An invaluable resource for computational biologists and researchers from other fields seeking an introduction to the topic, Chromatin: Structure, Dynamics, Regulation offers comprehensive coverage of this dynamic interdisciplinary field, from the basics to the latest research. Computational methods from statistical physics and bioinformatics are detailed whenever possible without lengthy recourse to specialized techniques.

This book combines linguistic and historical approaches with the latest techniques of DNA analysis and shows the insights these offer for every kind of genealogical research. It focuses on British names, tracing their origins to different parts of the British Isles and Europe and revealing how names often remain concentrated in the districts where they first became established centuries ago. In the process the book casts fresh light on the ancient peopling of the British Isles. The authors consider why some names die out while others spread across the globe. They use recent advances in DNA testing to investigate whether particular surnames have single, dual, or multiple origins, and to find out if the various forms of a single name have a common origin. They show how information from DNA can be combined with historical evidence and techniques to distinguish between individuals with the same name and different names with similar spellings, and to identifty the name of the same individual or family spelt in various ways in different times and places. The final chapter of this paperback edition, looking at the use of genetics in historical research, has been updated to include new work on the DNA of Richard III.

The State of the Art in Transcriptome Analysis RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes. Balanced Coverage of Theory and Practice.Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software. The Tools and Methods to Get Started in Your Lab. Taking readers through the whole data analysis workflow, this self-contained guide provides a detailed overview of the main RNA-seq data analysis methods and explains how to use them in practice. It is suitable for researchers from a wide variety of backgrounds, including biology, medicine, genetics, and computer science. The book can also be used in a graduate or advanced undergraduate course.

Population genetics is an inherently quantitative discipline, yet often focuses upon abstract concepts which can be difficult to conceptualize and appropriately visualize at first glance. This book focuses on applying the hugely popular R software specifically to the field, offering an accessible, step-by-step guide to tackling the challenges of achieving effective data interpretation and summary. The authors adopt an engaging "learning by doing" approach that will enable readers to develop an intuitive understanding of key population genetics concepts through the use of R. Beginning with the groundwork of installing and using R (including CRAN and the RStudio IDE), the book works through the use of basic commands for data manipulation. An introduction to basic terminology in population genetics follows, clearly explaining how these fundamental assumptions can provide insights and form basic inferences for real populations. The focus then moves onto statistical tests including writing and running algorithms as functions. Subsequent chapters examine genetic variation, adaptation, and natural selection as well as different approaches to population differences. Importantly, the accompanying set of practical exercises demonstrate that implementing all of these concepts via programming can actually help greatly in understanding them, even if they may at first seem insurmountably complex. Finally, this accessible textbook points the way forwards to other key concepts that are important to understanding modern day population genetics research (in particular coalescent theory) and offers the reader useful launching points for further learning. Population Genetics with R is aimed at students ranging from undergraduate to postgraduate level in the fields of population genetics, ecology, evolutionary biology, conservation genetics, computational biology, and biostatistics.

This book combines linguistic and historical approaches with the latest techniques of DNA analysis and show the insights these offer for every kind of genealogical research. It focuses on British names, tracing their origins to different parts of the British Isles and Europe and revealing how names often remain concentrated in the districts where they first became established centuries ago. In the process the book casts fresh light on the ancient peopling of the British Isles. The authors consider why some names die out, and how others have spread across the globe. They use recent advances in DNA testing to discover whether particular surnames have a single, dual or multiple origins and whether various forms of a name have a common origin. They show how information from DNA can be combined with historical evidence and techniques to distinguish between individuals with the same name and different names with similar spellings and to identify the name of the same individual or family spelt in various ways in different times and places. Clearly written and illustrated with hundreds of examples, this book will be welcomed by all those engaged in genealogical research, including everyone seeking to discover the histories of their names and families.

Our ever-increasing knowledge of whole genome sequences is unveiling a variety of structures and mechanisms that impinge on current evolutionary theory. The origin of species, the evolution of form, and the evolutionary impact of transposable elements are just a few of the many processes that have been revolutionized by ongoing genome studies. These novelties, among others, are examined in this book in relation to their general significance for evolution, emphasising their human relevance. The predominance of non-coding DNA in the human genome, the long-term adaptive role of so called "junk DNA" in the evolution of new functions, and the key evolutionary differences that define our humanity are just some of the controversial issues that this book examines in the context of Darwinian evolution. The author's principle intention is to show that whilst genomics is revealing new and previously unanticipated mechanisms and sources of variability that must be incorporated into evolutionary theory, there is no reason to dismiss the role of natural selection as the mechanism that sorts out these potentialities. In other words, this genome potential provides new possibilities (and also constraints) for evolution, but the realization of this potential is driven by natural selection.

