- Provides updated and detailed information about bioinformatics for human genomics research - Brings information from multiple areas of bioinformatics in one place - Facilitates application of key computational methods in human genomics research

Evolution is the single unifying principle of biology and core to everything in the life sciences. More than a century of work by scientists from across the biological spectrum has produced a detailed history of life across the phyla and explained the mechanisms by which new species form. This textbook covers both this history and the mechanisms of speciation; it also aims to provide students with the background needed to read the research literature on evolution. Students will therefore learn about cladistics, molecular phylogenies, the molecular-genetical basis of evolutionary change including the important role of protein networks, symbionts and holobionts, together with the core principles of developmental biology. The book also includes introductory appendices that provide background knowledge on, for example, the diversity of life today, fossils, the geology of Earth and the history of evolutionary thought. Key Features Summarizes the origins of life and the evolution of the eukaryotic cell and of Urbilateria, the last common ancestor of invertebrates and vertebrates. Reviews the history of life across the phyla based on the fossil record and computational phylogenetics. Explains evo-devo and the generation of anatomical novelties. Illustrates the roles of small populations, genetic drift, mutation and selection in speciation. Documents human evolution using the fossil record and evidence of dispersal across the world leading to the emergence of modern humans.

The over-riding premise for biotechnology in this book is bringing novel products to market to substantially advance patient care and disease mitigation. Biotechnology, over its relatively brief existence of 40 years, has experienced a mercurial growth. The vast educational need for biotechnology information in this rapidly burgeoning field is a basic rationale here. However a more prominent underpinning is that, bringing biotech products to market for patient care involves success in the following four areas of engagement simultaneously - scientific advances for healthcare technologies, novel and varied products for untreated diseases, regulatory authorities, and biotech companies. Features Comprehensive coverage of biotechnology science topics used in development and manufacturing Addresses all the scientific technologies within biotechnology responsible for products on the market and the pipeline Presents business issues such as marketing and sales of the products, as well as companies engaged, and how biotech business has evolved

Documents the utility of Next Generation Sequencing and RNAseq to a wide array of aquatic environmental and physiological issues as well as to human health. Provides insights into the ways transcriptomics of aquatic animals and fish ecology can contribute to the understanding of human diseases Gives an account of the evolution of the techniques used to determine the transcriptome in crustacean aquaculture. Describes the mechanisms of genetic interaction between different pathogens and the human host and their effects modifying gene expression levels. Intended for undergraduate and graduate students interested in subjects related to physiology of aquatic animals, aquaculture, ecology and phylogeny of fishes, and human health.

The fourth edition of this popular textbook retains its focus on the fundamental principles of gene manipulation, providing an accessible and broad-based introduction to the subject for beginning undergraduate students. It has been brought thoroughly up to date with new chapters on the story of DNA and genome editing, and new sections on bioethics, significant developments in sequencing technology and structural, functional and comparative genomics and proteomics, and the impact of transgenic plants. In addition to chapter summaries, learning objectives, concept maps, glossary and key word lists the book now also features new concluding sections, further reading lists and web-search activities for each chapter to provide a comprehensive suite of learning resources to help students develop a flexible and critical approach to the study of genetic engineering.

This book entitled "Genetics, Genomics and Breeding of Bamboos" provides a comprehensive overview on the economically and ecologically important non-timber plant group bamboo. The book focuses on the most recent advances in bamboo research in diverse fields including botany, genetic resources, traditional and molecular breeding, disease and pest resistance, tissue culture and genetic transformation and genomics perspective. The different chapters are authored by internationally reputed experts on this plant and is a good source of information for students, scientists, farmers, and bamboo resource management advisers on this plant, which is gaining increase importance on international commerce.

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers

This book is a critical summary and exegesis of the work of Nicole Rafter, who was a leading scholar of the history of biological theories of crime causation as well as a profound theorist of the role of history within criminology. It introduces Rafter's key works and assesses her contributions to the fields of feminist criminology, cultural criminology, visual criminology and historical criminology. It also explores her theorization of criminology's identity, scientific status, and possible futures. While many books on criminological theory explain and historically contextualize theory, they do not interrogate the production of theory or the epistemological assumptions behind it. Drawing on the world of Nicole Rafter, this book offers an accessible handbook to her extensive historical studies and to how her work demonstrated the importance of historical theory to criminological knowledge. Furthermore, the author brings Rafter's historical research to life and shows how it speaks to contemporary issues in criminology and punishment. Written in a clear and direct style, this book will appeal to students and scholars of criminological theory, intellectual history, sociology, comparative criminology, and feminist criminology.

