311 Nutrigenomics.- Chap. 32 Bioinformatics and Nanotechnologies: Nanomedicine.- Chap. 33 Information Modeling Technologies for Personalized Medicine.- Chap. 34 Health Informatics.- Chap. 35 Ecological Informatics Part G Understanding Information Processes in the Brain and the Nervous System (Ed.: Heike Sichtig)Chap. 36 Information Processing in Synapses.- Chap. 37 Spiking Neural Networks.- Chap. 38 Statistical Methods for fMRI Activation Detection.- Chap. 39 Neural Circuit Models and Neuropathological Oscillations.- Chap. 40 Understanding the Brain via fMRI ClassificationPart H Advanced Signal-Processing Methods for Brain Signal Analysis and Modeling (Ed.: Danilo Mandic)Chap. 41 Nonlinear Adaptive Filtering in Kernel Spaces.- Chap. 42 Analysis of Multiple Spike Trains.- Chap. 43 Adaptive Multiscale Time-Frequency AnalysisPart I Information Modeling of Perception, Sensation and Cognition (Eds: Lubica Benuskova, Heike Sichtig)Chap. 44 Modeling Vision with the Neocognitron.- Chap. 45 Information Processing in the Gustatory System.- Chap. 46 EEG Signal Processing for Brain Computer Interfaces.- Chap. 47 Spiking Neural Networks.- Chap. 48 Neurocomputational Models of Natural LanguagePart J Neuroinformatics Databases and Ontologies (Eds: Shiro Usui, Raphael Ritz)Chap. 49 Ontologies and Machine Learning Systems .- Chap. 50 Integration of Large-Scale NeuroinformaticsPart K Information Modeling for Brain Diseases (Eds: Lubica Benuskova, Francesco Masulli)Chap. 51 Alzheimer’s Disease.- Chap. 52 Integrating Data for Modeling Biological Complexity.- Chap. 53 A Machine Learning Pipeline .- Chap. 54 Modeling Gene-Dependent Dynamics of Cortex and Epilepsy.- Chap. 55 Information Methods for Predicting Stroke.- Chap. 56 Recognition of Rehabilitation ActionsPart L Nature Inspired Integrated Information Technologies(Eds: Lubica Benuskova, Danilo Mandic)Chap. 57 Brain-Like Robotics.- Chap. 58 Developmental Learning for User Activities.- Chap. 59 Quantum and Biocomputing - Common Notions and Targets.- Chap. 60 Brain-, Gene-, and Quantum-Inspired Computational Intelligence.- Chap. 61 The Brain and Creativity.- Chap. 62 The Allen Brain AtlasAcknowledgements.- About the Authors.- Subject Index
£251.99
Springer Fachmedien Wiesbaden Bioinformatik am Beispiel des SARS-CoV2 Virus und
Book SynopsisIn diesem Buch werden dem Leser einführend zentrale Ansätze der Bioinformatik entsprechend dem Fluss der genetischen Information von der Sequenzanalyse vom Virusgenom und seinen Proteinen über die Strukturvorhersage hin zu komplexeren Analysen (Interaktionen mit dem Wirt, Immunsystem) vorgestellt. Proteinnetzwerke, Metabolismus und Signalkaskaden erlauben dem Virus, eine hochgefährliche Infektion im Menschen zu erzeugen. Die Bioinformatik leistet wertvolle Hilfestellung bei der Diagnose, der Suche nach Behandlungsmöglichkeiten und vor allem bei der Herstellung von Impfstoffen und dem Vorhersehen des Pandemieverlaufs.Der Inhalt Bioinformatik ist einfach und schnell anzuwenden Erste Detailanalysen (Sequenzen, Proteine, Gene) Analyse von Protein-Netzwerken Bioinformatik in der Infektionsbiologie und medizinische Implikationen Bioinformatik und Covid19 – ein globales Phänomen Anhang: Nützliche Webressourcen und Literaturstellen Die Zielgruppen Studenten der Biologie und Medizin, die einen ersten Einblick in die Bioinformatik haben möchten Allgemeines Publikum Table of ContentsBioinformatik ist einfach und schnell anzuwenden.- Erste Detailanalysen.- Analyse von Protein-Netzwerken.- Infektionsbiologie und medizinische Implikationen.- Nachspiel: Wie stark wartet die Welt auf die Ergebnisse der Bioinformatik zu Covid19?.
£11.77
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Understanding Inferential Statistics: From A for Significance Test to Z for Confidence Interval
Book SynopsisWhat actually is a p-value for? And what is a significant result? This book answers such questions by providing a compact introduction to inferential statistics. Our major focus is on the logic of inferential statistics and hypothesis testing: We cover the logic behind statistical tests, we then walk through the most common procedures (t-test, analysis of variance with and without repeated measures, correlation/regression) and discuss pitfalls of data analysis. The book thus helps developing a solid understanding of how common test procedures work, and how to interpret their results correctly. Hands-on examples from everyday research – including exemplary calculations with the programs SPSS and R – supplement each chapter. In addition to classical methods, we briefly discuss recent developments in psychological research methods.This book is a translation of the original German 3rd edition of “Inferenzstatistik Verstehen” by Markus Janczyk and Roland Pfister. It is based on an AI-powered machine translation (by the service DeepL.com), with thorough follow-up editing by both authors.Table of ContentsIntroduction and descriptive statistics.- Basics of inferential statistics 1: random variables.- Basics of inferential statistics 2: population and parameter estimation.- Hypothesis testing and significance.- Difference hypotheses with a maximum of two groups: t-tests. Confidence intervals.- Error types, effect size and power.- Single factor analysis of variance.- Multifactorial analysis of variance.- Analysis of variance with repeated measures.- Correlation hypotheses: Correlation and regression.- Concluding remarks.
£23.51
Birkhauser Verlag AG Transport Equations in Biology
Book SynopsisThis book presents models written as partial differential equations and originating from various questions in population biology, such as physiologically structured equations, adaptive dynamics, and bacterial movement. Its purpose is to derive appropriate mathematical tools and qualitative properties of the solutions. The book further contains many original PDE problems originating in biosciences.Table of ContentsFrom differential equations to structured population dynamics.- Adaptive dynamics; an asymptotic point of view.- Population balance equations: the renewal equation.- Population balance equations: size structure.- Cell motion and chemotaxis.- General mathematical tools.
£39.99
New India Publishing Agency Bioinformatics in Agriculture: Tools and
Book SynopsisThis book delves into various applications and tools of bioinformatics in a range of fields, including agriculture, corals, structural bioinformatics, data mining, text mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, micro-arrays, proteomics, molecular phylogenetics, artificial neural networks, plant systems biology, molecular modeling, homology modeling, bio-efficacy of indigenous bacillus through in-silico approach, and fresh aquaculture and fisheries. It also covers topics such as pesticides and insecticides, database and tool development in relevant areas, and would be of great utility to individuals working in the fields of agricultural biotechnology, bioinformatics, computer science, and applied statistics.
