Computational biology / bioinformatics Books
Cambridge University Press Anatomy of Gene Regulation A ThreeDimensional Structural Analysis
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£75.99
Cambridge University Press Chemical Genomics
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£102.00
Springer Global Behavior of Nonlinear Difference Equations of Higher Order with Applications 256 Mathematics and Its Applications
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£999.99
Springer The Theory of Sprays and Finsler Spaces with Applications in Physics and Biology 58 Fundamental Theories of Physics
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£999.99
Springer The Dynamic Architecture of a Developing Organism An Interdisciplinary Approach to the Development of Organisms
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£999.99
Springer Analysis and Control of AgeDependent Population Dynamics 11 Mathematical Modelling Theory and Applications
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£999.99
Springer Analysis of Microarray Gene Expression Data
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£999.99
Hill & Wang Inc.,U.S. The Stuff of Life A Graphic Guide to Genetics and DNA
Book SynopsisLet''s face it: From adenines to zygotes, from cytokinesis to parthenogenesis, even the basics of genetics can sound utterly alien. So who better than an alien to explain it all? Enter Bloort 183, a scientist from an asexual alien race threatened by disease, who''s been charged with researching the fundamentals of human DNA and evolution and laying it all out in clear, simple language so that even his slow-to-grasp-the-point leader can get it. In the hands of the award-winning writer Mark Schultz, Bloort''s predicament becomes the means of giving even the most science-phobic reader a complete introduction to the history and science of genetics that''s as easy to understand as it is entertaining to read.
£15.20
Cambridge University Press Biophysics of DNA
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£43.30
Springer New York ComputerAssisted Medical Decision Making 2 Computers and Medicine
Book SynopsisComputer technology has impacted the practice of medicine in dramatic ways. In many cases, these appli cations are limited to administrative functions, e.g., office practice man agement, location of hospital patients, appointments, and scheduling.Table of Contentsfor Volume 1.- I. Introduction.- 1. An Overview of Methods for Computer-Assisted Medical Decision Making.- 2. Reasoning Foundations of Medical Diagnosis.- II. Algorithmic Approaches.- 3. Computer-Based Consultation: Electrolyte and Acid-Base Disorders.- 4. Reduction of Digitalis Toxicity by Computer-Assisted Glycoside Dosage Regimens.- 5. A Consultant-Extender System for Breast Cancer Adjuvant Chemotherapy.- III. Statistically Oriented Approaches.- 6. A Mathematical Approach to Medical Diagnosis: Application to Congenital Heart Disease.- 7. Computer-Aided Diagnosis of Acute Abdominal Pain.- 8. Computer-Assisted Diagnosis of Abdominal Pain Using “Estimates” Provided by Clinicians.- 9. Bayes’ Theorem and Conditional Nonindependence of Data in Medical Diagnosis.- 10. Transferability of Medical Decision Support Systems Based on Bayesian Classification.- 11. Experience with a Model of Sequential Diagnosis.- 12. Pattern-Based Interactive Diagnosis of Multiple Disorders: The MEDAS System.- 13. Enhancement of Clinical Predictive Ability by Computer Consultation.- 14. Decision Analysis and Clinical Judgment.
£49.49
Springer New York Mathematical Biology
Book SynopsisProviding an in-depth look at the practical use of math modeling, it features exercises throughout that are drawn from a variety of bioscientific disciplines - population biology, developmental biology, physiology, epidemiology, and evolution, among others.Trade ReviewReviews of the original edition: "Murray has produced a magnificent compilation of mathematical models and their applications in biology." Nature "Murray's Mathematical Biology belongs on the shelf of any person with a serious interest in mathematical biology." Bulletin of Mathematical Biology SIAM, 2004: "Murray's Mathematical Biology is a classic that belongs on the shelf of any serious student or researcher in the field. Together the two volumes contain well over 1000 references, a rich source of material, together with an excellent index to help readers quickly find key words. ... I recommend the new and expanded third edition to any serious young student interested in mathematical biology who already has a solid basis in applied mathematics." From the reviews of the third edition: "Mathematical Biology would be eminently suitable as a text for a final year undergraduate or postgraduate course in mathematical biology … . It is also a good source of examples for courses in mathematical methods … . Mathematical Biology provides a good way in to the field and a useful reference for those of us already there. It may attract more mathematicians to work in biology by showing them that there is real work to be done." (Peter Saunders, The Mathematical Gazette, Vol. 90 (519), 2006)Table of ContentsContinuous Population Models for Single Species * Discrete Population Models for a Single Species * Models for Interacting Populations * Temperature-Dependent Sex Determination (TSD): Crocodilian Survivorship * Modelling the Dynamics of Marital Interaction: Divorce Prediction and Marriage Repair * Reaction Kinetics * Biological Oscillators and Switches * BZ Oscillating Reactions * Perturbed and Coupled Oscillators and Black Holes * Dynamics of Infectious Diseases: Epidemic Models and AIDS * Reaction Diffusion, Chemotaxis, and Non-local Mechanisms * Oscillator Generated Wave Phenomena and Central Pattern Generators * Biological Waves: Single Species Models * Use and Abuse of Fractals
£59.99
Createspace Independent Publishing Platform Introducao a Programacao Para Bioinformatica Com Biopython
£15.06
Createspace Independent Publishing Platform Introducao a Programacao Para Bioinformatica Com Perl
£20.00
De Gruyter Computational Bioacoustics: Biodiversity Monitoring and Assessment
Book SynopsisThis book offers an overview of some recent advances in the Computational Bioacoustics methods and technology. In the focus of discussion is the pursuit of scalability, which would facilitate real-world applications of different scope and purpose, such as wildlife monitoring, biodiversity assessment, pest population control, and monitoring the spread of disease transmitting mosquitoes. The various tasks of Computational Bioacoustics are described and a wide range of audio parameterization and recognition tasks related to the automated recognition of species and sound events is discussed. Many of the Computational Bioacoustics methods were originally developed for the needs of speech, audio, or image processing, and afterwards were adapted to the requirements of automated acoustic recognition of species, or were elaborated further to address the challenges of real-world operation in 24/7 mode. The interested reader is encouraged to follow the numerous references and links to web resources for further information and insights. This book is addressed to Software Engineers, IT experts, Computer Science researchers, Bioacousticians, and other practitioners concerned with the creation of new tools and services, aimed at enhancing the technological support to Computational Bioacoustics applications. STTM, Speech Technology and Text Mining in Medicine and Health Care This series demonstrates how the latest advances in speech technology and text mining positively affect patient healthcare and, in a much broader sense, public health at large. New developments in text mining methods have allowed health care providers to monitor a large population of patients at any time and from any location. Employing advanced summarization techniques, patient data can be readily extracted from extensive clinical documents in electronic health records and immediately made available to the physician. These same summarization techniques can also aid the healthcare provider in extracting from the large corpora of medical literature the relevant information for treating the patient. The series topics include the design and acceptance of speech-enabled robots that assist in the operating room, studies of signal processing and acoustic modeling for speech and communication disorders, advanced statistical speech enhancement methods for creating synthetic voice, and technologies for addressing speech and language impairments. Titles in the Series consist of both authored books and edited contributions. All authored books and contributed works are peer-reviewed. The Series is for speech scientists and speech engineers, machine learning experts, biomedical engineers, medical speech pathologists, linguists, and healthcare professionals Table of Contents1. Introduction 2. Why Computational Bioacoustics? 3. Getting to know the problems of automated species recognition 4. Preparation of data 5. Sound production mechanisms 6. Parameterization of bioacoustic signals 7. Machine learning methods 8. Application examples 9. Useful resources 10. Conclusion and outlook
£65.50
Royal Society of Chemistry Advances in Nucleic Acid Therapeutics
Book SynopsisThe sequencing of the human genome and subsequent elucidation of the molecular pathways that are important in the pathology of disease have provided unprecedented opportunities for the development of new therapeutics. Nucleic acid-based drugs have emerged in recent years to yield extremely promising candidates for drug therapy to a wide range of diseases. Advances in Nucleic Acid Therapeutics is a comprehensive review of the latest advances in the field, covering the background of the development of nucleic acids for therapeutic purposes to the array of drug development approaches currently being pursued using antisense, RNAi, aptamer, immune modulatory and other synthetic oligonucleotides. Nucleic acid therapeutics is a field that has been continually innovating to meet the challenges of drug discovery and development; bringing contributions together from leaders at the forefront of progress, this book depicts the many approaches currently being pursued in both academia and industry. A go-to volume for medicinal chemists, Advances in Nucleic Acid Therapeutics provides a broad overview of techniques of contemporary interest in drug discovery.Trade ReviewThis book is a go-to resource for those focusing on drug discovery and development. Each chapter in this volume contains contributions by experts in their respective fields. -- Masad J. Damha, McGill University, Canada * Trends in Molecular Medicine, December 2019, Vol 25, No 12, 1051-1052 *This book is a go-to resource for those focusing on drug discovery and development. Each chapter in this volume contains contributions by experts in their respective fields. It has captured the many approaches currently being pursued in both academia and industry, providing an excellent account of research and methods of contemporary interest in nucleic acid therapeutics. I highly recommend this book to students and researchers interested in drug development, but especially to those searching for starting points for future research in DNA/RNA-based therapeutics. -- Masad J. Damha, McGill University, Canada * https://doi.org/10.1016/j.molmed.2019.10.005 *Table of ContentsHistory and Development of Nucleotide Analogues in Nucleic Acids Drugs; Mechanisms of Antisense Oligonucleotides; The Medicinal Chemistry of RNase H-activating Antisense Oligonucleotides; Antisense Technology: Liver Targeting and Beyond for Drug Discovery; Oligonucleotide-based Toll-like Receptor Antagonists and Therapeutic Applications; Splicing Modulation for Therapeutics; Targeting Toxic Repeats; Research and Development of Oligonucleotides Targeting MicroRNAs (miRNAs); Oligonucleotide Targeting of Long Non-coding RNAs; Conjugate-mediated Delivery of RNAi-based Therapeutics: Enhancing Pharmacokinetics-Pharmacodynamics Relationships of Medicinal Oligonucleotides; Liver-targeted RNAi Therapeutics: Principles and Applications; Advances and Challenges of RNAi-Based Anti-HIV Therapeutics; Nucleic Acid Innate Immune Receptors; Synthetic Agonists of Toll-like Receptors and Therapeutic Applications; Prostate-specific Membrane Antigen (PSMA) Aptamers for Prostate Cancer Imaging and Therapy; Aptamers and Clinical Applications; CRISPR-based Technologies for Genome Engineering: Properties, Current Improvements and Applications in Medicine; Therapeutic Potential of Ribozymes; Large-scale Automated Synthesis of Therapeutic Oligonucleotides: A Status Update; Preclinical and Clinical Drug-metabolism, Pharmacokinetics and Safety of Therapeutic Oligonucleotides; Subject Index