Completely updated and rewritten, with 150 new figures Genomes from a wide variety of organisms included, from viruses to humans Techniques fully integrated into the text, including those investigating the genome, transcriptome, and proteome Coverage of expression, regulation, and evolution is on a genomic scale Short answer questions and in-depth problems at the end of each chapter Same structure as Genomes 3 but streamlined

Viruses do not behave as other microbes; their life cycles require infecting healthy cells, commandeering their cellular apparatus, replicating and then killing the host cell. Methods for virus detection and identification have been developed only in the past few decades. These recently developed methods include molecular, physical, and proteomic techniques. All these approaches (Electron Microscopy, Molecular, Direct Counting, and Mass Spectrometry Proteomics) to detection and identification are reviewed in this succinct volume. It is written in approachable language with enough detail for trained professionals to follow and want to recommend to others. Key Features Covers common detection methods Reviews the history of detection from antiquity to the present Documents the strengths and weaknesses of various detection methods Describes how to detect newly discovered viruses Recommends specific applications for clinical, hospital, environmental, and public health uses

* Focuses on human identification using traditional DNA typing methods targeting short tandem repeats (STRs) * Applies the technology and usage to law enforcement investigations and identity and ancestry single nucleotide polymorphisms (SNPs) for investigational leads, mass disaster, and ancestry cases * Introduces the underlying principles of NGS, focusing forensic application and the introduction of NGS into forensic labs in the coming years

Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits focuses on practical means and approaches to further the use of genetic resources for mitigating the effects of climate change and improving crop production. Genetic diversity in crop plants is being further explored to increase yield, disease resistance, and nutritional value by employing recent advances in mathematics and omics technologies to promote the adaptation of crops to changing climatic conditions. This book presents a broad view of biodiversity and genetic resources in agriculture and provides answers to some current problems. It also highlights ways to provide much-needed information to practitioners and innovators engaged in addressing the effects of global climate change on agriculture. The book is divided into sections that cover: The implications of climate change for drylands and farming communities The potential of genetic resources and biodiversity to adapt to and mitigate climate change effects Applications of mathematics and omics technologies Genomics and gene identification We are in the midst of significant changes in global climates, and its effects are already being felt throughout the world. The increasing frequency of droughts and heat waves has had negative impacts on agricultural production, especially in the drylands of the world. This book shares the collective knowledge of leading scientists and practitioners, giving readers a broader appreciation and heightened awareness of the stakes involved in improving and sustaining agricultural production systems in the face of climate change.

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of bioinformatics and RNA. The book offers a broad introduction to the explosively growing new discipline of bioinformatics. It covers theoretical topics along with computational algorithms. It explores RNA bioinformatics, which contribute to therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent advancements are presented in detail. The book targets both novice readers as well as practitioners in the field. FEATURES Offers a broad introduction to the explosively growing new discipline of bioinformatics Covers theoretical topics and computational algorithms Explores RNA bioinformatics to unleash the potential from therapeutics to drug discovery Discusses implementation of algorithms in DotNet Frameworks with code Presents insights into the state of the art and recent advancements in bioinformatics The book is useful to undergraduate students with engineering, science, mathematics, or biology backgrounds. Researchers will be equally interested.