£41.17
New India Publishing Agency Bioinformatics in Agriculture and Allied Sectors:
Book SynopsisThis book focuses on a variety of bioinformatics tools and applications across several fields, including agriculture, corals, structural bioinformatics, data and text mining, medicinal plants, antibiotics, protein structure prediction, drug design, gene expression, microarrays, proteomics, molecular phylogenetics, rough sets for protein structural class prediction, artificial neural networks for predicting amino acid levels, plant systems biology, molecular modeling, homology modeling, bioefficacy of indigenous bacillus through in silico approach, and fresh aquaculture and fisheries. This book would be of value to individuals working in agricultural biotechnology, bioinformatics, computer science, and applied statistics. Rephrased with a formal tone.
£44.16
Birkhauser Verlag AG NMR and NIR-CD studies on lanthanide complexes in
Book SynopsisIn the present thesis we develop new strategies concerning the use of lanthanide cations as spectroscopic probes for the study of molecular structures in solution. A widespread interest for lanthanides is mainly centered in two large fields: organic synthesis and clinical practice. Systems containing lanthanides enjoy a very favorable situation, since these ions feature high coordination numbers, which assure rich binding chemistry, and at the same time they possess the right spectroscopic properties to monitor it. The present thesis develops the potentialities of electronic spectroscopy of lanthanide systems in solution. We point out and overcome the drawbacks which have mainly hampered this kind of study so far, namely: a sensivity problem, an instrumental problem and a calibration problem.
£11.77
Birkhauser Verlag AG A study on the activity-dependent expression of
Book SynopsisSensory experience can dynamically modify both the anatomy and function of the brain. In particular, neurons can modify their connections in response to enviromental stimuli. This process, generally referred to as “neuronal plasticity”, is the basis of learning and memory processes in the brain. Which are the bases of neuronal plasticity? That is, how can environmental factors and sensory experience modify the connections between neurons? Neurotrophic factors of the Nerve Growth Factor (NGF) family are known to finely regulate the development and maintenance of synaptic connections in the PNS. The results obtained by the group of Maffei firstly suggested the hypothesis that neurotrophic factors could play a key role in the plasticity of the mammalian visual system. The purpose of this thesis is to give a general overview about the recent advances in the field of neurotrophine-regulated plasticity of the mammalian visual system.
£14.98
Birkhauser Verlag AG A study on nerve growth factor (NGF) receptor
Book SynopsisNeuronal plasticity is the term generally used to describe a great variety of changes in neuronal structure and functions, in particular activity-dependent, prolonged functional changes, accompanied by corresponding biochemical and possibly morphological alterations. The first insights about neuronal plasticity have been obtained on simple forms of life. Today, many areas in the mammalian central nervous system are under investigation, in particular the cortex and the hippocampus. In these areas, neuronal plasticity is considered to be at the basis of learning and memory. The study of brain plasticity in sensory systems has been particularly fruitful, because these systems can be experimentally manipulated in a very precise manner by changes in the sensory imput.
£10.16
New India Publishing Agency Agro-Informatics
Book SynopsisAgro-informatics is the application in agriculture with innovative ideas, techniques and scientific knowledge to expand the horizons of the Computer Science. The book contains the details about the information technology applied to management and analysis of agricultural data The book covers the diverse areas ranging from artificial intelligence, artificial neural networks, decision support system, expert system, geographic information system, information system related to agriculture, genetic algorithm, programming language with backend tool to develop softwares The book contains fifteen s that highlight and discuss the various dimensions of agro-informatics. It is hoped that the book will provide the basic and fundamental knowledge of understanding the concepts of Bioinformatics. This book is prepared, taking into consideration the changing needs of the undergraduate curricula of various universities involved in offering courses on agro-informatics The book will also be a guide for the researchers The book would also provide the required computer knowledge to the students of State Agricultural Universities and other ICAR Institutions to sharpen their understanding of agro-informatics.Table of Contents01. Introduction to Agroinformatics 02. Agriculture Information System 03. Farm Management System 04. Management Information System 05. Geographic Information System 06. Artificial Intelligence 07. Artificial Neural Networks 08. Expert Systems 09. Decision Support System DSS 10. Genetic Algorithms 11. Programming Language - Visual Basic 12. Database Management System 13 . Agricultural Databases, Technical Report and Conference Reports 14. Web Portal 15. Introduction to Bioinformatics
£67.21
New India Publishing Agency Bioinformatics in Agriculture: Tools and
Book SynopsisThe book deals with various tools and applications of bioinformatics in the fields of: o agriculture, corals, structural bioinformatics, data-mining, text-mining; o medicinal plants, antibiotics, protein structure prediction, drug design; o gene expression, micro-arrays, proteomics, molecular phylogenic location of the Indian Liver Fluke, rough sets to predict protein structural class; o artificial neural networks for prediction of amino acids levels, plant systems biology, molecular modeling, homology modeling, bio-efficacy of indigenous bacillus through in-silico approach; o fresh aquaculture and fisheries, pesticides and insecticides, databases and tools development in the relevant area. The book would be of much use to the person working in the field of agricultural biotechnology, bioinformatics, computer science and applied statistics. This can act as a book for M.Sc, M.Tech and Ph.D students of and the faculty of Bioinformatics/Biotechnologists.Table of Contents01. Application of Bioinformatics in Agriculture D. Velmurugan 02. Statistical Data Mining-Concepts, Tools and Techniques for Bioinformatics Ravi R. Saxena, Ritu R. Saxena, Akash Solanki and M.L. Lakhera 03. Prediction of 3D Structure of Proteins Using Artificial Neural Networks K. Meena 04. A Genomic Approach to Study the Insect Mitochondrial Evolution by Noncoding LSU and SSU rRNA 41S. Gifta Lorraine, Christy Jancy Joy P., Arul Samraj D. and Priyakumari Joyce C. 05. Analysis of Microarray Gene Expression Data M. Balakrishnan, R.C. Srivastava and M. Ramachandran 06. A Novel Sequence Encoding Method for Searching Rareness Among Consensus DNA Sequences K. Meena, K. Menaka, T.V. Sundar and K. R. Subramanian 07. Statistical Methods for Genomic Sequence and Microarray Analysis A.K. Roy and S.R. Martha 08. Significance of Insect Genomics in Agro Ecosystems R.W. Alexander Jesudasan09. Bioinformatics Tools in Fish Molecular Modeling Grinson George, K.Sarma, S. Dam Roy and Mukunda Goswamy10. Structural Bioinformatics Goals and Challenges Mayank Pokhriyal and M. Balakrishnan 11. Database for Animal Genetic Resources of A &N IslandsM. Balakrishnan, S. Jeyakumar, R.C. Srivastava, Mayank Pokhriyal and Soma Mondal 12. A Database for Medicinal Plants used in Treatment of Asthma K. Balaji, M. Rajadurai, G. Vidhya, A. Krithika, E. Hudson, Vidya Murali, M. Ramya, Anusha Bhaskar and V. Stanley 13. In-silico Determination of Potential Drug Target for Curing Meningococcal Disease- Bioinformatics Study On Penicillin- Binding Proteins Vijay Tripathi, Dwijendra Gupta