Ancient DNA refers to DNA which can be recovered and analyzed from clinical, museum, archaeological and paleontological specimens. Ancient DNA ranges in age from less than 100 years to tens of millions of years. The study of ancient DNA is a young field, but it has been revolutionized by the application of polymerase chain reaction technology, and interest is growing very rapidly. Fields as diverse as evolution, anthropology, medicine, agriculture, and even law enforcement have quickly found applications in the recovery of ancient DNA. This book contains contributions from many of the "first generation" researchers who pioneered the development and application of ancient DNA methods. Their chapters present the protocols and precautions which have resulted in the remarkable results obtained in recent years. The range of subjects reflects the wide diversity of applications that are emerging in research on ancient DNA, including the study of DNA to analyze kinship, recovery of DNA from organisms trapped in amber, ancient DNA from human remains preserved in a variety of locations and conditions, DNA recovered from herbarium and museum specimens, and DNA isolated from ancient plant seeds or compression fossils. Ancient DNA will serve as a valuable source of information, ideas, and protocols for anyone interested in this extraordinary field.

'A most moving and important biography, as well as an impressive account of a major event in the history of science'
Lewis Wolpert, 'Literary Review'

Although Rosalind Franklin took the crucial photograph of DNA revealing its double helix structure, her work was overlooked when, four years after her death, three men – Maurice Wilkins of King's College London, Francis Crick of the Cavendish Laboratory and James Watson of Cambridge – were awarded the Nobel Prize for the discovery of DNA.

In this compelling biography of Franklin, Brenda Maddox tells the story of a remarkably single-minded, forthright and tempestuous young woman, who at the age of fifteen decided she wanted to be a scientist, but who was airbrushed out of the greatest scientific discovery of the twentieth century.

'Maddox is a dab hand at drawing a heroine out from behind the long shadows cast by men and her Franklin emerges as a determined, combative woman – a perfectionist who is plagued with self doubt'
Vanessa Thorpe, 'Observer'

'This magnificent biography gives a gripping yet nuanced account that resists the stock story-line of Franklin as the wronged heroine. What really happened is far more intriguing.'
Gail Vines, 'Independent'

'An exhilarating and vivid tale of scientific and personal politics at a time of rapid change in British science.'
Jane Gregory, 'New Scientist'

Sports, Exercise, and Nutritional Genomics: Current Status and Future Directions is the first reference volume to offer a holistic examination of omics-driven advances across different aspects of exercise and sports physiology, biochemistry, sports medicine, psychology, anthropology, and sports nutrition; and highlighting the opportunities towards advance personalized training and athlete health management. More than 70 international experts from 14 countries have discussed key exercise and sport-related themes through the prism of genomics, epigenomics, transcriptomics, proteomics, metabolomics, telomere biology, talent in sport, individual differences in response to regular physical activity, that in the future may empower coaches, sports physicians, fitness experts, genetic counselors, and translational scientists to employ various omics data and approaches in improving health and physical performance of people participating in sports and exercise activities. Contributors address current knowledge of genetic influence on athletic performance, individual responses to exercise training, as well as the genetics of musculoskeletal phenotypes, exercise-related injuries, flexibility, and neurodegenerative disorders in athletes. Finally, performance-related and psychological traits associated with epigenetic, transcriptomic and metagenomic biomarkers are also considered, along with nutritional and pharmacogenomic aids in sports medicine and personalized nutrition.