Genomics and genome technology is having, and continues to have, a major impact on all areas of bioscience research providing insights into the key area of molecular mechanisms of cells in health and disease. This is causing a profound effect on biomedical science and is accelerating the development of new diagnostic applications. This book provides a timely, graduate level introduction to the fast-paced area of genomics and clinical diagnostic technologies and introduces the concept of applications based on this area. The initial chapters focus on principal molecular technologies that underpin the information in the later chapters. In addition to introductory areas of nucleic acids and techniques in molecular biology, bioinformatics and proteomics, other key diagnostic areas such as the use of immunological reagents are covered. The later chapters provide more specialised examples of currently used diagnostic technologies and insights into selected key diagnostic challenges including specific examples of molecular microbial diagnostics and molecular biomarkers in oncology. The running themes through the chapters provides an insight into current and future perspectives in this rapidly evolving field.

Known world-wide as the standard introductory text to this important and exciting area, the sixth edition of "Gene Cloning and DNA Analysis" addresses new and growing areas of research whilst retaining the philosophy of the previous editions. Assuming the reader has little prior knowledge of the subject, its importance, the principles of the techniques used and their applications are all carefully laid out, with over 250 clearly presented four-colour illustrations.

In addition to a number of informative changes to the text throughout the book, the final four chapters have been significantly updated and extended to reflect the striking advances made in recent years in the applications of gene cloning and DNA analysis in biotechnology.

"Gene Cloning and DNA Analysis" remains an essential introductory text to a wide range of biological sciences students; including genetics and genomics, molecular biology, biochemistry, immunology and applied biology. It is also a perfect introductory text for any professional needing to learn the basics of the subject. All libraries in universities where medical, life and biological sciences are studied and taught should have copies available on their shelves.

..". the book content is elegantly illustrated and well organized in clear-cut chapters and subsections... there is a Further Reading section after each chapter that contains several key references... What is extremely useful, almost every reference is furnished with the short but distinct author's remark."
-"Journal of Heredity," 2007 (on the previous edition)

John Butler, bestselling author of Forensic DNA Typing, now applies his expertise on the subject of DNA analysis into an introductory textbook. Fundamentals of Forensic DNA Typing walks students step-by-step through the DNA analysis process beginning with collection of evidence at a crime scene to the statistical interpretation of the results. Also included are brief discussions of such news worthy topics as victim identification from the September 11, 2001 attacks, the identification of the remains of the Romanovs, the last Russian Royal family, and the O.J. Simpson case. New applications, such as genetic genealogy and tracing domestic pet hairs to perpetrators, are also detailed. With its clear and understandable style and extensive list of online ancillaries and study aids, this textbook will make the subject accessible to students in forensic science courses worldwide.
Includes a glossary with over 400 terms for quick reference of unfamiliar terms as well as an acronym guide to decipher the DNA dialectContinues in the style of Forensic DNA Typing, 2e, with high-profile cases addressed in D.N.A.Boxes-- "Data, Notes & Applications" sections throughoutAncillaries include: instructor manual Web site, with tailored set of 1000+ PowerPoint slides (including figures), links to online training websites and a test bank with key

In Managing Health in the Genomic Era: A Guide to Family Health History and Disease Risk, Drs. Vincent C. Henrich, Lori A. Orlando, and Brian H. Shirts discuss the practical considerations surrounding the use of genomic and genetic tests to manage patient health, to provide adult disease risk assessment, to improve diagnosis, and to support effective interventions and treatment. In 10 chapters, evidence-based information and case studies are described and examine the central place of family health history (FHH) in genomic medicine, tools and strategies for compiling and analyzing family health history, how to identify existing and novel genetic markers, how to identify lineage specific (or rare) variants within families, and how to find effective interventions based on genetic testing results and FHH. Factors that influence clinical practice, including gene-environment interactions, FHH social networking, direct to consumer (DTC) genetic testing and data sharing, algorithms for analyzing genetic data, and patient counseling are discussed from the standpoint of clinical practice. Here, frontline healthcare providers will discover succinct commentary and key examples to assist with their local needs. Relevant principles of genetic biology and inheritance are explored and guidance on available support networks and online resources is also provided.