and Navita Srivastava 14. Text Mining: Potential Applications in Bioinformatics M. Balakrishnan, R.C. Srivastava, S.K. Zamir Ahmed and Subhash Chand 15. Diversity and Antibacterial Activity of Coral Associated Actinomycetes P. Nithyanand, S. Manju and S. Karutha Pandian 16. Decision Tree and its Application in Bioinformatics Rajni Jain and Amarendra Kumar Mishra 17. Database for Algae Resources in Andaman and Nicobar Islands M. Balakrishnan 18. Bioinformatics of Natural Antibiotics S. Rajarajan, M. Yogambal, K. Sangeetha 19. PhytopathoSys v1.0 A Phytopathology Information System M. Balakrishnan, R.C. Srivastava, Michael Imanual Jesse and M. Ramachandran 20. Multiple Gene Expression Profiles of Chemically Induced Parkinson Disease: Implication in Neuroprotection Mechanism Offered by Nicotine and Caffeine Kavita Singh, M.P. Singh and M. Balakrishnan 21. Development of Databases on Freshwater Aquaculture A.K. Roy and Nibedita Jena 22. Proteomics and Bioinformatics A. Subash Chandira Bose, R. Venkateshwaran and M. Balakrishnan23. Data Mining and its Applications in Bioinformatics Soma Mondal and M. Balakrishnan 24. Molecular Phylogenic Location of the Indian Liver Fluke, Fasciola (Trematoda: Fasciolidae) Based on The Ribosomal Internal Transcribed Spacer Regions P. K. Prasad, V. Tandon, D.K. Biswal, L.M. Goswami and A. Chatterjee 25. Prediction of Amino Acid Levels in Protein Sequences Using Artificial Neural Networks K.Meena and M. Manimekalai 26. Applying New Data Mining Method of Rough Sets to Predict Protein Structural Class K. Meena and M. Durairaj 27. Plant Systems Biology G. Ramesh Kumar, CP Rajadurai and M. Ramachandran 28. Bio-efficacy of Indigenous Bacillus thuringiensis LDC-9 Against Insect Pest and its Characterization through In-silico Approach R. Shenbagarathai and A. Mahalakshmi 29. Molluscan Resources and Its Management Measures in Andaman & Nicobar Islands S.N. Sethi, M. Balakrishnan, S. Chand and B.Varghese
£95.80
New India Publishing Agency Bioinformatics in Agriculture and Allied Sectors:
Book Synopsis
£104.88
New India Publishing Agency Concepts in Bioinformatics: From Basics to Advanced
£68.17
Springer Verlag, Singapore Life Sciences Industry: From Laboratories to
Book SynopsisBasic principles of applied life sciences such as recombinant DNA technology is used in most life sciences industries marketing bio-formulations for designing more effective protein-based drugs, such as erythropoietin and fast-acting insulin etc. In recent times genetically engineered host cells from mammal, animal and plants are also being used in life sciences industries to manufacture biologics. This book discusses the most basic as well advanced issues on biological products for successfully managing a life sciences industry. It elucidates the life cycle of biological molecules, right from the conceptual development of different types of biopolymers, and their subsequent transfer from the conical flasks in laboratory to life sciences industries for large scale production and marketing. It focuses on sustainable longevity in the life cycle of commercial biopolymers. Cumulative facts and figures in this volume would immensely help in inspiring life sciences industry promoters to monitor value chain transfer process of biologics for better profitability. Additionally, it would serve as a perusal document for the students and researchers interested in entrepreneurial ventures or having their own start-up projects for the commercialization of biologics. Table of ContentsChapter 1. Prelusion Significance of Livestock.- Chapter 2. Mass Balance concept in Livestock Farming.- Chapter 3. Goat and Sheep Farming.- Chapter 4. Cattle and Buffaloes Farming.- Chapter 5. Factors Influencing Livestock Way of Life.- Chapter 6. Sustainable Livestock Farming.- Chapter 7. Conceptual Development of Livestock Supply Chain Management.
£161.99
Springer Verlag, Singapore Bioinformatics in Rice Research: Theories and
Book SynopsisThis book provides an up-to-date review of classic and advanced bioinformatics approaches and their utility in rice research. It summarizes databases and tools for analyzing DNA, proteins and gene expression profiles, mapping genetic variations, annotation of protein and RNA molecules, phylogenetic analysis, and pathway enrichment.In addition, it presents high-throughput technologies that are widely used to provide deep insights into the genetic architecture of important traits in the rice genome. The book subsequently discusses techniques for identifying RNA-protein, DNA-protein interactions, and molecular markers, including SNP and microsatellites, in the contexts of rice breeding and genetics.Lastly, it explores various tools that are used to identify and characterize non-coding RNA in rice and their potential role in rice research.Table of ContentsChapter 1_Introduction to Bioinformatics.- Chapter 2_Statistics for bioinformatics.- Chapter 3_ Introduction of the databases of rice.- Chapter 4_Brief insight into the evolutionary history and domestication of wild rice relatives.- Chapter 5_3000 Genome project- A brief insight.- Chapter 6_ Databases and bioinformatics tools for data mining .- Chapter 7_Sequence Alignment.- Chapter 8_Gene identification and structure Annotation.- Chapter 9_Phylogenetic Analysis.- Chapter 10_RNA Structure Prediction. -Chapter 11_Structural Proteomics.- Chapter 12_Gene ontology and pathway enrichment analysis.- Chapter 13_High throughput sequencing technologies.- Chapter 14_Mapping algorithms in high-throughput sequencing.- Chapter 15_DNA–Protein Interaction Analysis (ChIP-Seq).- Chapter 16_RNA–Protein Interaction Analysis.- Chapter 17_SNP Identification and Discovery.- Chapter 18_Microsatellite Markers from whole genome and Transcriptomic Sequences. - Chapter 19_Genome-wide association study.- Chapter 20_Expression Profiling and Discovery of microRNA.- Chapter 21_Computational approaches in identifying long non-coding RNA.- Chapter 22_circRNA in rice.- Chapter 23_ Metagenomics.- Chapter 24_RNA-Induced Gene Silencing.- Chapter 25_Single-cell RNA sequencing technologies.- Chapter 26_Recent Advancement in NGS Technologies.
£179.99
Springer Verlag, Singapore Pharmacokinetics: Basics to Applications
Book SynopsisThis textbook covers all the essential elements of pharmacokinetics, from basics to applications. It describes authoritative equations and methods on pharmacokinetic evaluation procedures with their importance. Each chapter of the book is supplemented with numerous illustrations and figures for easy understanding of the subject. The book presents mathematical techniques, step- by-step descriptive equations, and applicable statistical analysis methods for the easy understanding of the topic. Further, it covers the preclinical applications and methods of pharmacokinetic aspects. The book also contains mathematical problems and questions related to pharmacokinetics for students. Special emphasis is on recent pharmacokinetic methods and their applications for managing clinical data and biostatistical approaches based on the current literature. This book is primarily meant for researchers and students from academic institutions and to R&D professionals.Table of ContentsChapter 1: Fundamentals of Pharmacokinetics.- Chapter 2: Drug absorption.- Chapter 3: The extent of drug absorption: bioavailability, clearance, bioequivalence, and protein-binding.- Chapter 4: Pharmacokinetic models and drug distribution.- Chapter 5: Drug metabolism .- Chapter 6: Drug elimination and nonlinear kinetics.- Chapter 7: Pharmacokinetic drug-drug interactions.- Chapter 8: Pharmacokinetic applications.- Chapter 9: Pharmacokinetic sample collection and processing.- Chapter 10: Important bio-analytical instrumental techniques in pharmacokinetics.- Chapter 11: Statistics in pharmacokinetics.- Chapter 12: Pharmacokinetic software and tools.- Chapter 13: Pharmacokinetic laboratory-based experiments.- Chapter 14: Pharmacokinetic numerical problems with solutions.- Chapter 15: Questions, and questions & answers for practice.