Evaluating the Statistical Significance of Multiple Distinct Local Alignments; S.F. Altscul. Hidden Markov Models for Human Genes: Periodic Patterns in Exon Sequence; S. Brunak. Identification of Muscle-Specific Transcriptional Regulatory Regions; J.W. Fickett. A Systematic Analysis of Gene Functions by the Metabolic Pathway Database; M. Kanehisa. Polymer Dynamics of DNA, Chromatin and Chromosomes; J. Langowski. Is Whole Human Genome Sequencing Feasible?; E.W. Myers. Sequence patterns Diagnostic of Structure and Function; T.F. Smith. Recognizing Functional Domains in Biological Sequences; G.D. Stormo. Stochastic Modelling in Molecular Genetics; P. Tautu. The Integrated Genomic Database (IGD): Enhancing the Productivity of Gene Mapping Projects; S.P. Bryant. Error Analysis of Genetic Linkage Data; R. Cottingham. Managing Accelerating Data Growth in the Genome Database; K.H. Fasman. Advances in Statistical Methods for Linkage Analysis; D.E. Weeks. Exploring Heterogeneous Molecular Biology Databases in the Context of the Object-Protocol Model; V.M. Markowitz. Comprehensive Genome Information Systems; O. Ritter. Visualizing the Genome; D.B. Searls. Data Management for Ligand-Based Drug Design; K. Aberer. 7 Additional Articles. Index.

This is an introductory text and laboratory manual to be used primarily in undergraduate courses. It is also useful for graduate students and research scientists who require an introduction to the theory and methods of nanopore sequencing. The book has clear explanations of the principles of this emerging technology, together with instructional material written by experts that describes how to use a MinION nanopore instrument for sequencing in research or the classroom.At Harvard University the book serves as a textbook and lab manual for a university laboratory course designed to intensify the intellectual experience of incoming undergraduates while exploring biology as a field of concentration. Nanopore sequencing is an ideal topic as a path to encourage students about the range of courses they will take in Biology by pre-emptively addressing the complaint about having to take a course in Physics or Maths while majoring in Biology. The book addresses this complaint by concretely demonstrating the range of topics - from electricity to biochemistry, protein structure, molecular engineering, and informatics - that a student will have to master in subsequent courses if he or she is to become a scientist who truly understands what his or her biology instrument is measuring when investigating biological phenomena.

Until recently, bacteria were frequently depicted as "bags of enzymes" in which proteins and DNA were distributed relatively haphazardly compared with animal and plant cells. Research performed over the past decade has revolutionized our understanding of bacterial cells, however, revealing that they are in fact highly organized and contain numerous subcompartments. Written and edited by experts in the field, this volume includes contributions discussing the three dimensional organization of the bacterial cell, various subcellular structures found in bacteria, membrane bounded organelles such as magnetosomes, and the organization of the cell membrane. Other chapters examine the recently identified bacterial cytoskeletal filaments which turn out to be remarkably similar to their eukaryotic counterparts as well as the roles of these filaments in morphogenesis and cytokinesis. Also covered are the extraordinary organization of the bacterial genome and the dynamic mechanisms that couple its replication and partitioning at cell division. In addition, the book reviews the various different multicellular structures bacteria can form, such as biofilms, along with new imaging techniques that promise to reveal even more about their subcellular machinery. It is thus of interest to microscopists and biochemists, as well as all microbiologists and cell biologists interested in how bacteria and other prokaryotes function.

DNA. The double helix; the blueprint of life; and, during the early 1950s, a baffling enigma that could win a Nobel Prize. Everyone knows that James Watson and Francis Crick discovered the double helix. In fact, they clicked into place the last piece of a huge jigsaw puzzle that other researchers had assembled over decades. Researchers like Maurice Wilkins (the 'Third Man of DNA') and Rosalind Franklin, famously demonised by Watson. Not forgetting the 'lost heroes' who fought to prove that DNA is the stuff of genes, only to be airbrushed out of history. In Unravelling the Double Helix, Professor Gareth Williams sets the record straight. He tells the story of DNA in the round, from its discovery in pus-soaked bandages in 1868 to the aftermath of Watson's best-seller The Double Helix a century later. You don't need to be a scientist to enjoy this book. It's a page-turner that unfolds like a detective story, with suspense, false leads and treachery, and a fabulous cast of noble heroes and back-stabbing villains. But beware: some of the science is dreadful, and the heroes and villains may not be the ones you expect.