£189.05
Springer Nature Switzerland AG Reviews on Biomarker Studies in Psychiatric and
Book SynopsisThis book includes a series of reviews on general aspects of biomarker use in the study of psychiatric and neurodegenerative diseases and the development of medications involved in their treatment. It describes the pros and cons of the various approaches and covers the successes and failures in this research field. It is only by a thorough understanding of the shortcomings that progress can be made. The overall goal is to facilitate the understanding and treatment of these disorders, by providing a viable mechanism of catching up with other areas of modern medicine, such as diabetes and heart disease. Finally, it is anticipated that the development and application of valid biomarker tests and the leveraging of novel drug targets will help the fields of psychiatry on neurodegenerative disorders move into the area of personalized medicine where the right patients can receive the right medication at the right time for the best possible outcome.Table of Contents1. The Potential of ‘Omics to Link Lipid Metabolism and Genetic and Comorbidity Risk Factors of Alzheimer’s Disease in African Americans.- 2. The Role of Biomarkers in Alzheimer’s Disease Drug Development.- 3. Mitochondrial Involvement in Mental Disorders; Energy Metabolism, Genetic and Environmental Factors.- 4. Lymphocytes, Platelets, Erythrocytes and Exosomes as Possible Biomarkers for Alzheimer's Disease Clinical Diagnosis.- 5. Genetic Risk Factors for Alzheimer Disease: Emerging Roles of Microglia in Disease Pathomechanisms.- 6. Neuroimaging Studies of Cognitive Function in Schizophrenia.- 7. The Role of Biomarkers in Psychiatry.- 8. Interactome Studies of Psychiatric Disorders.- 9. MicroRNAs in Major Depressive Disorder.- 10. Proteomic Markers for Depression.- 11. Advances in Biomarker Studies in Autism Spectrum Disorders.- 12. Proteomic Investigations of Autism Spectrum Disorder: Past Findings, Current Challenges and Future Prospects.- 13. Role of the Gut Microbiome in Autism Spectrum Disorders.- 14. Metabolomic Biomarkers in Mental Disorders: Bipolar Disorder and Schizophrenia.- 15. Early Detection and Treatment of Patients with Alzheimer’s Disease: Future Perspectives.
£999.99
Springer Nature Switzerland AG Mathematical Modelling of Haemodialysis:
Book SynopsisBeginning with an introduction to kidney function, renal replacement therapies, and an overview of clinical problems associated with haemodialysis, this book explores the principles of the short-term baroreflex regulation of the cardiovascular system and the mechanisms of water and solute transport across the human body from a mathematical model perspective. It synthesizes theoretical physiological concepts and practical aspects of mathematical modelling needed for simulation and quantitative analysis of the haemodynamic response to dialysis therapy.Including an up-to-date review of the literature concerning the modelled physiological mechanisms and processes, the book serves both as an overview of transport and regulatory mechanisms related to the cardiovascular system and body fluids and as a useful reference for the study and development of mathematical models of dynamic physiological processes.Mathematical Modelling of Haemodialysis: Cardiovascular Response, Body Fluid Shifts, and Solute Kinetics is intended for researchers and graduate students in biomedical engineering, physiology, or medicine interested in mathematical modelling of cardiovascular dynamics and fluid and solute transport across the human body, both under physiological conditions and during haemodialysis therapy.Table of ContentsContents1. INTRODUCTION ................................................................................................................................ 11.1. KIDNEY FUNCTION ....................................................................................................................... 11.2. CHRONIC KIDNEY FAILURE .......................................................................................................... 21.3. HAEMODIALYSIS .......................................................................................................................... 51.4. CLINICAL PROBLEMS IN HAEMODIALYSIS .................................................................................... 71.5. MATHEMATICAL MODELLING .................................................................................................... 10REFERENCES ....................................................................................................................................... 132. MODEL DESCRIPTION ................................................................................................................... 172.1. OVERVIEW ................................................................................................................................. 172.2. CARDIOVASCULAR SYSTEM ....................................................................................................... 182.2.1. Cardiovascular compartments ..................................................................................... 182.2.2. Vascular resistance ...................................................................................................... 202.2.3. Cardiac output ............................................................................................................. 222.2.4. Baroreflex .................................................................................................................... 242.2.5. Haematocrit ................................................................................................................. 292.2.6. Arteriovenous access ................................................................................................... 312.2.7. Assumptions ................................................................................................................ 322.3. WATER AND SOLUTE KINETICS .................................................................................................. 332.3.1. Fluid compartments ..................................................................................................... 332.3.2. Small solute kinetics .................................................................................................... 342.3.3. Capillary filtration ....................................................................................................... 382.3.4. Protein transport .......................................................................................................... 422.3.5. Lymph flow ................................................................................................................. 432.3.6. Cellular water transport ............................................................................................... 442.3.7. Dialyzer mass exchange .............................................................................................. 462.3.8. Blood mixing ............................................................................................................... 472.4. MODEL INTEGRATION ................................................................................................................ 492.5. PARAMETERS ASSIGNMENT ........................................................................................................ 502.5.1. Cardiovascular system parameters .............................................................................. 502.5.2. Transport parameters ................................................................................................... 532.6. INITIAL CONDITIONS .................................................................................................................. 552.6.1. Normal man ................................................................................................................. 552.6.2. Patient before dialysis.................................................................................................. 592.7. HAEMODIALYSIS MODELLING .................................................................................................... 642.8. COMPUTATIONAL IMPLEMENTATION ......................................................................................... 66REFERENCES ....................................................................................................................................... 673. MODEL ANALYSIS .......................................................................................................................... 773.1. SENSITIVITY ANALYSIS .............................................................................................................. 773.1.1. Overview ..................................................................................................................... 773.1.2. Sensitivity to assigned parameters ............................................................................... 813.1.3. Sensitivity to equation parameters ............................................................................... 853.2. MODEL VALIDATION .................................................................................................................. 883.2.1. Lublin data ................................................................................................................... 883.2.2. Literature data .............................................................................................................. 963.3. MODEL LIMITATIONS ............................................................................................................... 100REFERENCES ..................................................................................................................................... 1024. SIMULATION RESULTS ............................................................................................................... 1044.1. HAEMODYNAMICS ................................................................................................................... 1044.2. VASCULAR REFILLING ............................................................................................................. 1074.3. WATER SHIFTS ......................................................................................................................... 1104.4. SOLUTE KINETICS .................................................................................................................... 1114.5. HAEMATOCRIT CHANGES ......................................................................................................... 1144.6. IMPACT OF BAROREFLEX AND CARDIAC PARAMETERS ............................................................. 1164.7. IMPACT OF DIALYSIS SETTINGS ................................................................................................ 121REFERENCES ..................................................................................................................................... 1225. CONCLUSIONS ............................................................................................................................... 124REFERENCES ..................................................................................................................................... 126