£79.99
Springer Verlag, Singapore Handbook of DNA Forensic Applications and
Book SynopsisThis handbook covers tested and proven DNA forensic testing methodologies, forensic bioinformatics techniques, case studies and current forensic legal framework for investigation of variety of crimes and provides a clinching evidence for speedy justice. DNA testing is widely used for forensic purposes and is changing the paradigm of (crime) investigation. The book contains chapters on usage of ultramodern DNA collection kits, presents era evidence collection and preservation, high-end DNA sample analysis in laboratory, DNA legislation, expert evidences, challenging and successful case studies, data generation and application of AI and IoT techniques for DNA data analysis, DNA databanks and training manpower to facilitate timely reporting to the requesting agencies. This handbook equips and enables police, investigators and crime analysis laboratories with knowhow of high-end tools, procedures and techniques to link or exclude a criminal to a crime. It is expected that this will be used by first responders, police, forensic analysts, judiciaries, evidence handlers and students and scholars of criminology and forensic sciences worldwide. The intention to write this handbook is to make DNA technology and its importance reach every common man and professional for correctly using it as a tool as and when required. This is quite evident that awareness of DNA technology has increased at a reasonable pace. Courts and investigating agencies are convinced and confident with its accuracy, reliability and unmatched peace delivered by various techniques of DNA fingerprinting and DNA profiling.Table of ContentsThe Master Molecule in Witness Box (With some Case Studies) Collection, Preservation, retention, safety and Handling of DNA Evidences Chain of Custody – Dos and Don’ts Extraction and Analysis of DNA Samples in Laboratory Handling Mixed DNA Samples with the help of Forensic Bioinformatics Maintaining Standards and Calibration of DNA Testing Equipment DNA Based Identification in Mass Disaster Cases Using DNA Technologies in Sexual Offenses DNA Legislations – Challenges and Opportunities Developing DNA Databases and revolutionizing the Forensic Investigation Modernization of Police DNA Forensics Wing DNA Forensic Trainings for Police and Law enforcement Agencies Next Generation Technologies – Forensic Bioinformatics, LIMS, RFID, Biometrics, AI and IOT in modernising Crime Laboratories. Rapid DNA Identification and Best Practices
£142.49
Springer Verlag, Singapore Proceedings of International Conference on
Book SynopsisThis book gathers outstanding research papers presented at the 2nd International Conference on Frontiers in Computing and Systems (COMSYS 2021), organized by Department of Electronics and Communication Engineering and Department of Information Technology, North-Eastern Hill University, Shillong, Meghalaya, India held during September 29–October 1, 2021. The book presents the latest research and results in various fields of machine learning, computational intelligence, VLSI, networks and systems, computational biology, and security, making it a rich source of reference material for academia and industry alike.Table of ContentsExperimental Face Recognition System using Deep Learning Approaches.- MultiNet: A Diffusion based Approach to Assign Directionality in Protein Interactions using a Consensus of Eight Protein Interaction Datasets.- An Irrigation Support System Using Regressor Assembly.- Does Random Hopping Ensure More Pandal Visits than Planned Pandal Hopping?.- Consensus-based Identification and Comparative Analysis of Structural Variants and their Influence on 3D Genome Structure using Long- and Short-read Sequencing Technologies in Polish Families.- On the Performance of Convolutional Neural Networks with Resizing and Padding.- Analysis of Vegetation Health of the Sundarbans Region using Remote Sensing Methods.- You Reap What You Sow - Revisiting Intra-class Variations and Seed Selection in Temporal Ensembling for Image Classification.- Light U-Net: Network Architecture for Outdoor Scene Semantic Segmentation.- Framework of Intelligent Transportation System: A Survey.
£179.99
Springer Verlag, Singapore Lateral Asymmetry in Animals: Predator-Prey
Book SynopsisThis book presents the latest research findings on the laterality of fish and other animals. It describes all aspects of lateral asymmetry, including ecology, morphology, behaviour, dynamics of lefty and righty morphs, genetics and evolution, through field observations, experiments and modeling. Lateral asymmetry in scale-eating cichlids gives a simple and beautiful example of negative frequency-dependent selection and resulting oscillation of lefty and righty morph frequencies. Lateral dimorphism is found not only in scale-eaters but in all orders of fish, shrimps and cuttlefish. Lateral asymmetry interacts between species through "cross-predation." Contrary to fish, lateral asymmetry in snails acts as, in most cases, positive frequency-dependent selection and provides deep insights into speciation. Especially, snakes eating righty snails facilitate speciation of lefty snails.As a collaboration work of field ecologists and theoretical biologists, this book covers a variety of topics on lateral asymmetry, which are consistently related to predation. The topics include behavioral ecology, population dynamics, physiology, evolution, genetics, development, learning and neuroscience, statistics, with the subjects of fish, shrimp, prawn, and crayfish, crab, cuttlefish, and snake and snail. Chapters cover new research results such as cuttlefish laterality dynamics, interaction between laterality of snails and snakes, evolution of laterality genetic system, and statistical analysis of laterality oscillation. Readers will appreciate the simplicity and beauty of lateral asymmetry and its profound impact on ecology and evolution.Table of ContentsChapter 1. Laterality of Fish – Anti-symmetry in Fish Populations Maintained by the Interspecific Interaction.- Chapter 2. Universality of laterality among fish and invertebrates in aquatic communities.- Chapter 3.Predominance of Cross Predation or Parallel Predation in Fish.- Chapter 4.Behavioral laterality in the scale-eating cichlid fish: detailed movement, development, and neuronal mechanisms.- Chapter 5.Models of Lateral Asymmetry Dynamics:Realistic Oscillations by Time Delay andFrequency Dependence.- Chapter 6.Mathematical models of predators and prey with laterality.- Chapter 7.Statistical Analysis of Lateral Asymmetry:Detect Antisymmetry and Oscillation fromUnequal-Interval Binomial Data.- Chapter 8.Models of Genetic System of LateralAsymmetry: Population Dynamics DriveEvolution of Genetic System.- Chapter 9.Mechanisms Underlying Variations in the Dentition Asymmetry of Asian Snail-Eating Snakes.- Chapter 10.Single-gene speciation, balanced polymorphism, and antagonistic coevolution in left-right asymmetry of land snails.