This book adopts an experimental approach to understanding the mechanisms of evolution and the nature of evolutionary processes, with examples drawn from microbial, plant and animal systems. It incorporates insights from remarkable recent advances in theoretical modeling, and the fields of molecular genetics and environmental genomics.
Adaptation is caused by selection continually winnowing the genetic variation created by mutation. In the last decade, our knowledge of how selection operates on populations in the field and in the laboratory has increased enormously, and the principal aim of this book is to provide an up-to-date account of selection as the principal agent of evolution. In the classical Fisherian model, weak selection acting on many genes of small effect over long periods of time is responsible for driving slow and gradual change. However, it is now clear that adaptation in laboratory populations often involves strong selection acting on a few genes of large effect, while in the wild selection is often strong and highly variable in space and time. Indeed these results are changing our perception of how evolutionary change takes place. This book summarizes our current understanding of the causes and consequences of selection, with an emphasis on quantitative and experimental studies. It includes the latest research into experimental evolution, natural selection in the wild, artificial selection, selfish genetic elements, selection in social contexts, sexual selection, and speciation.
Selection: The Mechanism of Evolution is an advanced textbook suitable for senior undergraduate and graduate students taking courses in evolutionary biology, ecology, populationgenetics, and experimental evolution. It will also be a valuable reference tool for those professional researchers in these fields requiring an authoritative and up-to-date overview of the topic, as well as providing an accessible treatment of evolutionary mechanisms for molecular and cellular biologists.

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. Drawing on the author's first-hand experiences as an expert in R, the book begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database interactions. The author also examines different facets of string handling and manipulations, discusses the interfacing of R with other languages, and describes how to write software packages. He concludes with a discussion on the debugging and profiling of R code. With numerous examples and exercises, this practical guide focuses on developing R programming skills in order to tackle problems encountered in bioinformatics and computational biology.

Macromolecular Crystallography is the study of macromolecules (proteins and nucleic acids) using X-ray crystallographic techniques in order to determine their molecular structure. The knowledge of accurate molecular structures is a pre-requisite for rational drug design, and for structure-based function studies to aid the development of effective therapeutic agents and drugs. The successful determination of the complete genome (genetic sequence) of several species (including humans) has recently directed scientific attention towards identifying the structure and function of the complete complement of proteins that make up that species; a new and rapidly growing field of study called 'structural genomics'. There are now several important and well-funded global initiatives in operation to identify all of the proteins of key model species. One of the main requirements for these initiatives is a high-throughput crystallization facility to speed-up the protein identification process. The extent to which these technologies have advanced, calls for an updated review of current crystallographic theory and practice. This practical reference book features the latest conventional and high-throughput methods, and includes contributions from a team of internationally recognized leaders and experts. It will be of relevance and use to graduate students, research scientists and professionals currently working in the field of conventional and high-throughput macromolecular crystallography.

Unlock the secrets in your DNA!

Discover the answers to your family history mysteries using the most-cutting edge tool available. This plain-English guide is a one-stop resource for how to use DNA testing for genealogy. Inside, you'll find guidance on what DNA tests are available, plus the methodologies and pros and cons of the three major testing companies and advice on choosing the right test to answer your specific genealogy questions. And once you've taken a DNA test, this guide will demystify the often-overwhelming subject and explain how to interpret DNA test results, including how to understand ethnicity estimates and haplogroup designations, navigate suggested cousin matches, and use third-party tools like GEDmatch to further analyze your data. To give you a holistic view of genetic testing for ancestry, the book also discusses the ethics and future of genetic genealogy, as well as how adoptees and others who know little about their ancestry can especially benefit from DNA testing.

