This book details the statistical concepts used in gene mapping, first in the experimental context of crosses of inbred lines and then in outbred populations, primarily humans. It presents elementary principles of probability and statistics, which are implemented by computational tools based on the R programming language to simulate genetic experiments and evaluate statistical analyses. Each chapter contains exercises, both theoretical and computational, some routine and others that are more challenging. The R programming language is developed in the text.

This book is an excellent introductory text describing the use of bioinformatics to analyze genomic and post-genomic data. It has been translated from the original popular French edition, which was based on a course taught at the well-respected Ecole Polytechnique in Palaiseau. This edition has been fully revised and updated by the authors.

After a brief introduction to gene structure and sequence determination, it describes the techniques used to identify genes, their protein-coding sequences and regulatory regions. The book discusses the methodology of comparative genomics, using information from different organisms to deduce information about unknown sequences. There is a comprehensive chapter on structure prediction, covering both RNA and protein. Finally, the book describes the complex networks of RNA and protein that exist within the cell and their interactions, ending with a discussion of the simulation approaches that can be used to model these networks.

Praise from the reviews:

""In context of the new developments the genomic era has brought, Bioinformatics: Genomics and Post-Genomics becomes a fundamental and indispensable resource for undergraduate and early graduate students...insightfully authored...will immensely help students...in establishing important foundations while shaping their careers."" NEWSLETTER, BRITISH SOCIETY OF CELL BIOLOGY

Quick, who won the Nobel Prize for discovering the double helical structure of DNA? Most people would say Watson and Crick. But most people would make Maurice Wilkins very upset. The Rodney Dangerfield of biology, Wilkins shared the prize with Watson and Crick but missed out on the limelight, due largely to Watson's hit book, The Double Helix. Wilkins thought the book was so misleading he asked Harvard University Press not to publish it. Things have quieted down a bit now, and Wilkins is now telling the story his way. This book tells how he showed his colleagues the x-ray picture that gave them their crucial insight, and about his interactions with Rosalind Franklin, the researcher who actually created the picture, and who also received very little credit for her role in the discovery. This year marks the 50th anniversary of the DNA discovery. Finally Wilkins gets to have his say.

"Data Analysis and Visualization in Genomics and Proteomics" is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems. One of the first systematic overviews of the problem of biological data integration using computational approachesThis book provides scientists and students with the basis for the development and application of integrative computational methods to analyse biological data on a systemic scalePlaces emphasis on the processing of multiple data and knowledge resources, and the combination of different models and systems

DNA as the genetic material is a topic of intense interest in the 21st century with the familiar and iconic Watson-Crick double helix having a vital importance for its function. However, there are further complexities beyond the double helix, including supercoiling, knotting and catenation, that are less widely appreciated and understood but which are critical to its function. This book explains these topological aspects of DNA structure in a clear and approachable style that will be appreciated by both students and researchers interested in DNA structure and function.

"We are sure that DNA: Forensic and Legal Applications will play its part in promoting this most powerful tool in the forensic scientist's armamentarium."
-James Watson, PhD
-Jan Witkowski. PhD

Because it consists of a number of complex steps and procedures subject to both scientific and legal standards, the collection, analysis, presentation, and interpretation of DNA evidence remains a complex process. Any procedural or documentary misstep can potentially render key evidence or testimony useless. To avoid such costly errors, scientists, law enforcement personnel, attorneys, and judges all must possess a detailed knowledge of how forensic DNA works, from the crime scene to the laboratory to the courtroom and beyond.

DNA: Forensic and Legal Applications provides the most comprehensive and up-to-date guide to this important and increasingly prevalent legal tool. Designed to reach readers in both legal and scientific fields, this text gives a global view of the practical issues involved in the forensic use of DNA. In clear, nontechnical language, the text covers:

• A scientific overview of DNA and common DNA tests
• Techniques used by criminalists on the path from crime scene to final laboratory analysis
• Procedures used to analyze biological evidence
• Human genetics, population genetics, and statistics in the context of DNA testing and genetic profiling
• Understanding and interpreting DNA evidence with respect to past and present law
• Concepts and procedures used in challenging or defending DNA evidence
• Postconviction appeals based on analysis of existing DNA evidence, including a discussion of The InnocenceProject
• The future of DNA technology with respect to legal evidence gathering and analysis

In a unique combination of legal practice and scientific analysis, DNA: Forensic and Legal Applications provides forensic scientists, potential expert witnesses, and professionals in the criminal justice system with the definitive resource on the methods of DNA analysis as well as the handling, potential, and limitations of DNA evidence.