£132.99
Springer Verlag, Singapore Statistical Methods in Human Genetics
Book SynopsisThis book provides an overview of statistical concepts and basic methodology for the study of genetics of human traits and diseases. It attempts to provide a step-by-step description of problem identification, study design, methodology of data collection, data exploration, data summarization and visualization, and more advanced analytical methods for inferring genetic underpinnings of human phenotypes. The book provides codes in R programming language for implementation of most of the statistical methods described, which will enable practitioners to perform analysis of data on their own, without having to mold the data to fit the requirements of commercial statistical packages. Useful to anyone engaged in studies to understand and manage good health, the book is a useful guide for sustainable development of humankind. Primarily intended for practicing biologists especially those who carry out quantitative biological research, in particular, human geneticists, the book is also helpful in classroom teaching.Table of ContentsIntroduction to analysis of human genetic data.- Basic understanding of single gene expression data.- Basic probability theory and inference.- Analysis of single gene expression data.- Analysis of gene expression data in a dependent set up.- Tying genomes with disease.- Some extensions of genetic association study.- Exploring multivariate data.
£87.99
Oxford University Press ENVIRONMENTAL DNA C For Biodiversity Research and
Book SynopsisEnvironmental DNA (eDNA) refers to DNA that can be extracted from environmental samples (such as soil, water, feces, or air) without the prior isolation of any target organism. The analysis of environmental DNA has the potential of providing high-throughput information on taxa and functional genes in a given environment, and is easily amenable to the study of both aquatic and terrestrial ecosystems. It can provide an understanding of past or present biological communities as well as their trophic relationships, and can thus offer useful insights into ecosystem functioning. There is now a rapidly-growing interest amongst biologists in applying analysis of environmental DNA to their own research. However, good practices and protocols dealing with environmental DNA are currently widely dispersed across numerous papers, with many of them presenting only preliminary results and using a diversity of methods. In this context, the principal objective of this practical handbook is to provide biTrade ReviewThis volume fills a much-needed gap, offering a gentle introduction into the field of environmental DNA, which will be especially useful for readers of minor to intermediate experience with environmental DNA. * Vasco Elbrecht, Centre for Biodiversity Genomics, University of Guelph, The Quarterly Review of Biology *An excellent instructional book or supplementary reading for any eDNA based classes...It is a timely and important addition to the field of molecular ecology, and will undoubtedly remain the go-to book on metabarcoding for several years. * Dr Anthony A. Charlton, Macquarie University, Sydney, Australia, Molecular Ecology *This book is a timely overview of eDNA as a complimentary and non-invasive approach for investigating and monitoring biodiversity. The book is an ideal introduction to all ecologists looking to eDNA, but also speaks to the more experienced researchers in molecular ecology. Lastly, it provides textbook material for university courses around the world. * Philip Francis Thomsen, Trends in Ecology & Evolution Journal *If you are contemplating moving into this topic, or just want to understand it better, do try and get your hands on a copy - something that might not be that easy just now as I understand the book has proved to be so popular that it is already having to be reprinted. * IMA FUNGUS *In a world faced with accelerating environmental change and loss of biodiversity, this book is a timely overview of eDNA as a complementary and noninvasive approach for investigating and monitoring biodiversity ... an ideal introduction to all ecologists looking to eDNA as a method of choice, but also speaks to the more experienced researchers in molecular ecology. Lastly, it provides textbook material for university courses around the world, where eDNA is continuously increasing in popularity. * Philip Francis Thomsen, Department of Bioscience, University of Aarhus, Trends in Ecology and Evolution *Table of Contents1: Introduction to environmental DNA (eDNA) 2: DNA metabarcode choice and design 3: Reference databases 4: Sampling 5: DNA extraction 6: DNA amplification and multiplexing 7: DNA sequencing 8: DNA metabarcoding data analysis 9: Single-species detection 10: Environmental DNA for functional diversity 11: Some early landmark studies 12: Freshwater ecosystems 13: Marine environments 14: Terrestrial ecosystems 15: Palaeoenvironments 16: Host-associated microbiota 17: Diet analysis 18: Analysis of bulk samples 19: The future of eDNA metabarcoding
£107.50
Taylor & Francis Ltd DNA Methylation Microarrays Experimental Design and Statistical Analysis
a huge range and FREE tracked UK delivery on ALL orders.
£58.89
Cambridge University Press Evolution of PlantPollinator Relationships 81 Systematics Association Special Volume Series Series Number 81
Book SynopsisWhat are the evolutionary mechanisms and ecological implications behind a pollinator choosing its favourite flower? Sixty-five million years of evolution has created the complex and integrated system which we see today and understanding the interactions involved is key to environmental sustainability. Examining pollination relationships from an evolutionary perspective, this book covers both botanical and zoological aspects. It addresses the puzzling question of co-speciation and co-evolution and the complexity of the relationships between plant and pollinator, the development of which is examined through the fossil record. Additional chapters are dedicated to the evolution of floral displays and signalling, as well as their role in pollination syndromes and the building of pollination networks. Wide-ranging in its coverage, it outlines current knowledge and complex emerging topics, demonstrating how advances in research methods are applied to pollination biology.Table of ContentsPreface; 1. Macroevolution for plant reproductive biologists Paul Wilson; 2. Pollination crisis, plant sex systems and predicting evolutionary trends in attractiveness Tom J. de Jong; 3. Evolution and ecological implications of 'specialized' pollinator rewards W. Scott Armbruster; 4. Fig-fig wasp mutualism, the fall of the strict co-speciation paradigm? Astrid Cruaud, James Cook, Yang Da-Rong, Gwenaëlle Genson, Roula Jabbour-Zahab, Finn Kjellberg, Rodrigo Augusto Santinelo Pereira, Nina Rønsted, Otilene Santos-Mattos, Vincent Savolainen, Rosichon Ubaidillah, Simon van Noort, Peng Yan-Qiong and Jean-Yves Rasplus; 5. Fossil bees and their plant associates Denis Michez, Maryse Vanderplanck and Michael S. Engel; 6. Pollen evidence for the pollination biology of early flowering plants Shusheng Hu, David L. Dilcher and David Winship Taylor; 7. Pollinator mediated floral divergence in the absence of pollinator shifts Allan G. Ellis and Bruce Anderson; 8. Animal pollination and speciation in plants: general mechanisms and examples from the orchids Florian P. Schiestl; 9. Why are floral signals complex? An outline of functional hypotheses Anne S. Leonard, Anna Dornhaus and Daniel R. Papaj; 10. A survey on pollination modes in cacti and a potential key innovation Boris O. Schlumpberger; 11. Zygomorphy, area and the latitudinal biodiversity gradient in angiosperms Jana C. Vamosi and Steven M. Vamosi; 12. Ambophily and 'super generalism' in Ceratonia siliqua (Fabaceae) pollination Amots Dafni, Talya Marom-Levy, Andreas Jürgens, Stefan Dötterl, Yuval Shimrat, Achik Dorchin, H. Elizabeth Kirkpatrick and Taina Witt; 13. Structure and dynamics of pollination networks: the past, the present and the future Jens M. Olesen, Yoko L. Dupont, Melanie Hagen, Claus Rasmussen and Kristian Trøjelsgaard; 14. Pollinators as drivers of plant distribution and assemblage into communities Loïc Pellissier, Nadir Alvarez and Antoine Guisan; 15. Effects of alien species on plant-pollinator interactions: how can native plants adapt to changing pollination regimes? Gideon Pisanty and Yael Mandelik; 16. Pollen resources of non-Apis bees in southern Africa Michael Kuhlmann and Connal D. Eardley; 17. Advances in the study of the evolution of plant-pollinator relationships Sébastien Patiny; Index.
