This textbook introduces readers to the recent advances in the emerging field of genetic design automation (GDA). Starting with an introduction and the basic concepts of molecular biology, the authors provide an overview of various genetic design automation tools. The authors then present the DVASim tool (Dynamic Virtual Analyzer and Simulator) which is used for the analysis and verification of genetic logic circuits. This includes methods and algorithms for the timing and threshold value analyses of genetic logic circuits. Next, the book presents the GeneTech tool (A technology mapping tool for genetic circuits) and the methods developed for optimization, synthesis, and technology mapping of genetic circuits. Chapters are followed by exercises which give readers hands-on practice with the tools presented. The concepts and algorithms are thoroughly described, enabling readers to improve the tools or use them as a starting point to develop new tools. Both DVASim and GeneTech are available from the developer's website, free of charge. This book is intended for a multidisciplinary audience of computer scientists, engineers and biologists. It provides enough background knowledge for computer scientists and engineers, who usually do not have any background in biology but are interested to get involved in this domain. This book not only presents an accessible basic introduction to molecular biology, it also includes software tools which allow users to perform laboratory experiments in a virtual in-silico environment. This helps newbies to get a quick start in understanding and developing genetic design automation tools. The third part of this book is particular useful for biologists who usually find it difficult to grasp programming and are reluctant to developing computer software. They are introduced to the graphical programming language, LabVIEW, from which they can start developing computer programs rapidly. Readers are further provided with small projects which will help them to start developing GDA tools.

With the rapid development of biotechnologies, single-cell sequencing has become an important tool for understanding the molecular mechanisms of diseases, defining cellular heterogeneities and characteristics, and identifying intercellular communications and single-cell-based biomarkers. Providing a clear overview of the clinical applications, the book presents state-of-the-art information on immune cell function, cancer progression, infection, and inflammation gained from single-cell DNA or RNA sequencing. Furthermore, it explores the role of target gene methylation in the pathogenesis of diseases, with a focus on respiratory cancer, infection and chronic diseases. As such it is a valuable resource for clinical researchers and physicians, allowing them to refresh their knowledge and improve early diagnosis and therapy for patients.

This contributed volume presents an overview of concepts, methods, and applications used in several quantitative areas of drug research, development, and marketing. Chapters bring together the theories and applications of various disciplines, allowing readers to learn more about quantitative fields, and to better recognize the differences between them. Because it provides a thorough overview, this will serve as a self-contained resource for readers interested in the pharmaceutical industry, and the quantitative methods that serve as its foundation. Specific disciplines covered include: Biostatistics Pharmacometrics Genomics Bioinformatics Pharmacoepidemiology Commercial analytics Operational analytics Quantitative Methods in Pharmaceutical Research and Development is ideal for undergraduate students interested in learning about real-world applications of quantitative methods, and the potential career options open to them. It will also be of interest to experts working in these areas.

The volume thus focusses on OMICS (Genomics, proteomics, transcriptomics, metabolonomics) technologies in identifying, characterizing biodiversity Role of molecular techniques for improvement of domestic and non-domestic organisms Animal and alternative model systems (using stem cells, tissue engineering, cell free systems, 3D platforms etc.) for studying life phenomena Genetically Modified Organisms as factories for the products

Electrophoresis is a straightforward but informative analytical method used in biochemistry, biology and medicine. This book combines a detailed discussion of theory and technical application with an elaborate section on troubleshooting and problem solving in electrophoresis. Therefore the book is an important guide for both students and scientists.

This book deals with two fundamental issues in the semiotics of the image. The first is the relationship between image and observer: how does one look at an image? To answer this question, this book sets out to transpose the theory of enunciation formulated in linguistics over to the visual field. It also aims to clarify the gains made in contemporary visual semiotics relative to the semiology of Roland Barthes and Emile Benveniste. The second issue addressed is the relation between the forces, forms and materiality of the images. How do different physical mediums (pictorial, photographic and digital) influence visual forms? How does materiality affect the generativity of forms? On the forces within the images, the book addresses the philosophical thought of Gilles Deleuze and Rene Thom as well as the experiment of Aby Warburg's Atlas Mnemosyne. The theories discussed in the book are tested on a variety of corpora for analysis, including both paintings and photographs, taken from traditional as well as contemporary sources in a variety of social sectors (arts and sciences). Finally, semiotic methodology is contrasted with the computational analysis of large collections of images (Big Data), such as the "Media Visualization" analyses proposed by Lev Manovich and Cultural Analytics in the field of Computer Science to evaluate the impact of automatic analysis of visual forms on Digital Art History and more generally on the image sciences.