£999.99
Springer Nature Switzerland AG Metabolic Pathway Design: A Practical Guide
Book SynopsisThis textbook presents solid tools for in silico engineering biology, offering students a step-by-step guide to mastering the smart design of metabolic pathways. The first part explains the Design-Build-Test-Learn-cycle engineering approach to biology, discussing the basic tools to model biological and chemistry-based systems. Using these basic tools, the second part focuses on various computational protocols for metabolic pathway design, from enzyme selection to pathway discovery and enumeration. In the context of industrial biotechnology, the final part helps readers understand the challenges of scaling up and optimisation. By working with the free programming language Scientific Python, this book provides easily accessible tools for studying and learning the principles of modern in silico metabolic pathway design. Intended for advanced undergraduates and master’s students in biotechnology, biomedical engineering, bioinformatics and systems biology students, the introductory sections make it also useful for beginners wanting to learn the basics of scientific coding and find real-world, hands-on examples.Table of Contents1. Introduction to engineering biology 1.1. The engineering waves of biology: genetic, genomics, systems and synthetic 1.2. Industrial biotechnology in revolutions 1.3. The present: Design-Build-Test-Learn foundries 1.4. The future: automation, cloud biotechnology and artificial intelligence 2. Understanding the cell: genome-scale engineering 2.1. Systems biology models 2.2. Model reconstruction from omics to big data 2.3. Model simulation through constraint-based approaches 2.4. Modeling dynamics 3. Sources of natural chemical diversity 3.1. Understanding the mechanisms of enzyme innovation and adaptation 3.2. Knowledge-based encodings for chemical reactions 3.3. Modeling enzyme promiscuity using reaction rules and molecular signatures 3.4. Enumerating chemical diversity 4. Enzyme discovery and selection 4.1. Discovery through sequence homology 4.2. Discovery through reaction homology 4.3. Screening and selection through directed evolution 5. The metabolic space 5.1. Metabolic phenotypes 5.2. The metabolic spaces of the biosphere 5.3. Extended, non-natural and outer metabolic spaces 6. Pathway discovery 6.1. Defining chemical targets 6.2. Retrosynthetic analysis of the metabolic scope 6.3. Pathway enumeration 6.4. Pathway ranking 7. Pathway design 7.1. Pathway selection 7.2. Enzyme selection 7.3. Genetic parts selection 7.4. Combinatorial design 7.5. Experimental design 8. Chassis redesign 8.1. Knock-outs 8.2. Knock-ins 8.3. Knowledge-based redesign 9. Learning and adaptation 9.1. Principles of machine learning 9.2. Deep learning 9.3. Smart parts selection 9.4. Smart experimental redesign 10. Scaling-up and derivatization 10.1. Scale-up 10.2 Derivatization 10.3 Agile biodesign
£999.99
Springer Nature Switzerland AG Physics of Biological Oscillators: New Insights
Book SynopsisThis book, based on a selection of invited presentations from a topical workshop, focusses on time-variable oscillations and their interactions. The problem is challenging, because the origin of the time variability is usually unknown. In mathematical terms, the oscillations are non-autonomous, reflecting the physics of open systems where the function of each oscillator is affected by its environment. Time-frequency analysis being essential, recent advances in this area, including wavelet phase coherence analysis and nonlinear mode decomposition, are discussed. Some applications to biology and physiology are described.Although the most important manifestation of time-variable oscillations is arguably in biology, they also crop up in, e.g. astrophysics, or for electrons on superfluid helium. The book brings together the research of the best international experts in seemingly very different disciplinary areas. Table of ContentsChapter 1. Introduction.- Part 1. Theory.- Chapter 2. Phase and amplitude description of complex oscillatory patterns in reaction diffusion systems.- Chapter 3. Reduced phase models of oscillatory neural networks.- Chapter 4. Nonautonomous attractors.- Chapter 5. Normal hyperbolicity for non-autonomous oscillators and oscillator networks.- Chapter 6. Synchronisation and non-autonomicity.- Chapter 7. Non-asymptotic-time dynamics.- Chapter 8. Synchronization of coupled oscillators – phase transitions and entropy production.- Part 2. Model-Driven and Data-Driven approaches.- Chapter 9. On localised modes in bio-inspired hierarchically organised oscillatory chains.- Chapter 10. Useful transformations from non-autonomous to autonomous systems.- Chapter 11. Coupling functions in neuroscience.- Chapter 12. Phase reconstruction with iterated Hilbert transforms.- Part 3. Biological Oscillators.- Chapter 13. Oscillations in yeast glycolysis Lars Folke Olsen and Anita Lunding.- Chapter 14. Oscillations, rhythms and synchronized time bases: the key signatures of life.- Chapter 15. Glycolytic oscillations in cancer cells.- Chapter 16. Mechanism and consequence of vasomotion.- Chapter 17. Biological oscillations of vascular origin and their meaning: in vivo studies of arteriolar vasomotion.- Chapter 18. Phase coherence of finger skin blood flow oscillations induced by controlled breathing in humans.- Chapter 19. Complexity-based analysis of microvascular blood flow in human skin.- Chapter 20. Modulations of heart rate, ECG, and cardio-respiratory coupling observed in polysomnography.- Chapter 21. Brain morphological and functional networks: implications for neurodegeneration.- Part 4. Applications.- Chapter 22. Predicting epileptic seizures – an update.- Chapter 23. General anæsthesia and oscillations in human physiology: the BRACCIA project.- Chapter 24. Processed EEG as a measure of brain activity during anaesthesia.- Chapter 25. Medical products inspired by biological oscillators: intermittent pneumatic compression and the microcirculation.- Chapter 26. Phase coherence between cardiovascular oscillations in malaria: the basis for a possible diagnostic test.- Part 5. Outlook.- Chapter 27. Outlook.
£999.99
Springer Nature Switzerland AG Modeling Excitable Tissue: The EMI Framework
Book SynopsisThis open access volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells.Table of ContentsDerivation of a cell-based mathematical model of excitable cells.- A cell-based model for ionic electrodiffusion in excitable tissue.- Modeling cardiac mechanics on a subcellular scale.- Operator splitting and finite difference schemes for solving the EMI model.- Solving the EMI equations using finite element methods.- Iterative solvers for EMI models.- Improving neural simulations with the EMI model.- Index.
£999.99
Springer Nature Switzerland AG Stochastic Dynamics in Computational Biology
Book SynopsisThe aim of this book is to provide a well-structured and coherent overview of existing mathematical modeling approaches for biochemical reaction systems, investigating relations between both the conventional models and several types of deterministic-stochastic hybrid model recombinations. Another main objective is to illustrate and compare diverse numerical simulation schemes and their computational effort. Unlike related works, this book presents a broad scope in its applications, from offering a detailed introduction to hybrid approaches for the case of multiple population scales to discussing the setting of time-scale separation resulting from widely varying firing rates of reaction channels. Additionally, it also addresses modeling approaches for non well-mixed reaction-diffusion dynamics, including deterministic and stochastic PDEs and spatiotemporal master equations. Finally, by translating and incorporating complex theory to a level accessible to non-mathematicians, this book effectively bridges the gap between mathematical research in computational biology and its practical use in biological, biochemical, and biomedical systems.Trade Review“The primary audience is graduate students and researchers. … content would have to be selected and formatted for lectures carefully. It is most suitable for independent study, and is especially useful as a reference text for the foundations of techniques used in current research. The choice of references are excellent and very current: it is a good survey of both the relevant foundations and current state of research … and would be a useful starting point for a literature review.” (Chay Paterson, zbMATH 1467.92005, 2021)Table of ContentsIntroduction.- Well-mixed stochastic reaction kinetics.- Population scaling.- Temporal scaling.- Spatial scaling.- Summary and Outlook.- Mathematical background.
£999.99
Springer Nature Switzerland AG Next Generation Sequencing and Data Analysis
Book SynopsisThis textbook provides step-by-step protocols and detailed explanations for RNA Sequencing, ChIP-Sequencing and Epigenetic Sequencing applications. The reader learns how to perform Next Generation Sequencing data analysis, how to interpret and visualize the data, and acquires knowledge on the statistical background of the used software tools. Written for biomedical scientists and medical students, this textbook enables the end user to perform and comprehend various Next Generation Sequencing applications and their analytics without prior understanding in bioinformatics or computer sciences.Table of Contents
£999.99
Springer Nature Switzerland AG Non-Local Cell Adhesion Models: Symmetries and
Book SynopsisThis monograph considers the mathematical modeling of cellular adhesion, a key interaction force in cell biology. While deeply grounded in the biological application of cell adhesion and tissue formation, this monograph focuses on the mathematical analysis of non-local adhesion models. The novel aspect is the non-local term (an integral operator), which accounts for forces generated by long ranged cell interactions. The analysis of non-local models has started only recently, and it has become a vibrant area of applied mathematics. This monograph contributes a systematic analysis of steady states and their bifurcation structure, combining global bifurcation results pioneered by Rabinowitz, equivariant bifurcation theory, and the symmetries of the non-local term. These methods allow readers to analyze and understand cell adhesion on a deep level.Trade Review“Modelers who wish to use similar approaches in their modeling will find this a good source of base information, as well as a valuable guide for initiating similar analyses for their own models. Analysts wishing to expand our understanding … will find this book a fine building block. It could also prove a useful resource for graduate students looking for potential projects … . this monograph is an admirable attempt … and hopefully will inspire significant further study.” (Kevin Painter, SIAM Review, Vol. 64 (1), March, 2022)“The detailed analysis, as presented here, shows a stimulating interaction between model symmetries, mathematical analysis, and biological reality, which probably are inspired the authors and hopefully the readers of this book too.” (Andrey Zahariev, zbMATH 1473.92001, 2021)Table of ContentsIntroduction.- Preliminaries.- The Periodic Problem.- Basic Properties.- Local Bifurcation.- Global Bifurcation.- Non-local Equations with Boundary Conditions.- No-flux Boundary Conditions.- Discussion and future directions.