£98.80
Cambridge University Press Mathematics of Genome Analysis
a huge range and FREE tracked UK delivery on ALL orders.
£29.99
Cambridge University Press Prob Sol Biological Sequence Anly
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£42.74
Cambridge University Press Biological Sequence Analysis Probabilistic Models of Proteins and Nucleic Acids
Book SynopsisProbabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.Trade Review'This book fills an important gap in the bioinformatics literature and should be required reading for anyone who is interested in doing serious work in biological sequence analysis. For biologists who have little formal training in statistics or probability, it is a long-awaited contribution that, short of consulting a professional statistician who is well versed in molecular biology, is the best source of statistical information that is relevant to sequence-alignment problems. This book seems destined to become a classic. I highly recommend it.' Andrew F. Neuwald, Trends in Biochemical Sciences'This book is a nice tutorial and introduction to the field and can certainly be recommended to all who wish to analyse biological sequences with computer methods. It can also serve as a basis for a university course for undergraduates.' Trends in Cell Biology' … an enjoyable opportunity to see a blend of modeling and data analysis at work on an important class of problems in the rapidly growing field of computational biology.' D. Siegmund, Short Book ReviewsTable of Contents1. Introduction; 2. Pairwise sequence alignment; 3. Multiple alignments; 4. Hidden Markov models; 5. Hidden Markov models applied to biological sequences; 6. The Chomsky hierarchy of formal grammars; 7. RNA and stochastic context-free grammars; 8. Phylogenetic trees; 9. Phylogeny and alignment; Index.
£53.19
Cambridge University Press Optimal HighThroughput Screening Practical Experimental Design and Data Analysis for GenomeScale RNAi Research
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£28.99
Cambridge University Press Anatomy of Gene Regulation
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£137.75
Cambridge University Press Anatomy of Gene Regulation A ThreeDimensional Structural Analysis
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£72.19
Cambridge University Press Chemical Genomics
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£96.90
Cambridge University Press Understanding Forensic DNA
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£11.99
Cambridge University Press Biophysics of DNA
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£35.14
University of Chicago Press Truth Machine The Contentious History of DNA
Book SynopsisDNA profiling is often heralded as unassailable criminal evidence, a veritable "truth machine" that can overturn convictions based on eyewitness testimony, confessions, and other forms of forensic evidence. This book traces the controversial history of DNA fingerprinting by looking at court cases in the US and UK from the mid-1980s onwards.Trade Review"I could not put it down. This is a must-read for anyone interested in the history of science." (Times Higher Education) "An interesting read.... It illustrates that the controversy of DNA profiling is rooted not in the science, but mainly in the restrictions of the adversarial system." (Nature)"
£999.99
WW Norton & Co DNA Is Not Destiny The Remarkable Completely
Book SynopsisOne of the world’s leading cultural psychologists debunks the hype surrounding DNA testing and puts to rest our mistaken anxieties about our genes.Trade Review"Steven Heine is one of the leading cultural psychologists in the world. In DNA Is Not Destiny, Heine serves as a trustworthy guide through the moral minefield of genetic differences and lays out a new way to think rationally about our genes." -- Jonathan Haidt, Thomas Cooley Professor of Ethical Leadership at New York University's Stern School of Business and author of The Righteous Mind "Steven Heine is one of the leading cultural psychologists in the world. In DNA Is Not Destiny, Heine serves as a trustworthy guide through the moral minefield of genetic differences and lays out a new way to think rationally about our genes." -- Jonathan Haidt, Thomas Cooley Professor of Ethical Leadership at New York University's Stern School of Business and author of The Righteous Mind "At some point everyone wonders: 'Who am I and where did I come from?' Is there any question more fascinating? In this important book, Steve Heine tells us what our DNA can and cannot reveal about our nature, our origins, and our futures. The material is fascinating, and Heine's vibrant writing makes it come alive with personal significance for every reader." -- Carol Dweck, Lewis and Virginia Eaton Professor of Psychology at Stanford University and author of Mindset "At some point everyone wonders: 'Who am I and where did I come from?' Is there any question more fascinating? In this important book, Steve Heine tells us what our DNA can and cannot reveal about our nature, our origins, and our futures. The material is fascinating, and Heine's vibrant writing makes it come alive with personal significance for every reader." -- Carol Dweck, Lewis and Virginia Eaton Professor of Psychology at Stanford University and author of Mindset "Your genes contribute to your beliefs, behaviors, and life outcomes. Only in rare cases are they determinative. This brilliant, invaluable book sets straight crucial matters of heredity and environment and their interaction-and does so in lively and lucid prose." -- Richard Nisbett, Theodore M. Newcomb Distinguished Professor of Social Psychology at the University of Michigan and author of Mindware "Your genes contribute to your beliefs, behaviors, and life outcomes. Only in rare cases are they determinative. This brilliant, invaluable book sets straight crucial matters of heredity and environment and their interaction-and does so in lively and lucid prose." -- Richard Nisbett, Theodore M. Newcomb Distinguished Professor of Social Psychology at the University of Michigan and author of Mindware "A highly accessible and entertaining guide to genes: what they are, how they work, and most important, what they can and cannot explain. For all the dinner table or classroom conversations on the genetic bases of gender, race, or intelligence; the morality of genetic engineering; or the hardest question of all, 'Who am I?,' DNA Is Not Destiny is the new must-read." -- Hazel Markus, Davis-Brack Professor in the Behavioral Sciences at Stanford University and author of Clash!: How to Thrive in a Multicultural World "A highly accessible and entertaining guide to genes: what they are, how they work, and most important, what they can and cannot explain. For all the dinner table or classroom conversations on the genetic bases of gender, race, or intelligence; the morality of genetic engineering; or the hardest question of all, "Who am I?," DNA Is Not Destiny is the new must-read." -- Hazel Markus, Davis-Brack Professor in the Behavioral Sciences at Stanford University and author of Clash!: How to Thrive in a Multicultural World "Heine ranges broadly, discussing both historical and ethical concerns, and draws heavily on social science research to investigate how people's beliefs about the power of genes influence their behavior. Heine also makes a strident critique of the direct-to-consumer genetic testing industry and a robust defense of most genetically modified organisms... Enjoyable and informative." -- Publishers Weekly "An accessible contribution to what the author calls 'genetic literacy' and a satisfyingly hard-edged work of popular science." -- Kirkus Reviews
£17.99
WW Norton & Co The Seven Daughters of Eve The Science that
Book SynopsisThe national bestseller that reveals how we are descended from seven prehistoric women.Trade Review"A lovely, rollicking book, direct and clear.... [A] fascinating glimpse into anthropology in the era of the genome." -- Wall Street Journal"Sykes recounts his tale of discovery with the drama it warrants...gripping." -- New York Times Book Review"Scientifically accurate and understandable to the layperson.... [The Seven Daughters of Eve] will be recognized as an important work, bringing molecular anthropology to a mass audience." -- Nature"A natural storyteller, [Sykes] relates the history of developing genetics up to contemporary times as the DNA of genes is decoded.... A riveting account showing how archeological evidence and molecular biology findings complement one another in the challenge to unearth our past and our beginnings." -- Choice"Sykes has solved some of the hottest debates about human origins." -- Publishers Weekly