The book features:

• Colorful diagrams and expert definitions that explain key DNA terms and concepts such as haplogroups and DNA inheritance patterns
• Detailed guides to each of the major kinds of DNA tests and which tests can solve which family mysteries, with case studies showing how each can be useful
• Information about third-party tools you can use to more thoroughly analyze your test results once you've received them
• Test comparison guides and research forms to help you select the most appropriate DNA test and organize your results and research once you've been tested

With humor, depth, and philosophical and historical insight, "DNA" reaches out to a wide range of readers with its graphic portrayal of a complicated science. Suitable for use in and out of the classroom, this volume covers DNA's many marvels, from its original discovery in 1869 to early-twentieth-century debates on the mechanisms of inheritance and the deeper nature of life's evolution and variety.

Even readers who lack a background in science and philosophy will learn a tremendous amount from this engaging narrative. The book elucidates DNA's relationship to health and the cause and cure of disease. It also covers the creation of new life forms, nanomachines, and perspectives on crime detection, and considers the philosophical sources of classical Darwinian theory and recent, radical changes in the understanding of evolution itself. Already these developments have profoundly affected our notions about living things. Borin Van Loon's humorous illustrations recount the contributions of Gregor Mendel, Frederick Griffith, James Watson, and Francis Crick, among other biologists, scientists, and researchers, and vividly depict the modern controversies surrounding the Human Genome Project and cloning.

The popular image of Scotland is dominated by widely recognised elements of Celtic culture. But could it be that a significant non-Celtic influence on Scotland's history has been largely ignored or unknown for centuries? This book argues just such a case, maintaining that much of Scotland's history and culture from 1100 forward is Jewish. The authors provide evidence that much of the population, including several national heroes, villains, rulers, nobles, traders, merchants, bishops, guild members, burgesses, and ministers, was of Jewish descent. They describe how the ancestors of these persons originated in France and Spain and then made their way to Scotland's shores, moors, burgs and castles from the reign of Malcolm Canmore to the aftermath of the Spanish Inquisition. It is proposed here that much of the traditional historical account of Scotland rests on fundamental interpretive errors, and that these errors have been perpetuated in order to manufacture and maintain an origin for Scotland that affirms its identity as a Celtic, Christian society. This equation of Scotland with Celtic culture in the popular (and academic) imagination has buried a more accurate and profound understanding of its history. The authors' wide-ranging research includes examination of census records, archaeological artifacts, castle carvings, cemetery inscriptions, religious seals, coinage, burgess and guild member rolls, noble genealogies, family crests, portraiture, and geographic place names.

Technology for modifying the genotypes and phenotypes of insects and other arthropods has steadily progressed with the development of more precise and powerful methods, most prominently transgenic modification. For many insect pests, there is now almost unlimited ability to modify phenotypes to benefit human health and agriculture. Precise DNA modifications and gene drive have the power to make wild-type populations less harmful in ways that could never have been performed with previous transgenic approaches. This transition from primarily laboratory science to greater application for field use has also necessitated greater development of modeling, ethical considerations and regulatory oversight. The 2nd Edition of Transgenic Insects contains chapters contributed by experts in the field that cover technologies and applications that are now possible. This edition includes increased attention to associated challenges of risk assessment, regulation, and public engagement. Featuring: Up-to-date analysis of molecular techniques, such as gene editing. Consideration of public attitudes and regulatory aspects associated with transgenic insects. Many examples of the wide range of applications of transgenic insects. This book will be very valuable to students and researchers in entomology, molecular biology, genetics, public health and agriculture, and will also appeal to practitioners who are implementing the technology, and to regulators, stakeholders and ethicists.

With its modern chapter organization and new Focus on Genomics boxes, iGenetics: A Molecular Approach reflects the increasing molecular emphasis in today's experimental study of genes while helping students develop problem-solving skills and an appreciation for classic experiments. Although molecular topics are presented first, instructors can assign the chapters in any sequence. Pedagogical features such as chapter-opening Key Questions and strategically placed Keynotes help students to efficiently master genetic concepts. The Genetics Place Companion Website contains interactive iActivities and narrated animations that help students visualize and understand processes and concepts that are illustrated in the text.

A collection of outspoken and topical essays, speeches, and reports by J. D. Watson, co-discoverer of the structure of DNA in 1953 and best-selling author of The Double Helix. These often controversial pieces cover the advance of molecular genetics, the prospect of curing cancer over the next decade, how human genetic knowledge is likely to be used, for good or bad, and Watson's early life and career.