£999.99
Springer Nature Switzerland AG Computational Diffusion MRI: International MICCAI
Book SynopsisThis book gathers papers presented at the Workshop on Computational Diffusion MRI, CDMRI 2020, held under the auspices of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), which took place virtually on October 8th, 2020, having originally been planned to take place in Lima, Peru.This book presents the latest developments in the highly active and rapidly growing field of diffusion MRI. While offering new perspectives on the most recent research challenges in the field, the selected articles also provide a valuable starting point for anyone interested in learning computational techniques for diffusion MRI. The book includes rigorous mathematical derivations, a large number of rich, full-colour visualizations, and clinically relevant results. As such, it is of interest to researchers and practitioners in the fields of computer science, MRI physics, and applied mathematics. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice.Table of Contents
£999.99
Springer Nature Switzerland AG Bioimage Data Analysis Workflows ‒ Advanced Components and Methods
Book SynopsisThis open access textbook aims at providing detailed explanations on how to design and construct image analysis workflows to successfully conduct bioimage analysis. Addressing the main challenges in image data analysis, where acquisition by powerful imaging devices results in very large amounts of collected image data, the book discusses techniques relying on batch and GPU programming, as well as on powerful deep learning-based algorithms. In addition, downstream data processing techniques are introduced, such as Python libraries for data organization, plotting, and visualizations. Finally, by studying the way individual unique ideas are implemented in the workflows, readers are carefully guided through how the parameters driving biological systems are revealed by analyzing image data. These studies include segmentation of plant tissue epidermis, analysis of the spatial pattern of the eye development in fruit flies, and the analysis of collective cell migration dynamics. The presented content extends the Bioimage Data Analysis Workflows textbook (Miura, Sladoje, 2020), published in this same series, with new contributions and advanced material, while preserving the well-appreciated pedagogical approach adopted and promoted during the training schools for bioimage analysis organized within NEUBIAS – the Network of European Bioimage Analysts. This textbook is intended for advanced students in various fields of the life sciences and biomedicine, as well as staff scientists and faculty members who conduct regular quantitative analyses of microscopy images. Table of ContentsIntroduction.- Batch Processing Methods in ImageJ.- Python: Data Handling, Analysis and Plotting.- Building a Bioimage Analysis Workflow Using Deep Learning.- GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ.- How to Do the Deconstruction of Bioimage Analysis Workflows: A Case Study with SurfCut.- i.2.i. with the (Fruit) Fly: Quantifying Position Effect Variegation in Drosophila Melanogaster.- A MATLAB Pipeline for Spatiotemporal Quantification of Monolayer Cell Migration.
£999.99
Springer Nature Switzerland AG Advances in Plant Omics and Systems Biology
Book SynopsisIn the post-genomic era, several plant species have been sequenced and massive genomic information is now available which contributed to expand the development of novel technical strategies for the study of additional levels of biological information of plant species. This book focuses on the “omics” approaches together with systems analysis of several different plant species, which have revealed very interesting variations on the cellular responses at the protein, transcript and metabolite levels in response to changes environmental conditions. The volume covers recent technological advances in the area of “omics” and synthesizes recent findings of the field of plant “omics” and systems biology together along with techniques that can be applied for such studies.Table of Contents1. Introduction to plant omics and systems biology2. Modern approaches for transcriptome analyses in plants3. Plant proteomics and systems biology4. Subcellular proteomics as a unified approach of experimental localizations and computed prediction data for Arabidopsis and crop plants5. The contribution of metabolomics to systems biology: current applications bridging genotype and phenotype in plant science6. Interactomes: Experimental and in silico approaches7. Probabilistic graphical models applied to biological networks8. Cataloging posttranslational modifications in plant histones9. Current challenges in plant systems biology10. Contribution of omics and systems biology to plant biotechnology
£999.99
Springer Nature Switzerland AG Applying Quantitative Bias Analysis to
Book SynopsisThis textbook and guide focuses on methodologies for bias analysis in epidemiology and public health, not only providing updates to the first edition but also further developing methods and adding new advanced methods. As computational power available to analysts has improved and epidemiologic problems have become more advanced, missing data, Bayes, and empirical methods have become more commonly used. This new edition features updated examples throughout and adds coverage addressing: Measurement error pertaining to continuous and polytomous variables Methods surrounding person-time (rate) data Bias analysis using missing data, empirical (likelihood), and Bayes methods A unique feature of this revision is its section on best practices for implementing, presenting, and interpreting bias analyses. Pedagogically, the text guides students and professionals through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and measurement errors, and subsequent sections extend these methods to probabilistic bias analysis, missing data methods, likelihood-based approaches, Bayesian methods, and best practices.Table of ContentsPart I: Introduction1 Introduction and Objectives1 Introduction 1.2 Nonrandomized Epidemiologic Research 1.3 The Treatment of Uncertainty in Nonrandomized Research 1.4 Objective 1.5 Conclusion 2 A Guide to Implementing Quantitative Bias Analysis 2.1 Introduction 2.2 Reducing Error 2.3 Reducing Error by Design 2.4 Reducing Error in the Analysis 2.5 Quantifying Error 2.6 Evaluating the Potential Value of Quantitative Bias Analysis2.7 Planning for Bias Analysis 2.8 Creating a Data Collection Plan for Bias Analysis 2.9 Creating an Analytic Plan for a Bias Analysis 2.10 Bias Analysis Techniques 2.11 Introduction to Inference 2.12 Conclusion 3 Data Sources for Bias Analysis 3.1 Bias Parameters 3.2 Internal Data Sources 3.3 Selection Bias 3.4 Uncontrolled Confounder 3.5 Information Bias 3.6 Limitations of Internal Validation Studies 3.7 External Data Sources 3.8 Selection Bias 3.9 Uncontrolled Confounder 3.10 Information Bias 3.11 SummaryPart II: Preliminary Methods to Adjust for Systematic Errors 4 Selection Bias 4.1 Introduction 4.2 Definitions and Terms4.3 Motivation for Bias Analysis 4.4 Sources of Data 4.5 Simple Correction for Differential Initial Participation 4.6 Simple Correction for Differential Loss-to-Follow-up4.7 Sensitivity Analysis of the Bias Analysis 4.7 Signed Directed Acyclic Graphs to Estimate the Direction of Bias 5 Uncontrolled Confounders 5.1 Introduction 5.2 Definitions and Terms5.3 Motivation for Bias Analysis 5.4 Sources of Data5.5 Introduction to Simple Bias Analysis 5.6 Implementation of Simple Bias Analysis5.7 Sensitivity Analysis of the Bias Analysis 5.8 Uncontrolled Confounder in the Presence of Effect Modification 5.9 Polytomous Confounders 5.10 Bounding the Bias Limits of Uncontrolled Confounding5.10 Signed Directed Acyclic Graphs to Estimate the Direction of Bias5.11 Uncontrolled Confounding with Continuous Outcome, Exposure, or Confounder 6 Misclassification 6.1 Introduction 6.2 Definitions and Terms6.3 Motivation for Bias Analysis6.4 Sources of Data6.5 Calculating Classification Bias Parameters from Validation Data6.6 Exposure Misclassification for Dichotomous Exposures6.7 Exposure Misclassification for Polytomous Exposures6.8 Disease Misclassification 6.9 Covariate Misclassification 6.10 Dependent Misclassification6.11 Sensitivity Analysis of the Bias Analysis6.12 Adjusting Standard Errors for Corrections 7 Measurement Error for Continuous Variables7.1 Introduction7.2 Definition and Terms7.3 Motivation for Bias Analysis7.4 Exposure Measurement error7.5 Outcome Measurement error7.6 Covariate Measurement Error7.7 Correlated errors 8 Multiple Bias Modeling 8.1 Introduction 8.2 Order of Bias Analyses8.3 Multiple Bias Analysis, Simple MethodsPart III: Methods to Incorporate Systematic and Random Errors 9 Bias Analysis by Simulation for Summary Level Data9.1 Introduction 9.2 Probability Distributions 9.3 Correlated Distributions 9.4 Analytic Approach 9.5 Exposure Misclassification Implementation9.6 Exposure Measurement Error Implementation 9.7 Uncontrolled Confounding Implementation 9.8 Selection Bias Implementation 10 Bias Analysis by Simulation for Record Level Data10.1 Introduction 10.2 Analytic Approach 10.3 Exposure Misclassification Implementation10.4 Exposure Measurement Error Implementation 10.5 Uncontrolled Confounding Implementation 10.6 Selection Bias Implementation 11 Combining Systematic and Random Error11.1 Analytic approximation11.2 Resampling approximation11.3 Bootstrapping 12 Bias Analysis by Missing Data Methods12.1 Introduction 12.2 Analytic Approach 12.3 Exposure Misclassification Implementation12.4 Exposure Measurement Error Implementation 12.5 Uncontrolled Confounding Implementation 12.6 Selection Bias Implementation 12.7 Combining Systematic and Random Error 13 Bias Analysis by Empirical Methods13.1 Introduction 13.2 Analytic Approach 13.3 Exposure Misclassification Implementation 13.4 Exposure Measurement Error Implementation13.5 Uncontrolled Confounding Implementation 13.6 Selection Bias Implementation 13.7 Combining Systematic and Random Error 14 Bias Analysis by Bayesian Methods14.1 Introduction 14.2 Analytic Approach 14.3 Exposure Misclassification Implementation 14.4 Exposure Measurement Error Implementation 14.5 Uncontrolled Confounding Implementation 14.6 Selection Bias Implementation 14.7 Combining Systematic and Random Error 15 Multiple Bias Modeling15.1 Multiple Bias Analysis, Probabilistic Methods15.2 Multiple Bias Analysis, Missing Data Methods15.3 Multiple Bias Analysis, Empirical Methods15.4 Multiple Bias Analysis, Bayesian Methods Part IV: Good Practices16 Good Practices for Quantitative Bias Analysis16.1 Selection of bias sources16.2 Selection of analytic strategies16.3 Selection of values to assign to bias parameters17 Presentation and Inference 17.1 Presentation of simple and multidimensional bias analyses17.2 Presentation of advanced bias analyses 17.3 Inference 17.4 Caveats and Cautions 18 References 19 Index