Outlines the roles of plant secondary metabolites Provides new solutions for antibiotic resistance bacteria Suggests phytoremediation method for polluted soils and water Helps in designing and producing pharmaceutical drugs Each chapter written by an expert in the field Provides in depth coverage for each topic

Epigenetic Cancer Therapy, Second Edition provides a comprehensive discussion of healthy and aberrant epigenetic biology, along with new discoveries to improve our understanding of cancer epigenetics and therapeutics. The book encompasses large-scale intergovernmental initiatives, as well as recent findings across cancer stem cells, rational drug design, clinical trials, and chemopreventative strategies. As a whole, the work articulates and raises the profile of epigenetics as a therapeutic option in the future management of cancer. Since the publication of the first edition of this book, the field of epigenetics has undergone significant change. New epigenetic therapies have been designed and approved for clinical use. Our knowledge of the plasticity of the epigenome in cancer and disease has expanded dramatically, with increasing evidence linking pollution to epigenetic changes in cancer development. This second edition has been fully updated to address these changes, along with promising therapeutic programs such as CRISPR/Cas9 mediated approaches, CAR-T based therapies, epigenetic priming, histone modifications, and similar, transformative advances across synthetic biology and cellular engineering.

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.

The book presents a comprehensive and up-to-date overview of phytochemicals as efficient cancer therapeutics. Over the last few decades there has been a paradigm shift from conventional cancer therapeutic approaches to alternative and complementary medicinal approaches especially using phytoconstituents from natural products. As such, the book provides an in-depth understanding of phytochemicals targeting diverse signaling pathways involved in cancer along with the evaluation of the cancer modulatory effects of phytochemicals. It also highlights the potential modulatory effect of single nucleotide polymorphisms (SNPs) on the cancer-associated cellular pathways and their interactions with the phytochemicals. Further, it analyzes the drug delivery methods, bioavailability of active components of botanicals, and toxicity of phytochemicals. Lastly, the book elucidates the 3D cell culture and animal models systems to analyze the beneficial effects of phytochemicals in cancer.

This book consists of 3 volumes: Basic Science (Volume 1), Clinical Science (Volume 2) and Technology and Methodology (Volume 3). Volume 2 focuses on the clinical aspects of autophagy research, discussing the role of autophagy in neuropsychiatric disorders, the cardiovascular, immune, digestive and endocrine systems, as well as tumors, infection, the kidney, and the respiratory and hematological systems. It also addresses autophagy-related drug development. Written and edited by a team of 90 experts, and presenting the state of the art in autophagy research, this book is a valuable reference resource for researchers and clinicians alike. It can also be used as supplementary material for graduate students majoring in biology and medicine

This book discusses a broad range of basic and advanced topics in the field of protein structure, function, folding, flexibility, and dynamics. Starting with a basic introduction to protein purification, estimation, storage, and its effect on the protein structure, function, and dynamics, it also discusses various experimental and computational structure determination approaches; the importance of molecular interactions and water in protein stability, folding and dynamics; kinetic and thermodynamic parameters associated with protein-ligand binding; single molecule techniques and their applications in studying protein folding and aggregation; protein quality control; the role of amino acid sequence in protein aggregation; muscarinic acetylcholine receptors, antimuscarinic drugs, and their clinical significances. Further, the book explains the current understanding on the therapeutic importance of the enzyme dopamine beta hydroxylase; structural dynamics and motions in molecular motors; role of cathepsins in controlling degradation of extracellular matrix during disease states; and the important structure-function relationship of iron-binding proteins, ferritins. Overall, the book is an important guide and a comprehensive resource for understanding protein structure, function, dynamics, and interaction.

This book discusses feature engineering and computational intelligence solutions for ECG monitoring, with a particular focus on how these methods can be efficiently used to address the emerging challenges of dynamic, continuous & long-term individual ECG monitoring and real-time feedback. By doing so, it provides a "snapshot" of the current research at the interface between physiological signal analysis and machine learning. It also helps clarify a number of dilemmas and encourages further investigations in this field, to explore rational applications of feature engineering and computational intelligence in ECG monitoring. The book is intended for researchers and graduate students in the field of biomedical engineering, ECG signal processing, and intelligent healthcare.