With the arrival of genomics and genome sequencing projects, biology has been transformed into an incredibly data-rich science. The vast amount of information generated has made computational analysis critical and has increased demand for skilled bioinformaticians. Designed for biologists without previous programming experience, this textbook provides a hands-on introduction to Unix, Perl and other tools used in sequence bioinformatics. Relevant biological topics are used throughout the book and are combined with practical bioinformatics examples, leading students through the process from biological problem to computational solution. All of the Perl scripts, sequence and database files used in the book are available for download at the accompanying website, allowing the reader to easily follow each example using their own computer. Programming examples are kept at an introductory level, avoiding complex mathematics that students often find daunting. The book demonstrates that even simple programs can provide powerful solutions to many complex bioinformatics problems.

Advances in chemistry, biology and genomics coupled with laboratory automation and computational technologies have led to the rapid emergence of the multidisciplinary field of chemical genomics. This edited text, with contributions from experts in the field, discusses the new techniques and applications that help further the study of chemical genomics. The beginning chapters provide an overview of the basic principles of chemical biology and chemical genomics. This is followed by a technical section that describes the sources of small-molecule chemicals; the basics of high-throughput screening technologies; and various bioassays for biochemical-, cellular- and organism-based screens. The final chapters connect the chemical genomics field with personalized medicine and the druggable genome for future discovery of new therapeutics. This book will be valuable to researchers, professionals and graduate students in many fields, including biology, biomedicine and chemistry.

What are the evolutionary mechanisms and ecological implications behind a pollinator choosing its favourite flower? Sixty-five million years of evolution has created the complex and integrated system which we see today and understanding the interactions involved is key to environmental sustainability. Examining pollination relationships from an evolutionary perspective, this book covers both botanical and zoological aspects. It addresses the puzzling question of co-speciation and co-evolution and the complexity of the relationships between plant and pollinator, the development of which is examined through the fossil record. Additional chapters are dedicated to the evolution of floral displays and signalling, as well as their role in pollination syndromes and the building of pollination networks. Wide-ranging in its coverage, it outlines current knowledge and complex emerging topics, demonstrating how advances in research methods are applied to pollination biology.

This meticulous book explores the leading methodologies, techniques, and tools for microarray data analysis, given the difficulty of harnessing the enormous amount of data. The book includes examples and code in R, requiring only an introductory computer science understanding, and the structure and the presentation of the chapters make it suitable for use in bioinformatics courses. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and expert implementation advice that ensures successful results and reproducibility. Authoritative and practical, Microarray Data Analysis is an ideal guide for students or researchers who need to learn the main research topics and practitioners who continue to work with microarray datasets.

In 2007, Misha Angrist became the fourth subject in the Personal Genome Project, George Church's ambitious plan to sequence the entire genomic catalog: every participant's twenty thousand-plus genes and the rest of his or her 6 billion base pairs. Church hopes to better understand how genes influence our physical traits, from height and athletic ability to behavior and weight, and our medical conditions, from cancer and diabetes to obesity and male pattern baldness. Now Angrist reveals startling information about the experiment's participants and scientists; how the experiment was, is, and will be conducted; the discoveries and potential discoveries; and, the profound implications of having an unfiltered view of our hardwired selves for us and for our children. DNA technology has already changed our health care, the food we eat, and our criminal justice system. Unlocking the secrets of our genomes opens the door not only to helping us understand why we are the way we are and potentially fixing what ails us but also to many other concerns: What exactly will happen to this information? Will it become just another marketing tool? Can it help us understand our ancestry, or will it merely reinforce old ideas of race? Can personal genomics help fix the U.S. health care system? "Here Is a Human Being" explores these complicated questions while documenting Angrist's own fascinating journey-one that tens of thousands of us will soon make.

RNA Interference (RNAi) technology has rapidly become one of the key methods used in functional genomics. RNAi is used to block the expression of genes and create phenotypes that can potentially yield clues about the function of these genes. In the postgenomic era, the elucidation of the physiological function of genes has become the rate-limiting step in the quest to develop 'gene-based drugs' and RNAi could potentially play a pivotal role in the validation of such novel drugs. In this 2005 overview, the basic concepts and applications of RNAi biology are discussed. Leading experts from both academia and industry have contributed to this invaluable reference. The volume is forwarded by Andrew Fire, one of the winners of the 2006 Nobel Prize for the discovery of RNA Interference.