£999.99
Springer Nature Switzerland AG Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, Fr
Book SynopsisThis book constitutes the refereed proceedings of the Third MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the First MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with MICCAI 2021, in September/October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning. Table of ContentsDomain Adaptation and Representation Transfer.- A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis.- Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning.- FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation.- Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation.- Self-Supervised Multimodal Generalized Zero Shot Learning For Gleason Grading.- Self-Supervised Learning of Inter-Label Geometric Relationships For Gleason Grade Segmentation.- Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training.- Transductive image segmentation: Self-training and effect of uncertainty estimation.- Unsupervised Domain Adaptation with Semantic Consistency across Heterogeneous Modalities for MRI Prostate Lesion Segmentation.- Cohort Bias Adaptation in Federated Datasets for Lesion Segmentation.- Exploring Deep Registration Latent Spaces.- Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift.- Unsupervised Domain Adaption via Similarity-based Prototypes for Cross-Modality Segmentation.- A ordable AI and Healthcare.- Classification and Generation of Microscopy Images with Plasmodium Falciparum via Arti cial Neural Networks using Low Cost Settings.- Contrast and Resolution Improvement of POCUS Using Self-Consistent CycleGAN.- Low-Dose Dynamic CT Perfusion Denoising without Training Data.- Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory.- COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19Patient Cases from Point-of-care Ultrasound Imaging.- Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning.- Sickle Cell Disease Severity Prediction from Percoll Gradient Images using Graph Convolutional Networks.- Continual Domain Incremental Learning for Chest X-ray Classification in Low-Resource Clinical Settings.- Deep learning based Automatic detection of adequately positioned mammograms.- Can non-specialists provide high quality Gold standard labels in challenging modalities.
£999.99
Springer Nature Switzerland AG Deep Generative Models, and Data Augmentation, Labelling, and Imperfections: First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Book SynopsisThis book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorous study of medical data related to machine learning systems. Table of ContentsDGM4MICCAI 2021 - Image-to-Image Translation, Synthesis.- Frequency-Supervised MRI-to-CT Image Synthesis.- Ultrasound Variational Style Transfer to Generate Images Beyond the Observed Domain.- 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images.- Bridging the gap between paired and unpaired medical image translation.- Conditional generation of medical images via disentangled adversarial inference. -CT-SGAN: Computed Tomography Synthesis GAN.- Hierarchical Probabilistic Ultrasound Image Inpainting via Variational Inference.- CaCL: class-aware codebook learning for weakly supervised segmentation on diffuse image patterns.- BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification.- Evaluating GANs in medical imaging.- DGM4MICCAI 2021 - AdaptOR challenge.- Improved Heatmap-based Landmark Detection.- Cross-domain Landmarks Detection in Mitral Regurgitation.- DALI 2021.- Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph.- Semi-supervised Surgical Tool Detection Based on Highly Confident Pseudo Labeling and Strong Augmentation Driven Consistency.- One-shot Learning for Landmarks Detection.- Compound Figure Separation of Biomedical Images with Side Loss.- Data Augmentation with Variational Autoencoders and Manifold Sampling.- Medical image segmentation with imperfect 3D bounding boxes.- Automated Iterative Label Transfer Improves Segmentation of Noisy Cells in Adaptive Optics Retinal Images.- How Few Annotations are Needed for Segmentation using a Multi-planar U-Net?.- FS-Net: A New Paradigm of Data Expansion for Medical Image Segmentation.- An Efficient Data Strategy for the Detection of Brain Aneurysms from MRA with Deep Learning.- Evaluation of Active Learning Techniques on Medical Image Classification with Unbalanced Data Distributions.- Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation.- Label Noise in Segmentation Networks : Mitigation Must Deal with Bias.- DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization.- MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation.
£999.99
Springer Nature Switzerland AG Soft Computing for Data Analytics, Classification
Book SynopsisThis book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control. The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.Table of ContentsChapter 1: An Optimization of Fuzzy Rough Set Nearest Neighbor Classification Model using Krill Herd Algorithm for Sentiment Text Analytics.- Chapter 2: Fuzzy Wavelet Neural Network with Social Spider Optimization Algorithm for Pattern Recognition in Medical Domain.- Chapter 3: Fuzzy with Gravitational Search Algorithm Tuned Radial Basis Function Network for Medical Disease Diagnosis and Classification Model.- Chapter 4: Optimal Neutrosophic Rules based Feature Extraction for Data Classification using Deep Learning Model.- Chapter 5: Self-Evolving Interval Type-2 Fuzzy Neural Network Design for The Synchronization of Chaotic Systems.- Chapter 6: Categorizing Relations via Semi-Supervised Learning using a Hybrid Tolerance Rough Sets and Genetic Algorithm Approach.- Chapter 7: Data-driven Fuzzy C-Means Equivalent Turbine-governor for Power System Frequency Response.- Chapter 8: Multicriteria group decision making using a novel similarity measure for triangular fuzzy numbers based on their newly defined expected values and variances.- Chapter 9: Bangla Printed Character Generation from Handwritten Character Using GAN.
£999.99
Springer Nature Switzerland AG Current Topics in Soil Science: An Environmental Approach
Book SynopsisSoil is an important but often neglected element of the climate system. It is the second largest carbon store, or ‘sink’, after the oceans. Despite being a fundamental resource that supports all kinds of life on Earth, concerns related to soil are often not included as an important environmental issue. Climate changes put soil under pressure. The increasing concentration of carbon dioxide in our atmosphere may cause the microbes in the soil to work faster to break down organic matter, potentially releasing even more carbon dioxide. The soil moisture content is being constantly affected by rising temperatures and changes in precipitation patterns and future projections show that this may continue. This book presents current environmental issues and their remedies for soil which are mainly based on soil degradation, soil pollution and the effect of climate change on the soil. Adding xenobiotic chemicals or other alterations in the natural soil environment for agricultural, industrial or urban purposes result in a decline in the soil quality due to improper use or poor management, which is a serious environmental problem. The book is divided into five parts - soil science, soil physics, soil chemistry, soil biology and soil environment. The first part “Soil Science” serves as the introduction to the book and discusses some common topics such as soil formation, mineralogy, taxonomy, quality and analytical techniques. The second part “Soil Physics” is mainly concerned with the physical properties and processes of soil and their association with effects on air, water and temperature. Soil Chemistry, the third part, discusses the chemical reactions and processes between inorganic and organic components. The fourth part “Soil Biology” explains the biological properties and processes of the soil, with special concern to microbial diversity and its effect on the ecology. Lastly, the fifth part “Soil Environment” discusses the current environmental problems such as climate change and soil pollution, including processes to mitigate these issues through carbon sequestration, nutrient management and land management.Table of Contents
£999.99
Springer Nature Switzerland AG Contemporary Methods in Bioinformatics and
Book SynopsisThis book gathers selected papers from the First International Symposium on Bioinformatics and Biomedicine. Issues related to medicine and health care constitute one of the grand challenges faces by the mankind, and this naturally implies a growing interest in these problems among both researchers and scholars, politicians and policymakers, as well as economist. The present values which gather selected papers from the First International Symposium on Bioinformatics and Biomedicine (BioInfoMed’2020) is a recent response to this interests. In the subsequent sections and chapters, it covers a multitude of various topics related to bioinformatics, biomedicine, bioenginering, as well as a broadly perceives healthcare. Issues related to decision making in bioinformatics, biomedicine and health care, mathematical modelling in biomedicine and health care, artificial intelligence in biomedicine and health care, uncertainty and imprecision, notably intuitionistic fuzzy sets with applications in bioinformatics and biomedicine, biomedical approaches and applications, biomedical imaging and image processing, and excitable structures and motor activity are covered.