One of the oldest scientific traditions, plant breeding began in Neolithic times with methods as simple as saving the seeds of desirable plants and sowing them later. It was not until the re-encounter with Mendel's discoveries thousands of years later, the genetic basis of breeding was understood. Developments following have provided further insight into how genes acting alone or in concert with other genes and the environment, result in a particular phenotype. From Abaxial to Zymogram, the third edition of Dictionary of Plant Breeding contains clear and useful definitions of the terms associated with plant breeding and related scientific/technological disciplines. It defines jargon; provides helpful tables, examples, and breeding schemes; and includes a list of crop plants with salient details. Packed with data and organized to make that data easy to access, this revised and expanded reference provides comprehensive coverage of the latest discoveries in cytogenetics, molecular genetics, marker-assisted selection, experimental gene transfer, CRISPR technology, seed sciences, crop physiology, and genetically modified crops. Features: Provides a comprehensive list of technical terms used in plant breeding Explores the historical development of crop improvement Discusses applications of molecular genetics and biotechnology Includes numerous figures, drawings, tables, and schemes supplementing the glossary A complex subject, plant breeding draws from many scientific and technological disciplines, often making it difficult to know the precise meanings of many terms and to accurately interpret specific concepts. As in the previous editions, this dictionary unifies concepts by including the specific terms of plant breeding and terms that are adjusted from other disciplines. Drawing on Rolf Schlegel's 50 years of experience, the book provides an encyclopedic list of commonly used technical terms that reflect the latest developments in the field.

Signal transduction comprises the intracellular biochemical signals which induce the appropriate cell response to an external stimulus. The players in signal transduction are diverse, from small molecules as first messengers, to proteins, receptors, transcription factors, among many others. The different signaling pathways and the crosstalk between them originates the unique signaling profile of every cell type in the human body. The cell signaling specificity depends on several aspects including protein composition, subcellular localization and complexes and gene promoters. This textbook provides a comprehensive overview of the specific signaling pathways on a variety of human tissues. This information can be of great value for health science researchers, professionals and students to understand key pathways for tissue-specific functions in the plethora of signals, signals receptors, transducers and effectors. Chapter 3 and 15 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Multiple demographic or economic parameters contribute to the origin of emerging infections, for example: poverty, urbanization, climate change, conflicts and population migrations. All these factors are a challenge to assess the impact (present and future) of parasitic diseases on public health. The intestine is a major target of these infections; it is a nutrient-rich environment harbouring a complex and dynamic population of 100 trillion microbes: the microbiome. Most researches on the microbiome focus on bacteria, which share the gut ecosystem with a population of uni- and multi cellular eukaryotic organisms that may prey on them. Our interest focuses on the families of eukaryotic microbes inhabiting the intestine, called "intestinal eukaryome", that include fungi, protists and helminths. Knowledge on the reciprocal influence between the microbiome and the eukaryome, and on their combined impact on homeostasis and intestinal diseases is scanty and can be considered as an important emerging field. Furthermore, the factors that differentiate pathogenic eukaryotes from commensals are still unknown. This book presents an overview of the science presented and discussed in the First Eukaryome Congress held from October 16th to 18th, 2019 at the Pasteur Institute in Paris. This book covers the following topics: Phylogenetic, prevalence, and diversity of intestinal eukaryotic microbes; and their (still enigmatic) historical evolution and potential contributions to mucosal immune homeostasis. Integrative biology to study the molecular cell biology of parasite-host interactions and the multiple parameters underlining the infectious process. The exploitation of tissue engineering and microfluidics to establish three-dimensional (3D) systems that help to understand homeostasis and pathological processes in the human intestine.

This book provides step-by-step explanations of successful implementations and practical applications of machine learning. The book's GitHub page contains software codes to assist readers in adapting materials and methods for their own use. A wide variety of applications are discussed, including wireless mesh network and power systems optimization; computer vision; image and facial recognition; protein prediction; data mining; and data discovery. Numerous state-of-the-art machine learning techniques are employed (with detailed explanations), including biologically-inspired optimization (genetic and other evolutionary algorithms, swarm intelligence); Viola Jones face detection; Gaussian mixture modeling; support vector machines; deep convolutional neural networks with performance enhancement techniques (including network design, learning rate optimization, data augmentation, transfer learning); spiking neural networks and timing dependent plasticity; frequent itemset mining; binary classification; and dynamic programming. This book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and teachers in the field of machine learning.

This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics. It also highlights the role of computing and machine learning in knowledge extraction from biological data, and how this knowledge can be applied in fields such as drug design, health supplements, gene therapy, proteomics and agriculture.

This book highlights new advances in biometrics using deep learning toward deeper and wider background, deeming it "Deep Biometrics". The book aims to highlight recent developments in biometrics using semi-supervised and unsupervised methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on. The contributors demonstrate the power of deep learning techniques in the emerging new areas such as privacy and security issues, cancellable biometrics, soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, healthcare biometrics, and biometric genetics, etc. The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy toward deeper and wider applications. Highlights the impact of deep learning over the field of biometrics in a wide area; Exploits the deeper and wider background of biometrics, such as privacy versus security, biometric big data, biometric genetics, and biometric diagnosis, etc.; Introduces new biometric applications such as biometric banking, internet of things, cloud computing, and medical biometrics.