DNA testing and its forensic analysis are recognized as the "gold standard" in forensic identification science methods. However, there is a great need for a hands-on step-by-step guide to teach the forensic DNA community how to interpret DNA mixtures, how to assign a likelihood ratio, and how to use the subsequent likelihood ratio when reporting interpretation conclusions. Forensic DNA Profiling: A Practical Guide to Assigning Likelihood Ratios will provide a roadmap for labs all over the world and the next generation of analysts who need this foundational understanding. The techniques used in forensic DNA analysis are based upon the accepted principles of molecular biology. The interpretation of a good-quality DNA profile generated from a crime scene stain from a single-source donor provides an unambiguous result when using the most modern forensic DNA methods. Unfortunately, many crime scene profiles are not single source. They are described as mixed since they contain DNA from two or more individuals. Interpretation of DNA mixtures represents one of the greatest challenges to the forensic DNA analyst. As such, the book introduces terms used to describe DNA profiles and profile interpretation. Chapters explain DNA extraction methods, the polymerase chain reaction (PCR), capillary electrophoresis (CE), likelihood ratios (LRs) and their interpretation, and population genetic models-including Mendelian inheritance and Hardy-Weinberg equilibrium. It is important that analysts understand how LRs are generated in a probabilistic framework, ideally with an appreciation of both semicontinuous and fully continuous probabilistic approaches. KEY FEATURES: * The first book to focus entirely on DNA mixtures and the complexities involved with interpreting the results * Takes a hands-on approach offering theory with worked examples and exercises to be easily understood and implementable by laboratory personnel * New methods, heretofore unpublished previously, provide a means to innovate deconvoluting a mixed DNA profile, assign an LR, and appropriately report the weight of evidence * Includes a chapter on assigning LRs for close relatives (i.e., "It's not me, it was my brother"), and discusses strategies for the validation of probabilistic genotyping software Forensic DNA Profiling fills the void for labs unfamiliar with LRs, and moving to probabilistic solutions, and for labs already familiar with LRs, but wishing to understand how they are calculated in more detail. The book will be a welcome read for lab professionals and technicians, students, and legal professionals seeking to understand and apply the techniques covered.

William Bateson (1861 1926) began his academic career working on variation in animals in the light of evolutionary theory. He was inspired by the rediscovery in 1900 of the 1860s work on plant hybridisation by the Austrian monk Gregor Mendel (included here as an appendix) to pursue further experimental work in what he named 'genetics'. He realised that Mendel's results could help to solve difficult biological questions and controversies and to challenge the status quo in evolutionary studies. Annoyed by the 'apathetic' stance of his evolutionist colleagues, and incensed by a scathing critique of Mendel by the Oxford professor Raphael Weldon, Bateson incorporated an English translation of Mendel's work into this 1902 book along with a defence of Mendel's statistical experiments and the principles of heredity derived from them. His book is an impassioned appeal for scientists to adopt this 'brilliant method' which he felt could revolutionise both scholarship and industry.

Molecular Biology: Structure and Dynamics of Genomes and Proteomes 2nd edition illustrates the essential principles behind the transmission and expression of genetic information at the level of DNA, RNA, and proteins. Emphasis is on the experimental basis of discovery and the most recent advances in the field while presenting a rigorous, yet still concise, summary of the structural mechanisms of molecular biology. Topics new to this edition include the CRISPR-Cas gene editing system, Coronaviruses - structure, genome, vaccine and drug development, and newly-recognised mechanisms for transcription termination. The text is written for advanced undergraduate or graduate-level courses in molecular biology. Key Features * Highlights the experimental basis of important discoveries in molecular biology * Thoroughly updated with new information on gene editing tools, viruses, and transcription mechanisms, termination and antisense. * Provides learning objectives for each chapter. * Includes a list of relevant videos from the internet about the topics covered in the chapter.

Microbial species isolated from extreme and pristine habitats are always diverse, which indicates biomolecules secreted by these species might have importance. A cure for disease is a desire considering the catastrophic situations that threaten the lives of humans and animals. Currently, the world is facing the health, social and economic, and diplomatic impacts of infectious communicable diseases caused by bacteria and viruses. It is a necessity to understand the huge microbial diversity residing everywhere with us in this world. Microorganisms are species that were born at the start of “life” and will stay after the end of all other forms of life in this world. This unseen majority has significant effects on the biogeochemical cycle as well as has numerous medical and non-medical applications. So, the ability of microorganisms to produce bioactive compounds and how they can be used in different fields, especially medicine and health care, have been discussed in this book.

Originally published in 1982, The Masterpiece of Nature examines sex as representative of the most important challenge to the modern theory of evolution. The book suggests that sex evolved, not as the result of normal Darwinian processes of natural selection, but through competition between populations or species - a hypothesis elsewhere almost universally discredited. The book also discusses the nature of sex and its consequences for the individual and for the population, as well as various other theories of sex. Since the value of these theories is held to reside wholly in their ability to predict the patterns of sexuality observed in nature, the book seeks to provide an extensive review of the circumstances in which sexuality is attenuated or lost throughout the animal kingdom, and these facts are then used to weigh up the merits of the rival theories. This book will be of interest to researchers in the area of genetics, ecology and evolutionary biology.