£13.29
John Wiley and Sons Ltd Plant Transposons and Genome Dynamics in
Book SynopsisThe transposable genetic elements, or transposons, as they are now known, have had a tumultuous history. Discovered in the mid-20th century by Barbara McClintock, they were initially received with puzzlement. When their genomic abundance began to be apparent, they were categorized as junk DNA and acquired the label of parasites.Trade Review“I do love books where the text points toward the future as well as distilling the past and present. This volume does both.” (The Quarterly Review of Biology, 1 December 2014) Table of ContentsContributors ix Foreword xiDavid Botstein Introduction xiiiNina V. Fedoroff Chapter 1 The Discovery of Transposition 3Nina V. Fedoroff Introduction 3 Studies on Variegation 3 Mutable Genes 5 McClintock’s Studies on Chromosome Breakage 6 Recognition that Ds Transposes 8 Explaining Mutable Genes 9 Molecular Endnote 12 References 12 Chapter 2 A Field Guide to Transposable Elements 15Alan H. Schulman and Thomas Wicker The C-value Paradox 15 The Quantity of Transposable Elements Determines Genome Size 16 General Classification Scheme for Transposable Elements 17 Class II Elements 19 Class I: The Non-LTR and LTR Retrotransposons 20 Evolutionary Origins of Transposable Elements 25 Non-autonomous Transposable Elements 28 Transposable Element Demography and Genome Ecology 30 Conclusions: Rehabilitation of Transposable Elements 32 Acknowledgments 34 References 34 Chapter 3 The Mechanism of Ac/Ds Transposition 41Thomas Peterson and Jianbo Zhang Transposition of Ac/Ds Elements 41 The Enigmatic Ac Dosage Effect 42 cis and trans Effects on Ac/Ds Transposition 43 Molecular Characterization of Transposable Elements 44 The Excision and Insertion Reactions 45 Formation of Ds from Ac 48 Standard versus Alternative Transposition 48 Sister Chromatid Transposition 48 Reversed-ends Transposition 51 How Does Ds Break Chromosomes? 53 Alternative Transposition, DNA Methylation, and the Sequence of Transposition Reactions 54 Potential Applications of Alternative Transposition 55 Perspective 56 References 56 Chapter 4 McClintock and Epigenetics 61Nina V. Fedoroff Introduction 61 Spm-suppressible Alleles 61 Spm-dependent Alleles 64 Cryptic Spm 66 Presetting 66 Molecular Machinery of Epigenetic Regulation 67 Summary 68 References 69 Chapter 5 Molecular Mechanisms of Transposon Epigenetic Regulation 71Robert A. Martienssen and Vicki L. Chandler Introduction 71 Chromatin Remodeling, DNA and Histone Modification 73 RNA Interference (RNAi) and RNA-Directed DNA Methylation (RdDM) 75 Heterochromatin Reprogramming and Germ Cell Fate 79 Transgenerational Inheritance of Transposon Silencing 82 Paramutation 83 Conclusions 85 References 85 Chapter 6 Transposons in Plant Gene Regulation 93Damon R. Lisch Introduction 93 New Regulatory Functions 94 TE-Induced Down-Regulation 97 Deletions and Rearrangements 98 Suppressible Alleles 100 TEs and Plant Domestication 103 The Dynamic Genome 108 References 110 Chapter 7 Imprinted Gene Expression and the Contribution of Transposable Elements 117Mary A. Gehring Why are Genes Imprinted? 118 The Developmental Origin of Endosperm 118 Selection for Imprinted Expression 121 Principles Derived from the First Imprinted Gene 122 Gene Imprinting and Parent-of-Origin Effects on Seed Development 124 What Genes are Imprinted? 124 Epigenome Dynamics during Seed Development 127 Epigenetic Landscape in Vegetative Tissues 127 Cytological Observations of Chromatin in Seeds 129 Epigenomic Profiling in Seeds 130 Mechanisms of Gene Imprinting and the Relation to TEs 132 TEs and Allele-Specific Imprinting 136 Insights from Whole Genome Studies 137 Outstanding Questions 138 References 138 Chapter 8 Transposons and Gene Creation 143Hugo K. Dooner and Clifford F. Weil Introduction 143 Capture of Gene Fragments by TEs and Formation of Chimeric Genes 144 Co-Option of a TE Gene by the Host 148 Fusion of TE and Host Genes 150 Alterations of Host Gene Sequences by TE Excisions 151 Alterations of Host Coding Sequences by TE Insertions 152 Acquisition by Host Genes of New Regulatory Sequences from TEs 153 Interaction of TEs with Target Gene mRNA Splicing and Structure 155 Reshuffling of Host Sequences by Alternative Transpositions 156 Conclusion 158 References 158 Chapter 9 Transposons in Plant Speciation 165Avraham A. Levy Introduction 165 Genetic Models of Speciation 165 Speciation – a Gradual or a Rapid Process? 166 Speciation Through Accumulation of Mutations 166 DNA Cut-and-Paste TEs and Speciation 167 Copy-and-Paste TEs and Speciation 168 TE-Mediated Speciation – a Likely Scenario? 169 Plant Speciation Through Hybridization and Allopolyploidization 169 Induction of Transposition upon Hybridization and Polyploidization 170 Epigenetic Alteration of TEs upon Hybridization and Polyploidization 170 Transcriptional Activation of TEs upon Hybridization and Polyploidization 171 Alterations in Small RNAs upon Hybridization and Polyploidization 171 A Mechanistic Model for Responses to Genome Shock 172 Dysregulation of Gene Expression by Novel Interactions Between Regulatory Factors 173 Altered Protein Complexes 174 Why TEs Become Activated when Cellular Processes are Dysregulated 174 Conclusions 175 Acknowledgments 176 References 176 Chapter 10 Transposons, Genomic Shock, and Genome Evolution 181Nina V. Fedoroff and Jeffrey L. Bennetzen How Transposons Came to be Called “Selfish” DNA 181 The “Selfish DNA” Label Stuck to Transposons 182 Transposons Coevolved with Eukarotic Genomes 182 Sequence Duplication: The Real Innovation 183 The Facilitator: Epigenetic Control of Homologous Recombination 183 Epigenetic Mechanisms, Duplication and Genome Evolution 185 Plant Genome Organization: Gene Islands in a Sea of Repetitive DNA 186 Transposon Neighborhoods and Insertion Site Selection 187 Genome Evolution: Colinearity and Its Erosion 189 Genome Contraction and Divergence of Intergenic Sequences 191 Transposases Sculpt Genomes 192 Small Regulatory RNAs from Transposons 193 Genome Shocks 194 Genome Evolvability 195 References 196 Index 203
£175.70
John Wiley & Sons Inc DrugDNA Interactions
Book SynopsisLearn vital information about drug-DNA interactions from Drug-DNA Interactions: Structures and Spectra, the only comprehensive book written about this topic. Understand the types of structural and bonding information that can be obtained using specific physico-chemical methods and discover how to design new drugs that are more effective than current treatments and have fewer side effects. Find detailed information about X-ray crystallography, NMR spectroscopy, molecular modeling, and optical spectroscopy such as UV-Visible absorption, fluorescence, circular dichroism (CD), flow linear dichroism (FLD), infrared (IR) and Raman spectroscopy.Table of ContentsPreface. Introduction. 1. DNA Structures and Spectra. 1.1. DNA Structures. 1.2. Electronic Spectra. 1.3. Vibrational Spectra. 1.4. NMR Spectra. 1.5. Electron Spin Resonance Spectra. 1.6. X-Ray Crystallography. 1.7. Molecular Modeling an molecular Mechanics. 2. Intercalating Drugs. 2.1. Acridine Dyes. 2.2. Ethidium Bromide. 2.3. Aclacinomycin. 2.4. Sequence Preference. 2.5. Bis- and Tris- Intercalators. 3. Groove- Binding Drugs. 3.1. Netropsin and Distamycin. 3.2. Derivatives of Netropsin and Distamycin. 3.3. Hoechst 33258, SN6999, and their Derivatives. 3.4. Chromomycin, Mithramycin, and Other GC Binders. 3.5. Groove Binding and Intercalation. 4. Covalent Bonding Drugs. 4.1. (+) CC1065 and Related Drugs. 4.2. Anthramycin and Tomaymycin. 4.3. Ecteinascidins. 4.4. Mitomycins. 4.5. Intercalating Alkylators. 5. Strand-Breaking Drugs. 5.1. Bleomycins. 5.2. Enediyne Antibiotics. 6. Metal-Containing Drugs. 6.1. Cisplatin. 6.2. Cisplatin Derivatives. 6.3. Transplatin and Derivatives. 6.4. Monofunctional Platinum Complexes. 6.5. Polynuclear and High-valent Platinum Complexes. 6.6. Complexes Containing Other Metals. Appendixes. Index.