£999.99
Springer International Publishing AG Applied Multivariate Statistics with R
Book SynopsisNow in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary.New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.Table of ContentsChapter 1. Introduction.- Chapter 2. Elements of R.- Chapter 3. Graphical Displays.- Chapter 4. Basic Linear Algebra.- Chapter 5. The Univariate Normal Distribution.- Chapter 6. Bivariate Normal Distribution.- Chapter 7. Multivariate Normal Distribution.- Chapter 8. Factor Methods.- Chapter 9. Multivariate Linear Regression.- Chapter 10. Discrimination and Classification.- Chapter 11. Clustering Methods.- Chapter 12. Basic Models for Longitudinal Data.- Chapter 13. Time Series Models.- Chapter 14. Other Useful Methods.
£75.99
De Gruyter One-Locus and Multi-Locus Theory and Recombination
Book SynopsisThe book will benefit a reader with a background in physical sciences and applied mathematics interested in the mathematical models of genetic evolution. In the first chapter, we analyze several thought experiments based on a basic model of stochastic evolution of a single genomic site in the presence of the factors of random mutation, directional natural selection, and random genetic drift. In the second chapter, we present a more advanced theory for a large number of linked loci. In the third chapter, we include the effect of genetic recombination into account and find out the advantage of sexual reproduction for adaptation. These models are useful for the evolution of a broad range of asexual and sexual populations, including virus evolution in a host and a host population.
£150.10
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Free-Radical-Induced DNA Damage and Its Repair: A Chemical Perspective
Book SynopsisThe free-radical chemistry of DNA had been discussed in some detail in 1987 in my book The Chemical Basis of Radiation Biology. Obviously, the more recent developments and the concomitant higher level of understanding of mechanistic details are missing. Moreover, in the living cell, free-radical DNA damage is not only induced by ionizing radiation, but free-radical-induced DNA damage is a much more general phenomenon. It was, therefore, felt that it is now timely to review our present knowledge of free-radical-induced DNA damage induced by all conceivable free-radical-generating sources. Originally, it had been thought to include also a very important aspect, the repair of DNA damage by the cell’s various repair enzymes. Kevin Prise (Cancer Campaign, Gray Laboratory, L- don) was so kind to agree to write this part. However, an adequate description of this strongly expanding area would have exceeded the allocated space by much, and this section had to be omitted. The directors of the Max-Planck-Institut für Strahlenchemie (now MPI für Bioanorganische Chemie), Karl Wieghardt and Wolfgang Lubitz, kindly allowed me to continue to use its facilities after my retirement in 2001. Notably, our - brarian, Mrs. Jutta Theurich, and her right-hand help, Mrs. Rosemarie Schr- er, were most helpful in getting hold of the literature. I thank them very much. Without their constant help, this would have been very difficult indeed.Table of ContentsFormation of Reactive Free Radicals in an Aqueous Environment.- The Hydroxyl Radical.- Hydrogen Atom and Hydrated Electron.- Inorganic Radicals.- Carbon-Centered Radicals.- Heteroatom-Centered Radicals.- Peroxyl Radicals.- Polymer Radicals.- Nucleobases, Nucleosides and Nucleotides.- Polynucleotides and Single-Stranded DNA Fragments.- DNA and Double-Stranded Oligonucleotides.- Methods.
£237.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Valuation in Life Sciences: A Practical Guide
Book SynopsisValuation is a hot topic among life sciences professionals. There is no clear understanding on how to use the different valuation approaches and how to determine input parameters. Some do not value at all, arguing that it is not possible to get realistic and objective numbers out of it. Some claim it to be an art. In the following chapters we will provide the user with a concise val- tion manual, providing transparency and practical insight for all dealing with valuation in life sciences: project and portfolio managers, licensing executives, business developers, technology transfer managers, entrep- neurs, investors, and analysts. The purpose of the book is to explain how to apply discounted cash flow and real options valuation to life sciences p- jects, i.e. to license contracts, patents, and firms. We explain the fun- mentals and the pitfalls with case studies so that the reader is capable of performing the valuations on his own and repeat the theory in the exercises and case studies. The book is structured in five parts: In the first part, the introduction, we discuss the role of the players in the life sciences industry and their p- ticular interests. We describe why valuation is important to them, where they need it, and the current problems to it. The second part deals with the input parameters required for valuation in life sciences, i.e. success rates, costs, peak sales, and timelines.Trade ReviewFrom the reviews:"‘Valuation in Life Sciences: A Practical Guide’ leads readers step by step through the theory of life sciences valuation. … it is an important read for biotech investors. … It is the first book of its kind that combines industry data and valuation theory together with practical advice. It includes valuation techniques and tools that allow investors to pick undervalued biotech stocks." (GEN – genetic engineering news, February, 2007)"Valuation in Life Sciences: A Practical Guide opens up the black box and describes, step by step, a relatively simple procedure for quantitative valuation in life sciences. The book guides the reader through the recommended procedure of quantitative valuation … . This book is recommended to those who would like to acquire a profound understanding of quantitative valuation and use a simple spreadsheet approach of their own cases." (Rudolf Gygax, Nature Biotechnology, Vol. 25 (9), 2007)"This book provides some interesting examples – for business development and licensing executives – of where ROV may be used. … For the general reader and business development executive there is a good explanation of ROV and its applications in life science … . The book may also be of interest to biotechnology company business development executives and university technology transfer officers … . this book is essential reading as it not only provides the mathematical theory but also the applications in different types of deals." (Roger Davies, Business Development & Licensing Journal, Issue 4, 2007)From the reviews of the third edition:“The content and discussion contained in ‘Valuation in Life Sciences’ is excellent. The Swiss authors provide a practical guide to what mathematical tools gives meaningful valuations … . Recommended for anyone planning to be involved in the development of a biotech venture.” (C. Mathews, Amazon, December, 2010)“The authors always keep the necessary rigour to make the book a valuable reference to professionals such as business developers, investment bankers, or analysts. … it an excellent textbook for students as well. … ‘Valuation in Life Sciences’ addresses also the financial beginner with guided and easy-to-understand examples in Excel. I highly recommend the book to everyone in financial biotech.” (Amazon, November, 2009)“This book is an excellent overview of business development valuation and great for those who want to catch up on some techniques and tools. It gives an accurate picture of BD in pharma. For those in the business … it remains a very valuable tool.” (J. Serres, Amazon, March, 2009)Table of ContentsBasics of Valuation.- Valuation in Life Sciences.- Exercises.- Case Studies.
£49.99
Springer Computer science to the Point: Computer Science for Life Sciences Students and Other Non-Computer Scientists
Book SynopsisThis textbook is aimed at students of non-specialist courses with computer science components. Special emphasis is placed on the so-called life sciences, such as medical technology, rescue engineering, biotechnology, environmental engineering or process engineering. The textbook is suitable for readers in study and practice who want to get an introduction to computer science. The special feature of this book is the problem-based approach, as well as the exercises designed according to different taxonomy levels.Table of ContentsIntroduction to computer science.- Basics of programming in C++.- Arrays and pointers.- File operations.- Object orientation and inheritance.
£999.99
O'Reilly Media Consul Up and Running
Book SynopsisThis definitive guide shows you how to automate networking for simple and secure application delivery with Consul. Author Luke Kysow demonstrates how this service mesh solution provides a software-driven approach to security, observability, and traffic management.
£39.74
John Wiley and Sons Ltd Effects of Genome Structure and Sequence on the
Book SynopsisThe structure of DNA varies along its sequence, which can lead to sequence-dependent variations in the fidelity of DNA copying and repair. And because the probability of distinct classes of mutations varies along a DNA sequence, variation that affects fitness will have evolutionary implications, as selection acts on heritable variation. This Annals volume brings together a broad interdisciplinary group of researchers to explore the impact of increasing understanding of DNA structure, repair, replication, and organization on interrelated subjects ranging from evolution, to dependence of the effect of mutagens on environmental and sequence context, to noncanonical forms of information representation in genomes. NOTE: Annals volumes are avaialble for sale as individual books or as a journal. For information on institutional journal subscriptions, please visit http://ordering.onlinelibrary.wiley.com/subs.asp?ref=1749-6632&doi=10.111/(ISSN)1749-6632 ACADEMY MEMBERS: Please contact the New York Academy of Sciences directly to place your order (www.nyas.org). Members of the New York Academy of Science receive full-text access to Annals online and discounts on print volumes. Please visit http://www.nyas.org/MemberCenter/Joun.aspx for more information about becoming a member.Table of ContentsOverview of the creative genome: effects of genome structure and sequence on the generation of variation and evolution 1. Lynn Helena Caporale Genome hyperevolution and the success of a parasite 11. J. David Barry, James P. J. Hall, and Lindsey Plenderleith The tricky path to recombining X and Y chromosomes in meiosis 18. Liisa Kauppi, Maria Jasin, and Scott Keeney Sites of genetic instability in mitosis and cancer 24. Anne M. Casper, Danielle M. Rosen, and Kaveri D. Rajula The genome: an isochore ensemble and it’s evolution 31. Giorgio Bernardi Multiple levels of meaning in DNA sequences, and one more 35. Edward N. Trifonov, Zeev Volkovich, and Zakharia M. Frenkel Evolution of simple sequence repeat-mediated phase variation in bacterial genomes 39. Christopher D. Bayliss and Michael E. Palmer Indirect selection of implicit mutation protocols 45. David G. King G4 motifs in human genes 53. Nancy Maizels Adaptive radiation of venomous marine snail lineages and the accelerated evolution of venom peptide genes 61. Baldomero M. Olivera, Maren Watkins, Pradip Bandyopadhyay, Julita S. Imperial, Edgar P. Heimer de la Cotera, Manual B. Aguilar, Estuardo Lopez Vera, Gisela P. Concepcion, and Arturo Lluisma Integrons and gene cassettes: hotspots of diversity in bacterial genomes 71. Ruth M. Hall Creative deaminases, self-inflicted damage, and genome evolution 79. Silvestro G. Conticello Three-dimensional architecture of the IgH locus facilitates class switch recombination 86. Amy L. Kenter, Scott Feldman, Robert Wuerffel, Ikbel Achour, Lili Wang, and Satyendra Kumar Preaching about the converted: how meiotic gene conversion influences genomic diversity 95. Francesca Cole, Scott Keeney, and Maria Jasin Gross chromosomal rearrangement mediated by DNA replication in stressed cells: evidence from Escherichia coli 103. J.M. Moore, Hallie Wimberly, P.C. Thorton, Susan M. Rosenberg, and P.J. Hastings Implications of genetic heterogeneity in cancer 110. Michael W. Schmitt, Marc J. Prindle, and Lawrence A. Loeb Corrigendum for Ann. N.Y. Acad. Sci. 2009. 1182: 47-57 117.