Interpreting Complex Forensic DNA Evidence is a handy guide to recent advances-and emerging issues-in interpreting complex DNA evidence and profiles for use in criminal investigations. In certain cases, DNA cannot be connected to a specific biological material such as blood, semen or saliva. How or when the DNA was deposited may be an issue. The possibility of generating DNA profiles from touched objects, where there may not be a visible deposit, has expanded the scope and number of exhibits submitted for DNA analysis. With such advances, and increasing improvements in technological capabilities in testing samples, this means it is possible to detect ever smaller amounts of DNA. There are also many efforts underway to seek was to interpret DNA profiles that are sub-optimal-either relative to the amount required by the testing kit and, potentially, the quality of the obtained sample. Laboratories often use enhancements in order to obtain a readable DNA profile. The broad-reaching implications of improving DNA sensitivity have led to this next, emerging generation of more complex profiles. Examples partial profiles that do not faithfully reflect the proposed donor, or mixtures of partial DNA from multiple people. A complexity threshold has been proposed to limit interpretation of poor-quality data. Research is now addressing the interpretation of transfer of trace amounts of DNA. Complex issues are arising in trial that need to be reconciled as such complexity has added challenges to the interpretation of evidence and its introduction or dismissal in certain cases in the courts. Key Features: Addresses DNA transfer, from person-to-person as well as to objects Outlines each stage required to produce a DNA profile from an exhibit-including collection, handling, storage, and analysis Discusses ethics, subjectivity, and bias-including cognitive dissonance-as they relate specifically to complex DNA evidence Highlights current techniques and the latest advances in DNA analysis, including advances in familial DNA searches Interpreting Complex Forensic DNA Evidence provides tools to assist the criminal investigator, forensic expert, and legal professional when posed with a DNA result in a forensic report or testimony. The result-and any associated statistic-may not reveal any ambiguity, complexity, or the assumptions involved in deriving it. Questions from resolved criminal cases are posed, and the relevant forensic literature, provided for the reader to assess a DNA result and any associated statistic. Case studies throughout illustrate concepts and emphasize the need for conclusions in the forensic report that are supported by the data.

The oil palm is a remarkable crop, producing around 40% of the world's vegetable oil from around 6% of the land devoted to oil crops. Conventional breeding has clearly been the major focus of genetic improvement in this crop. A mix of improved agronomy and management, coupled with breeding selection have quadrupled the oil yield of the crop since breeding began in earnest in the 1920s. However, as for all perennial crops with long breeding cycles, oil palm faces immense challenges in the coming years with increased pressure from population growth, climate change and the need to develop environmentally sustainable oil palm plantations. In Oil Palm: Breeding, Genetics and Genomics, world leading organizations and individuals who have been at the forefront of developments in this crop, provide their insights and experiences of oil palm research, while examining the different challenges that face the future of the oil palm. The editors have all been involved in research and breeding of oil palm for many years and use their knowledge of the crop and their disciplinary expertise to provide context and to introduce the different research topics covered.

This book addresses the issue of improving the accuracy in exon prediction in DNA sequences using various adaptive techniques based on different performance measures that are crucial in disease diagnosis and therapy. First, the authors present an overview of genomics engineering, structure of DNA sequence and its building blocks, genetic information flow in a cell, gene prediction along with its significance, and various types of gene prediction methods, followed by a review of literature starting with the biological background of genomic sequence analysis. Next, they cover various theoretical considerations of adaptive filtering techniques used for DNA analysis, with an introduction to adaptive filtering, properties of adaptive algorithms, and the need for development of adaptive exon predictors (AEPs) and structure of AEP used for DNA analysis. Then, they extend the approach of least mean squares (LMS) algorithm and its sign-based realizations with normalization factor for DNA analysis. They also present the normalized logarithmic-based realizations of least mean logarithmic squares (LMLS) and least logarithmic absolute difference (LLAD) adaptive algorithms that include normalized LMLS (NLMLS) algorithm, normalized LLAD (NLLAD) algorithm, and their signed variants. This book ends with an overview of the goals achieved and highlights the primary achievements using all proposed techniques. This book is intended to provide rigorous use of adaptive signal processing algorithms for genetic engineering, biomedical engineering, and bioinformatics and is useful for undergraduate and postgraduate students. This will also serve as a practical guide for Ph.D. students and researchers and will provide a number of research directions for further work. Features Presents an overview of genomics engineering, structure of DNA sequence and its building blocks, genetic information flow in a cell, gene prediction along with its significance, and various types of gene prediction methods Covers various theoretical considerations of adaptive filtering techniques used for DNA analysis, introduction to adaptive filtering, properties of adaptive algorithms, need for development of adaptive exon predictors (AEPs), and structure of AEP used for DNA analysis Extends the approach of LMS algorithm and its sign-based realizations with normalization factor for DNA analysis Presents the normalized logarithmic-based realizations of LMLS and LLAD adaptive algorithms that include normalized LMLS (NLMLS) algorithm, normalized LLAD (NLLAD) algorithm, and their signed variants Provides an overview of the goals achieved and highlights the primary achievements using all proposed techniques Dr. Md. Zia Ur Rahman is a professor in the Department of Electronics and Communication Engineering at Koneru Lakshmaiah Educational Foundation (K. L. University), Guntur, India. His current research interests include adaptive signal processing, biomedical signal processing, genetic engineering, medical imaging, array signal processing, medical telemetry, and nanophotonics. Dr. Srinivasareddy Putluri is currently a Software Engineer at Tata Consultancy Services Ltd., Hyderabad. He received his Ph.D. degree (Genomic Signal Processing using Adaptive Signal Processing algorithms) from the Department of Electronics and Communication Engineering at Koneru Lakshmaiah Educational Foundation (K. L. University), Guntur, India. His research interests include genomic signal processing and adaptive signal processing. He has published 15 research papers in various journals and proceedings. He is currently a reviewer of publishers like the IEEE Access and IGI.