The field of forensic DNA analysis has grown immensely in the past two decades and genotyping of biological samples is now routinely performed in human identification (HID) laboratories. Application areas include paternity testing, forensic casework, family lineage studies, identification of human remains, and DNA databasing. Forensic DNA Analysis: Current Practices and Emerging Technologies explores the fundamental principles and the application of technologies for each aspect of forensic DNA analysis. The book begins by discussing the value of DNA evidence and how to properly recognize, document, collect, and store it. The remaining chapters examine: The most widely adopted methods and the best practices for DNA isolation from forensic biological samples and human remains Studies carried out on the use of both messenger RNA and small (micro) RNA profiling Real-time polymerase chain reaction (PCR) methods for quantification and assessment of human DNA prior to genotyping Capillary electrophoresis (CE) as a tool for forensic DNA analysis Next-generation short tandem repeat (STR) genotyping kits for forensic applications, the biological nature of STR loci, and Y-chromosome STRs (Y-STRs) Mitochondrial DNA (mtDNA) sequence analysis Single nucleotide polymorphisms (SNPs) and insertion/deletion polymorphisms (indels) in typing highly degraded DNA Deep-sequencing technologies The current state of integrated systems in forensic DNA analysis The book concludes by discussing various aspects of sample-processing training and the entities that provide such training programs. This volume is an essential resource for students, researchers, teaching faculties, and other professionals interested in human identification/forensic DNA analysis.

With the advent of new technologies and acquired knowledge, the number of fields in omics and their applications in diverse areas are rapidly increasing in the postgenomics era. Such emerging fields-including pharmacogenomics, toxicogenomics, regulomics, spliceomics, metagenomics, and environomics-present budding solutions to combat global challenges in biomedicine, agriculture, and the environment. OMICS: Applications in Biomedical, Agricultural, and Environmental Sciences provides valuable insights into the applications of modern omics technologies to real-world problems in the life sciences. Filling a gap in the literature, it offers a broad, multidisciplinary view of current and emerging applications of omics in a single volume. Written by highly experienced active researchers, each chapter describes a particular area of omics and the associated technologies and applications. Topics covered include: Proteomics, epigenomics, and pharmacogenomics Toxicogenomics and the assessment of environmental pollutants Applications of plant metabolomics Nutrigenomics and its therapeutic applications Microalgal omics and omics approaches in biofuel production Next-generation sequencing and omics technology for transgenic plant analysis Omics approaches in crop improvement Engineering dark-operative chlorophyll synthesis Computational regulomics Omics techniques for the analysis of RNA splicing New fields, including metagenomics, glycomics, and miRNA Breast cancer biomarkers for early detection Environomics strategies for environmental sustainability This timely book explores a wide range of omics application areas in the biomedical, agricultural, and environmental sciences. Throughout, it highlights working solutions as well as open problems and future challenges. Demonstrating the diversity of omics, it introduces readers to state-of-the-art developments and trends in omics-driven research.

Statisticians have met the need to test hundreds or thousands of genomics hypotheses simultaneously with novel empirical Bayes methods that combine advantages of traditional Bayesian and frequentist statistics. Techniques for estimating the local false discovery rate assign probabilities of differential gene expression, genetic association, etc. without requiring subjective prior distributions. This book brings these methods to scientists while keeping the mathematics at an elementary level. Readers will learn the fundamental concepts behind local false discovery rates, preparing them to analyze their own genomics data and to critically evaluate published genomics research. Key Features: * dice games and exercises, including one using interactive software, for teaching the concepts in the classroom * examples focusing on gene expression and on genetic association data and briefly covering metabolomics data and proteomics data * gradual introduction to the mathematical equations needed * how to choose between different methods of multiple hypothesis testing * how to convert the output of genomics hypothesis testing software to estimates of local false discovery rates * guidance through the minefield of current criticisms of p values * material on non-Bayesian prior p values and posterior p values not previously published