This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.

Human Molecular Genetics has been carefully crafted over successive editions to provide an authoritative introduction to the molecular aspects of human genetics, genomics and cell biology. Maintaining the features that have made previous editions so popular, this fifth edition has been completely updated in line with the latest developments in the field. Older technologies such as cloning and hybridization have been merged and summarized, coverage of newer DNA sequencing technologies has been expanded, and powerful new gene editing and single-cell genomics technologies have been added. The coverage of GWAS, functional genomics, stem cells, and disease modeling has been expanded. Greater focus is given to inheritance and variation in the context of populations and on the role of epigenetics in gene regulation. Key features: Fully integrated approach to the molecular aspects of human genetics, genomics, and cell biology Accessible text is supported and enhanced throughout by superb artwork illustrating the key concepts and mechanisms Summary boxes at the end of each chapter provide clear learning points Annotated further reading helps readers navigate the wealth of additional information in this complex subject and provides direction for further study Reorganized into five sections for improved access to related topics Also new to this edition - brand new chapter on evolution and anthropology from the authors of the highly acclaimed Human Evolutionary Genetics A proven and popular textbook for upper-level undergraduates and graduate students, the new edition of Human Molecular Genetics remains the 'go-to' book for those studying human molecular genetics or genomics courses around the world.

Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it will mostly focus on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. The third volume is titled In Silico Life Sciences: Agriculture. It focuses on plant genetic, genomic, transcriptomic, proteomic and metabolomics data. Using examples of new crop diseases-emergence, crop productivity and biotic/abiotic stress tolerance, this book illustrates how bioinformatics can be an integral components of modern day plant science research.

The Chlamydomonas Sourcebook: Introduction to Chlamydomonas and Its Laboratory Use, Volume One, Third Edition has been fully revised and updated to include a wealth of new resources for the Chlamydomonas community (new mutant libraries, new omics studies, and potentially more information about different Chlamydomonas species in the environment). In addition to updates on molecular techniques and analysis of the sequenced genome, the book presents the latest in research and best practices for applications in research, including methods for culture, preservation of cultures, preparation of media, and more.

Biotechnology and its Applications: Using Cells to Change the World, Second Edition introduces students to the world of biotechnology in a way that runs deeper than a mere survey. Sections cover basic science, introduce cells, explain how they behave, what they are made of, demonstrate the biotechnological application of scientific principles in the laboratory, and present biotechnologies "in the real world." Examples include recombinant proteins available to millions of patients, plants that have been engineered to produce food for people around the world, and regenerative medicine that may someday allow patients to receive organs that have been grown from their own cells. The updated edition has been expanded with the most current information available, with new chapters on gene editing, bioremediation, vaccines and immunotherapy, and processing and manufacturing, thus resulting in a modern, robust, yet highly readable applications-oriented introduction to biotechnology.

Security sensitive microbes (viruses, bacteria, fungi, and parasites) and toxins, which are often referred to as the select agents and toxins, have the capacity to cause serious illness and death in humans, animals, and plants. Throughout history, these microbes and toxins have been exploited in one form or another as biowarfare and bioterror agents that create fear and panic well beyond any actual physical damages they might cause. Manual of Security Sensitive Microbes and Toxins provides comprehensive, state-of-the-art coverage of microbes and toxins of biosecurity concern. The ultimate goal is to increase our awareness of these agents and enhance our preparedness against any future bio-emergencies. The book begins with an introduction containing a brief overview of the historical aspects of security sensitive microbes and toxins. This is followed by a concise summary of the current status in relation to the regulation of security sensitive microbes and toxins and a discussion of future development trends. The book is divided into seven parts: Microbes and Toxins Affecting Humans and Animals: Viruses Microbes and Toxins Affecting Human and Animals: Bacteria Microbes and Toxins Affecting Human and Animals: Fungus and Parasite Microbes and Toxins Affecting Human and Animals: Toxins Microbes Affecting Animals: Viruses Microbes Affecting Animals: Bacteria Microbes Affecting Plants Written by experts in the relevant areas of research, the chapters are authoritative reviews, each one covering a single microbe or toxin with respect to its classification, biology, epidemiology, pathogenesis, identification, diagnosis, treatment, and prevention. The chapters also discuss the limitations of our current knowledge and challenges relating to improved detection and control of the microbe or toxin.