DNA sequence specificity is a sub-specialty in the general area of molecular recognition. This area includes macromolecular-molecular interactions (e.g., protein-DNA), oligomer-DNA interacitons (e.g., triple strands), and ligand-DNA interactions (e.g., drug-DNA). It is this latter group of DNA sequence specificity interactions that is the subject of Volumes 1 and 2 of "Advances in DNA Sequence Specific Agents." As was the case for Volume 1, Part A also covers methodology, but in Volume 2 we include calorimetric titrations, molecular modeling, X-ray crystallographic and NMR structural studies, and transcriptional assays. Part B also follows the same format as Volume 1 and describes the sequence specificities and covalent and noncovalent interactions of small ligands with DNA.
This volume is aimed in general at scientists who have an interest in deciphering the molecular mechanisms for sequence recognition of DNA. The methods have general applicability to small molecules as well as oligomers and proteins, while the examples provide general principles involved in sequence recognition.

The Routledge International Handbook of Social Neuroendocrinology is an authoritative reference work providing a balanced overview of current scholarship spanning the full breadth of the rapidly developing field of social neuroendocrinology. Considering the relationships between hormones, the brain, and social behavior, this collection brings together groundbreaking research in the field for the first time. Featuring 39 chapters written by leading researchers, the handbook offers impressive breadth of coverage. It begins with an overview of the history of social neuroendocrinology before discussing its methodological foundations and challenges. Other topics covered include state-of-the-art research on dominance and aggression; social affiliation; reproduction and pair bonding (e.g., sexual behavior, sexual orientation, romantic relationships); pregnancy and parenting; stress and emotion; cognition and decision making; social development; and mental and physical health. The handbook adopts a lifespan approach to the study of social neuroendocrinology throughout, covering the role that hormones play during gestation, childhood, adolescence, and adulthood. It also illustrates the evolutionary forces that have shaped hormone-behavior associations across species, including research on humans, non-human primates, birds, and rodents. The handbook will serve as an authoritative reference work for researchers, students, and others intrigued by this topic, while also inspiring new lines of research on interactions among hormones, brain, and behavior in social contexts.

A Probabilistic Model of the Genotype/Phenotype Relationship provides a new hypothesis on the relationship between genotype and phenotype. The main idea of the book is that this relationship is probabilistic, in other words, the genotype does not fully explain the phenotype. This idea is developed and discussed using the current knowledge on complex genetic diseases, phenotypic plasticity, canalization and others.

Originally published in 1985, The Semantic Theory of Evolution addresses the notion that life is not shaped by the single law of natural selection, but instead by a plurality of laws that resemble grammatical rules in language. This remarkable work presents a semantic theory centering on the concept of the ribotype. Supported by both sound facts and logical arguments, this analysis reaches beyond the established cadre of biological thought to unravel many of life's mysteries and paradoxes, including the origin of the cell and the nucleus and the evolution of ribosomes.