£143.40
John Wiley & Sons Inc Exploration and Analysis of DNA Microarray and
Book SynopsisPraise for the First Edition extremely well writtena comprehensive and up-to-date overview of this important field. Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to study patterns of gene activity. The new edition answers the need for an efficient outline of all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Utilizing research and experience from highly-qualified authors in fields of data analysis, Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition featurTrade Review“Featuring new information on interpretation of findings, class prediction, ABC clustering, limma for mixed models, biclustering, mass spectrometry, tracking Spearman correlations, and more, this \extremely well written" (Journal of Environmental Quality) book is a choice reference for scientists, teachers, and students interested in DNA data analysis.” (Zentralblatt MATH, 1 October 2014) “In summary this is an excellent text for both life scientist and computer/mathematicians. Highly recommended.” (Scientific Computing, 1 August 2014) Table of ContentsPreface xv Acknowledgments xvii 1 A brief introduction 1 1.1 A note on exploratory data analysis 3 1.2 Computing considerations and software 4 1.3 A brief outline of the book 5 1.4 Datasets and case studies 7 2 Genomics basics 11 2.1 Genes 11 2.2 DNA 12 2.3 Gene expression 13 2.4 Hybridization assays and other laboratory techniques 15 2.5 The human genome 16 2.6 Genome variations and their consequences 18 2.7 Genomics 19 2.8 The role of genomics in pharmaceutical and research and clinical practice 20 2.9 Proteins 23 2.10 Bioinformatics 23 3 Microarrays 27 3.1 Types of microarray experiments 28 3.2 A very simple hypothetical microarray experiment 32 3.3 A typical microarray experiment 34 3.4 Multichannel cDNA microarrays 38 3.5 Oligonucleotide microarrays 38 3.6 Bead based arrays 40 3.7 Confirmation of microarray results 40 4 Processing the scanned image 43 4.1 Converting the scanned image to the spotted image 44 4.2 Quality assessment 47 4.3 Adjusting for background 53 4.4 Expression level calculation for twochannel cDNA microarrays 56 4.5 Expression level calculation for oligonucleotide microarrays 58 5 Preprocessing microarray data 65 5.1 Logarithmic transformation 66 5.2 Variance stabilizing transformations 66 5.3 Sources of bias 68 5.4 Normalization 69 5.5 Intensity dependent normalization 70 5.6 Judging the success of a normalization 81 5.7 Outlier identification 83 5.8 Nonresistant rules for outlier identification 83 5.9 Resistant rules for outlier identification 83 5.10 Assessing replicate array quality 84 6 Summarization 95 6.1 Replication 95 6.2 Technical replicates 96 6.3 Biological replicates 100 6.4 Biological replicates 100 6.5 Multiple oligonucleotide arrays 102 6.6 Estimating fold change in twochannel experiments 104 6.7 Bayes estimation of fold change 105 6.8 Estimating fold change Affymetrix data 106 6.9 RMA Summarization of multiple oligonucleotide arrays revisited 107 6.10 FARMS summarization. 108 7 Two group comparative experiments 119 7.1 Basics of statistical hypothesis testing 120 7.2 Fold changes 123 7.3 The two sample t test 123 7.4 Diagnostic checks 127 7.5 Robust t tests 129 7.6 The Mann Whitney Wilcox on rank sum test 130 7.7 Multiplicity 132 7.8 The false discovery rate 135 7.9 Resampling based Multiple Testing Procedures 138 7.10 Small variance adjusted t tests and SAM 140 7.11 Conditional t 146 7.12 Borrowing strength across genes 149 7.13 Twochannel experiments 151 7.14 Filtering 153 8 Model based inference and experimental design considerations 177 8.1 The F test 178 8.2 The basic linear model 179 8.3 Fitting the model in two stages 181 8.4 Multichannel experiments 182 8.5 Experimental design considerations 183 8.6 Miscellaneous issues 187 8.7 Model based analysis of Affymetrix arrays 188 9 Analysis of gene sets 211 9.1 Methods for identifying enriched gene sets 213 9.2 ORA and Fisher’s exact test 217 9.3 Interpretation of results 217 9.4 Example 217 10 Pattern discovery 221 10.1 Initial considerations 222 10.2 Cluster analysis 223 10.3 Seeking patterns visually 241 10.4 Biclustering 254 11 Class prediction 263 11.1 Initial considerations 264 11.2 Linear Discriminant Analysis 269 11.3 Extensions of Fisher’s LDA 275 11.4 Penalized methods 278 11.5 Nearest neighbors 279 11.6 Recursive partitioning 280 11.7 Ensemble methods 285 11.8 Enriched ensemble classifiers 288 11.9 Neural networks 288 11.10 Support Vector Machines 289 11.11 Generalized enriched methods 291 11.12 Integration of genome information 301 12 Protein arrays 307 12.1 Introduction 307 12.2 Protein array experiments 308 12.3 Special issues with protein arrays 310 12.4 Analysis 310 12.5 Using antibody antigen arrays to measure protein concentrations 311 References 317 Index 337
£105.40