£99.00
Columbia University Press Genes and DNA
Book SynopsisCovers various aspects of contemporary biology including gene therapy, the Human Genome Project, DNA testing, and genetic engineering, and fundamental concepts. This book discusses classical and molecular genetics, quantitative and population genetics including cloning and genetic diseases, and the many applications of genetics to the world.Trade ReviewThe book covers much of the material in a high school textbook...but Omoto and Lurquin write in a way that makes things relevan to any interested adult. I think this is an excellent book that will be of great value in any public library collection...also in university and college libraries. -- Margaret Henderson E-Stream Very useful introduction to genes and genetic applications...Recommended. General readers. -- P. M. Watt Choice As a society we are asked to make informed decisions on complex issues such as stem cell research and the labeling of our food based on its level of genetic modification. We have a lot of homework to do, and this book is a good start. -- Stephen Jones Washington State MagazineTable of ContentsPreface: Why Is Genetics Important? 1. What Are Genes? Try This at Home: Extract DNA from Vegetables in Your Kitchen 2. Inheritance of Single-Gene Traits 3. Mendelian Traits in Humans Try This at Home: Pedigree Game 4. From Genes to Phenotype Try This at Home: DNA Replication, Transcription, and Translation Game 5. Using Bacteria as Protein Factories 6. Genetically Modified Plants 7. When Things Go Wrong 8. Mutagens, Teratogens, and Human Reproduction 9. Linkage and Mapping: Gene Discovery Try This at Home: Independent Assortment of Chromosomes and the Making of a Unique Individual Try This at Home: Explore Genetics Databases 10. Genetics of Populations and Genetic Testing 11. Survival of the Fittest? Try This at Home: Demonstrations of the Effects of Small Population Size 12. Nature Versus Nurture 13. Genetically Modified Animals and the Applications of Gene Technology for Humans Appendix A. Internet Resources Appendix B. Glossary of Scientific Names of Organisms Appendix C. Glossary of Human Genetic Diseases Appendix D. Glossary of Terms
£28.80
Headline Publishing Group The Compact Guide DNA
Book SynopsisA compact guide to DNA: who we are, how we're wired, and how we repair ourselves. Table of ContentsMeet your genome • How do genes work? • Our genetic journey • Under attack! • Who do you think you are? • People are not peas • Genetic superheroes • Turn me on • Epigenetics • The RNA world • Building a baby • Wiring the brain • Compatibility genes • Why women are stripy • The viruses that made us human • When things go wrong • Human 2.0.
£8.99
Oneworld Publications My Beautiful Genome: Exposing Our Genetic Future,
Book SynopsisInternationally acclaimed science writer Lone Frank swabs up her DNA to provide the first truly intimate account of the new science of consumer-led genomics. She challenges the business mavericks intent on mapping every baby's genome, ponders the consequences of biological fortune-telling, and prods the psychologists who hope to uncover just how much or how little our environment will matter in the new genetic century - a quest made all the more gripping as Frank considers her family's and her own struggles with depression.Trade Review"A probing biological memoir… Refreshing [and] wonderfully poetic." * Publishers Weekly *"Readers will be intrigued by Frank's witty, engaging account of the possibilities of emerging genetic sciences as well as her thoughtful considerations of the philosophical and ethical dimensions of the widespread use of genetic data." * Library Journal *"My Beautiful Genome covers some of the most interesting controversies in biology today, including designer babies, brain imaging, and even whether or not we have free will. It's an enthralling read." * New Scientist *"The huge research effort to understand the complexity of the genome is throwing up new insights into the nature of humanity, as the Danish science writer Lone Frank shows in My Beautiful Genome, her excellent look into the postgenomic world…. Fascinating." * Financial Times *"A fascinating exploration of a subject that is not going to go away -- the influence of our genes on the way we are both medically and socially… Frank's light style and storytelling verve… make this an enjoyable read." Brian Clegg * PopularScience.co.uk *"It’s not often you can wholeheartedly recommend a book… but this is it." * Daily Mail *"A pin-sharp, lively memoir-cum-investigation… Frank's discoveries make for some truly tingling moments." * The Mail on Sunday *"The story of DNA told through one woman's quest to find out if the secret to her depression lies in her genes… A must-read." * BioNews *"Packed with juicy informative nuggets … weird, wonderful and very funny." * Independent on Sunday *“I thoroughly enjoyed this book and would not hesitate to recommend it as both a personal and a book group read.” * New Books *
£11.39
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 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
John Wiley and Sons Ltd Seed Genomics
Book SynopsisThis up-to-date review of seed genomics, from basic seed biology to practical applications in crop science, provides a thorough background understanding of seed biology from a basic science perspective.Table of ContentsContributors xi Introduction 1 Philip W. Becraft Chapter 1 Large-Scale Mutant Analysis of Seed Development in Arabidopsis 5 David W. Meinke Introduction 5 Historical Perspective 5 Arabidopsis Embryo Mutant System 7 Large-Scale Forward Genetic Screens for Seed Mutants 7 Approaches to Mutant Analysis 8 Strategies for Approaching Saturation 10 SeedGenes Database of Essential Genes in Arabidopsis 11 Embryo Mutants with Gametophyte Defects 13 General Features of EMB Genes in Arabidopsis 14 Value of Large Datasets of Essential Genes 15 Directions for Future Research 16 Acknowledgments 17 References 17 Chapter 2 Embryogenesis in Arabidopsis: Signaling, Genes, and the Control of Identity 21 D. L. C. Kumari Fonseka, Xiyan Yang, Anna Mudge, Jennifer F. Topping, and Keith Lindsey Introduction 21 Cellular Events 21 Genes and Signaling – the Global Picture 23 Coordination of Genes and Cellular Processes: a Role for Hormones 25 Genes and Pattern 30 Conclusion and Future Directions 36 References 36 Chapter 3 Endosperm Development 43 Odd-Arne Olsen and Philip W. Becraft Introduction 43 Overview of Endosperm Structure and Development 43 Endosperm Cell Fate Specification and Differentiation 48 Genomic Resources 53 Transcriptional Profiling of Endosperm Development 54 Gene Imprinting in Cereal Endosperm 56 Conclusion 57 Acknowledgments 58 References 58 Chapter 4 Epigenetic Control of Seed Gene Imprinting 63 Christian A. Ibarra, Jennifer M. Frost, Juhyun Shin, Tzung-Fu Hsieh, and Robert L. Fischer Introduction 63 Genomic Imprinting and Parental Conflict Theory 63 Epigenetic Regulators of Arabidopsis Imprinting 65 Mechanisms Establishing Arabidopsis Gene Imprinting 69 Imprinting in the Embryo 74 Imprinting in Monocots 75 Evolution of Plant Imprinting 77 Conclusion 78 Acknowledgments 78 References 78 Chapter 5 Apomixis 83 Anna M. G. Koltunow, Peggy Ozias-Akins, and Imran Siddiqi Introduction 83 Biology of Apomixis in Natural Systems 84 Phylogenetic and Geographical Distribution of Apomixis 89 Inheritance of Apomixis 90 Genetic Diversity in Natural Apomictic Populations 93 Molecular Relationships between Sexual and Apomictic Pathways 94 Features of Chromosomes Carrying Apomixis Loci and Implications for Regulation of Apomixis 95 Genes Associated with Apomixis 96 Transferring Apomixis to Sexual Plants: Clues from Apomicts 97 Synthetic Approach to Building Apomixis 98 Synthetic Clonal Seed Formation 102 Conclusion and Future Prospects 