The field of materials science and technology has undergone revolutionary advances due to the development of novel analytical tools, functional materials, and multidisciplinary approaches to engineering. Additionally, theoretical predictions combined with increasingly improved models and computational capabilities are making impressive contributions to the progress of materials science and technology. In particular, the materials science of DNA has emerged as a vital area of research and is expected to immensely broaden the horizon of material science and nanotechnology in this century. Materials Science of DNA highlights the most important subjects and perspectives in the field, with the aim of stimulating the interdisciplinary community and bringing this intensively interesting, emerging field of molecular-scale materials science to maturation. The editors have not only been involved in the research of materials science of DNA for the past decade, but also lead the series of International Biotronics Workshops supported by the US Air Force Research Laboratory. Biotechnology and DNA-based biopolymers are not only applicable for genomic sequencing and clinical diagnosis and treatment, but can also have a major impact on nonbiotech applications-such as electronics and photonics- opening up a whole new field for bioengineering. New concepts and insights gained from DNA research are expected to prove genuinely useful in a variety of devices in nano, micro, and macro dimensions in the future. Where silicon has been the building block of inorganic electronics and photonics, DNA holds promise to become the building block for organic electronics and photonics.

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.

Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: "Experimental Design and Statistical Analysis" presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply to microarray-based gene expression and histone modification (ChIP-on-chip) studies.

After introducing basic statistics, the book describes wet-bench technologies that produce the data for analysis and explains how to preprocess the data to remove systematic artifacts resulting from measurement imperfections. It then explores differential methylation and genomic tiling arrays. Focusing on exploratory data analysis, the next several chapters show how cluster and network analyses can link the functions and roles of unannotated DNA elements with known ones. The book concludes by surveying the open source software (R and Bioconductor), public databases, and other online resources available for microarray research.

Requiring only limited knowledge of statistics and programming, this book helps readers gain a solid understanding of the methodological foundations of DNA microarray analysis.

DNA ancestry companies generate revenues in the region of $1bn a year, and the company 23andMe is said to have sold 10 million DNA ancestry kits to date. Although evidently popular, the science behind how DNA ancestry tests work is mystifying and difficult for the general public to interpret and understand. In this accessible and engaging book, Sheldon Krimsky, a leading researcher, investigates the methods that different companies use for DNA ancestry testing. He also discusses what the tests are used for, from their application in criminal investigations to discovering missing relatives. With a lack of transparency from companies in sharing their data, absent validation of methods by independent scientists, and currently no agreed-upon standards of accuracy, this book also examines the ethical issues behind genetic genealogy testing, including concerns surrounding data privacy and security. It demystifies the art and science of DNA ancestry testing for the general reader.

Information is central to the evolution of biological complexity, a physical system relying on a continuous supply of energy. Biology provides superb examples of the consequent Darwinian selection of mechanisms for efficient energy utilisation. Genetic information, underpinned by the Watson-Crick base-pairing rules is largely encoded by DNA, a molecule uniquely adapted to its roles in information storage and utilisation.This volume addresses two fundamental questions. Firstly, what properties of the molecule have enabled it to become the predominant genetic material in the biological world today and secondly, to what extent have the informational properties of the molecule contributed to the expansion of biological diversity and the stability of ecosystems. The author argues that bringing these two seemingly unrelated topics together enables Schroedinger's What is Life?, published before the structure of DNA was known, to be revisited and his ideas examined in the context of our current biological understanding.

Evolution is one of the most important processes in life. It not only explains the detailed history of life on earth, but its scope also extends into many aspects of our own contemporary behavior-who we are and how we got to be here, our psychology, our cultures-and greatly impacts modern advancements in medicine and conservation biology. Perhaps its most important claim for science is its ability to provide an overarching framework that integrates the many life sciences into a single unified whole. Yet, evolution-evolutionary biology in particular-has been, and continues to be, regarded with suspicion by many. Understanding how and why evolution works, and what it can tell us, is perhaps the single most important contribution to the public perception of science. This book provides an overview of the basic theory and showcases how widely its consequences reverberate across the life sciences, the social sciences and even the humanities. In this book, Robin Dunbar uses examples drawn from plant life, animals and humans to illustrate these processes. Evolutionary science has important advantages. Most of science deals with the microscopic world that we cannot see and invariably have difficulty understanding, but evolution deals with the macro-world in which we live and move. That invariably makes it much easier for the lay audience to appreciate, understand and enjoy. Evolution: What Everyone Needs to Know (R) takes a broad approach to evolution, dealing both with the core theory itself and its impact on different aspects of the world we live in, from the iconic debates of the nineteenth century, to viruses and superbugs, to human evolution and behavior.

Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you're ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

Growing evidence suggests that epigenetic mechanisms play a central role in stem cell biology and are vital for determining gene expression during cellular differentiation and governing mammalian development. In Stem Cell Epigenetics, leading international researchers examine how chromatin regulation and bona fide epigenetic mechanisms underlie stem cell renewal and differentiation. Authors also explore how the diversity of cell types, including the extent revealed by single cell omic approaches, is achieved, and how such processes may be reversed or managed via epigenetic reprogramming. Topics discussed include chromatin in pluripotency, stem cells and DNA methylation, histone modifications in stem cells and differentiation, higher-order chromatin conformation in pluripotent cells, stem cells and cancer, epigenetics and disease modeling, brain organoids from pluripotent cells, transcriptional regulation in stem cells and differentiation, non-coding RNAs in pluripotency and early differentiation, and diseases caused by epigenetic alterations in stem cells. Additionally, the book discusses the potential implementation of stem cell epigenetics in drug discovery, regenerative medicine, and disease treatment. Stem Cell Epigenetics will provide researchers and physicians with a state-of-the-art map to orient across the frontiers of this fast-evolving field.

Developmental and Fetal Origins of Differences in Monozygotic Twins: From Genetics to Environmental Factors examines the major causes of discordance in monozygotic twins, from genetic, to environmental influences, including discussions on the genetic, epigenetic, fetal and environmental factors. Twin differences discussed include malformations, deformations and disruptions secondary to inequitable division of the early embryo, chromosome and single gene mosaicism, Nonrandom X chromosome inactivation, mitochondrial heteroplasmy, epigenetic variation, and variable and inequitable blood supply, among other influences. Differences in hemoglobin levels, placentation and amniotic fluid are also examined, while full color images illustrate discordant anomalies and twin differences throughout.

RNA-based Regulation in Human Health and Disease offers an in-depth exploration of RNA mediated genome regulation at different hierarchies. Beginning with multitude of canonical and non-canonical RNA populations, especially noncoding RNA in human physiology and evolution, further sections examine the various classes of RNAs (from small to large noncoding and extracellular RNAs), functional categories of RNA regulation (RNA-binding proteins, alternative splicing, RNA editing, antisense transcripts and RNA G-quadruplexes), dynamic aspects of RNA regulation modulating physiological homeostasis (aging), role of RNA beyond humans, tools and technologies for RNA research (wet lab and computational) and future prospects for RNA-based diagnostics and therapeutics. One of the core strengths of the book includes spectrum of disease-specific chapters from experts in the field highlighting RNA-based regulation in metabolic & neurodegenerative disorders, cancer, inflammatory disease, viral and bacterial infections. We hope the book helps researchers, students and clinicians appreciate the role of RNA-based regulation in genome regulation, aiding the development of useful biomarkers for prognosis, diagnosis, and novel RNA-based therapeutics.

The Compact Guide: DNA provides a fascinating look at the world of the double helix and examines who we are, how we're wired, and how we repair ourselves. With information on so-called 'junk' DNA, how our genes evolved, heritability, the genetics of neuroscience, viruses, disease and what happens when things go wrong, this is a beautiful, visual journey through the polymer chain. The Compact Guide: DNA is an engaging and essential read for anyone captivated by the scope of human discovery, and reveals how we might just uncover the answers to the secrets of life on Earth.

Race, while drawn from the visual cues of human diversity, is an idea with a measurable past, an identifiable present, and an uncertain future. The concept of race has been at the center of both triumphs and tragedies in American history and has had a profound effect on the human experience. Race Unmasked revisits the origins of commonly held beliefs about the scientific nature of racial differences, examines the roots of the modern idea of race, and explains why race continues to generate controversy as a tool of classification even in our genomic age. Surveying the work of some of the twentieth century's most notable scientists, Race Unmasked reveals how genetics and related biological disciplines formed and preserved ideas of race and, at times, racism. A gripping history of science and scientists, Race Unmasked elucidates the limitations of a racial worldview and throws the contours of our current and evolving understanding of human diversity into sharp relief.

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.

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