103 References 103 Chapter 6 High-Throughput Genetic Dissection of Seed Dormancy 111 Jose M. Barrero, Colin Cavanagh, and Frank Gubler Introduction 111 Profiling of Transcriptomic Changes 113 Use of New Sequencing Platforms and Associated Techniques to Study Seed Dormancy 114 Visualization Tools 116 Coexpression Studies and Systems Biology Approaches 116 Mapping Populations for Gene Discovery 117 Perspective 118 Acknowledgments 119 References 119 Chapter 7 Genomic Specification of Starch Biosynthesis in Maize Endosperm 123 Tracie A. Hennen-Bierwagen and Alan M. Myers Introduction 123 Overview of Starch Biosynthetic Pathway 124 Genomic Specification of Endosperm Starch Biosynthesis in Maize 126 Conclusion 134 References 134 Chapter 8 Evolution, Structure, and Function of Prolamin Storage Proteins 139 David Holding and Joachim Messing Introduction 139 Prolamin Multigene Families 139 Endosperm Texture and Storage of Prolamins 143 Conclusion 154 References 154 Chapter 9 Improving Grain Quality: Wheat 159 Peter R. Shewry Introduction 159 Grain Structure and Composition 159 End Use Quality 161 Redesigning the Grain 163 Manipulation of Grain Protein Content and Quality 163 Manipulation of Grain Texture 167 Development of Wheat with Resistant Starch 168 Improving Content and Composition of Dietary Fiber 169 Wheat Grain Cell Walls 169 Conclusion 173 Acknowledgments 173 References 173 Chapter 10 Legume Seed Genomics: How to Respond to the Challenges and Potential of a Key Plant Family? 179 Mélanie Noguero, Karine Gallardo, Jérôme Verdier, Christine Le Signor, Judith Burstin, and Richard Thompson Introduction 179 Development of Genomics Tools 180 Applications of Genomics Tools to Legume Seed Biology 185 Future Challenges 192 References 193 Chapter 11 Cotton Fiber Genomics 203 Xueying Guan and Z. Jeffrey Chen Introduction 203 Cotton Fiber Development 204 Roles for Transcription Factors in Development of Arabidopsis Leaf Trichomes, Seed Hairs, and Cotton Fibers 204 Fiber Cell Expansion through Cell Wall Biosynthesis 208 Regulation of Phytohormones during Cotton Fiber Development 209 Cotton Fiber Genes in Diploid and Tetraploid Cotton 210 Roles for Small RNAs in Cotton Fiber Development 211 Conclusion 212 References 213 Chapter 12 Genomic Changes in Response to 110 Cycles of Selection for Seed Protein and Oil Concentration in Maize 217 Christine J. Lucas, Han Zhao, Martha Schneerman, and Stephen P. Moose Introduction 217 Background on the Illinois Long-Term Selection Experiment 217 Phenotypic Responses to Selection 219 Additional Traits Affected by Selection 220 Unlimited Genetic Variation? 221 Genetic Response to Selection: QTL Mapping in the Crosses of IHP x ILP and IHO x ILO 222 New Mapping Population: Illinois Protein Strain Recombinant Inbreds 223 Characterization of Zein Genes and Their Expression in Illinois Protein Strains 225 Contribution of Zein Regulatory Factor Opaque2 to Observed Responses to Selection in Illinois Protein Strains 227 Major Effect QTL May Explain IRHP Phenotype 228 Zein Promoter-Reporter Lines to Investigate Regulation of 22-kDa α-Zein Gene Expression in Illinois Protein Strains 229 Regulatory Changes in FL2-mRFP Expression When Crossed to Illinois Protein Strains 230 Regulation of FL2-mRFP 232 Acknowledgments 233 References 234 Chapter 13 Machine Vision for Seed Phenomics 237 Jeffery L. Gustin and A. Mark Settles Introduction 237 High-Energy Imaging: X-ray Tomography and Fluorescence 238 Optical Imaging: Visible Spectrum 240 Resonance Absorption: Infrared Spectrum 242 Resonance Emission: Nuclear Magnetic Resonance 245 Conclusion 246 Acknowledgments 246 References 246 Color plate section found between pages 42 and 43. Index 253
£166.46
John Wiley and Sons Ltd The Ecological Genomics of Fungi
Book SynopsisEdited and written by leading researchers from around the world, The Ecological Genomics of Fungi covers a broad diversity of fungal systems and provides unique insight into the functions of those fungi in various ecosystems, from soil, to plant, to human.Trade Review“I think the volume may succeed in its ambition to serve as a catalyst for further studies by showing researchers venturing into ecological genomics and those already in genomics the width of the field. This may, in turn, further more integrative studies that will benefit our understanding of fungi.” (The Quarterly Review of Biology, 1 October 2015) Table of ContentsContributors vii Preface xiii Section 1 Sequencing Fungal Genomes 1 1 A Changing Landscape of Fungal Genomics 3 Igor V. Grigoriev 2 Repeated Elements in Filamentous Fungi with a Focus on Wood-Decay Fungi 21 Claude Murat, Thibaut Payen, Denis Petitpierre, and Jessy Labbé Section 2 Saprotrophic Fungi 41 3 Wood Decay 43 Dan Cullen 4 Aspergilli and Biomass-Degrading Fungi 63 Isabelle Benoit, Ronald P. de Vries, Scott E. Baker, and Sue A. Karagiosis 5 Ecological Genomics of Trichoderma 89 Irina S. Druzhinina and Christian P. Kubicek Section 3 Plant-Interacting Fungi 117 6 Dothideomycetes: Plant Pathogens, Saprobes, and Extremophiles 119 Stephen B. Goodwin 7 Biotrophic Fungi (Powdery Mildews, Rusts, and Smuts) 149 Sébastien Duplessis, Pietro D. Spanu, and Jan Schirawski 8 The Mycorrhizal Symbiosis Genomics 169 Francis Martin and Annegret Kohler 9 Lichen Genomics: Prospects and Progress 191 Martin Grube, Gabriele Berg, ólafur S. Andrésson, Oddur Vilhelmsson, Paul S. Dyer, and Vivian P.W. Miao Section 4 Animal-Interacting Fungi 213 10 Ecogenomics of Human and Animal Basidiomycetous Yeast Pathogens 215 Sheng Sun, Ferry Hagen, Jun Xu, Tom Dawson, Joseph Heitman, James Kronstad, Charles Saunders, and Teun Boekhout 11 Genomics of Entomopathogenic Fungi 243 Chengshu Wang and Raymond J. St. Leger 12 Ecological Genomics of the Microsporidia 261 Nicolas Corradi and Patrick J. Keeling Section 5 Metagenomics and Biogeography of Fungi 279 13 Metagenomics for Study of Fungal Ecology 281 Björn D. Lindahl and Cheryl R. Kuske 14 Metatranscriptomics of Soil Eukaryotic Communities 305 Laurence Fraissinet-Tachet, Roland Marmeisse, Lucie Zinger, and Patricia Luis 15 Fungi in Deep-Sea Environments and Metagenomics 325 Stéphane Mahé, Vanessa Rédou, Thomas Le Calvez, Philippe Vandenkoornhuyse, and Gaëtan Burgaud 16 The Biodiversity, Ecology, and Biogeography of Ascomycetous Yeasts 355 Marc-André Lachance Index 371
£159.26
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.
£12.34
John Wiley and Sons Ltd Developmental Genomics of Ascidians
Book SynopsisThe simplicity and lack of redundancy in their regulatory genes have made ascidians one of the most useful species in studying developmental genomics. In Developmental Genomics of Ascidians, Dr.Trade Review"In his preface, the author describes Developmental Genomics of Ascidians as his “last and largest contribution to ascidian developmental biology” (p. xi). This book is indeed a major accomplishment and a great resource for the community" (The Quarterly Review of Biology 2016)Table of ContentsPREFACE ix CHAPTER 1 A BRIEF INTRODUCTION TO ASCIDIANS 1 CHAPTER 2 THE DEVELOPMENT OF TADPOLE LARVAE AND SESSILE JUVENILES 9 CHAPTER 3 GENOMICS, TRANSCRIPTOMICS, AND PROTEOMICS 19 CHAPTER 4 RESEARCH TOOLS 31 CHAPTER 5 THE FUNCTION AND REGULATION OF MATERNAL TRANSCRIPTS 41 CHAPTER 6 LARVAL TAIL MUSCLE 53 CHAPTER 7 ENDODERM 63 CHAPTER 8 EPIDERMIS 69 CHAPTER 9 NOTOCHORD 77 CHAPTER 10 THE LARVAL AND ADULT NERVOUS SYSTEMS 89 CHAPTER 11 MESENCHYME 107 CHAPTER 12 MAKING BLUEPRINT OF CHORDATE BODY: DYNAMIC ACTIVITIES OF REGULATORY GENES 113 CHAPTER 13 DEVELOPMENT OF THE JUVENILE HEART 137 CHAPTER 14 GERM-CELL LINE, GAMETES, FERTILIZATION, AND METAMORPHOSIS 145 CHAPTER 15 INNATE IMMUNE SYSTEM AND BLOOD CELLS 159 CHAPTER 16 COLONIAL ASCIDIANS: ASEXUAL REPRODUCTION AND COLONY SPECIFICITY 167 CHAPTER 17 EVOLUTIONARY DEVELOPMENTAL GENOMICS 175 INDEX 193
£107.96