"Genome Transcriptome and Proteome Analysis" is a concise introduction to the subject, successfully bringing together these three key areas of research. Starting with a revision of molecular genetics the book offers clear explanations of the tools and techniques widely used in genome, transcriptome and proteome analysis. Subsequent chapters offer a broad overview of linkage maps, physical maps and genome sequencing, with a final discussion on the identification of genes responsible for disease.

An invaluable introduction to the basic concepts of the subject, this text offers the student an excellent overview of current research methods and applications and is a good starting point for those new to the area.A clear, concise introduction to the subject of modern genomic analysisA technology-oriented approach including the latest developments in the fieldInvaluable to those students taking courses in Bioinformatics, Human Genetics, Biochemistry and Molecular Biology

Mitochondrial Eve and Y-Chromosomal Adam discusses theoretical ideas, interpretations, and paleontological evidence to narrate the origin and evolutionary story of Sapiens through the transitional stages of archaic human species involved in the evolutionary pilgrimage, from the great apes and to modern humans. Author Subir Ranjan Kundu investigates the DNA footprints of primates - great apes, archaic humans, and anatomically modern human beings - to stretch out the missing links between evolutionary milestones to define and redefine the progress of life. The origin and evolution of Humans have always remained a source of debate between the creationists and evolutionists, in terms of recognizing the results of such researches on biological evolution and its credible interpretation of the evolutionists who upheld the origin and evolution of "Sapiens" resulting from great apes in course of the gradual evolutionary progress of life. Kundu analyzes interpretations of molecular and evolutionary geneticists over the last four decades and presents detailed illustrations on the matrilineal inheritance of mitochondrial DNA (represented by mitochondrial Eve as primordial mother), patrilineal inheritance of Y-chromosomal DNA (represented by Y-chromosomal Adam as primordial father). He also presents elaborate structural aspects of the human genome and molecular aspects of the DNA footprint of Sapiens. This book is addressed to heterogeneous readers, graduate, and post-graduate students, research scientists and the general public interested in the origins and biological evolution of humans in view of molecular phylogenetics.

DNA transfer to cultured cells
Edited by Katya Ravid and R. Ian Freshney
Rapid advances in DNA transfer technology have transformed many disciplines, ranging from molecular genetics to biotechnology. Scientists now have the means to introduce copies of genes into different cell types, then detect the expression of these genes in the cell. It is now possible to regulate cell growth that may lead to cancer, develop new biopharmaceuticals, and apply knowledge about the role of genes in cell processes to basic research in molecular genetics.
DNA Transfer to Cultured Cells is the first quick reference to all of the established techniques for the transfer of genetic material to cells in vitro. Featuring contributions by leading researchers in the field, this detailed guide walks the reader through a variety of DNA transfer methods, describes their application to specific cell types, and integrates aspects of molecular biology with tissue culture. Offering overviews and detailed protocols for the techniques under discussion in each of its sections, this book covers an exceptionally broad array of topics, including:
* Viral infection
* Electroporation
* Phosphate precipitation
* DEAE Dextran
* Liposomes
* Yeast artificial chromosomes (YACs)
* Whole chromosome transfer
* Enhanced expression.
Special sections at the end of each chapter list suppliers for necessary reagents and materials. This easy-to-use, self-contained guide addresses key developments of recent years as well as emerging trends in DNA transfer. For practical applications in cell biology, genetics, heredity, biotechnology, or evolution, DNA Transfer to Cultured Cells is a uniqueand unparalleled resource.

The results obtained from, and techniques used in, different fields of science, such as mathematics, physics and biology are selected, gathered and analyzed to provide an introduction to the developing field of research into the nonlinear physics of DNA. The DNA molecule, which has been traditionally studied by techniques developed through molecular biology, is considered here rather from a physicist's viewpoint, as a nonlinear dynamical system. This is a complimentary way of looking at the molecule, and is arrived at following both a theoretical analysis of interactions and motions in DNA, and as a result of interpretation of experimental data. It is shown that this "nonlinear physics" approach allows one to explain some of the mechanisms of DNA functioning, and that it can offer possibilities in the study and interpretation of genetic codes. This text introduces all those involved in the study of the DNA molecule from a traditional, molecular biology viewpoint, to some of the results and developments which have been realized using a nonlinear physics approach, and should also allow biologists, biochemists and physicists to continue to develop non-traditional techniques of investigating the DNA molecule.

MicroRNA research and development is the billion-dollar baby and most lucrative option for drug discovery in gene therapy industries worldwide. Personalized microRNA treatments are in many cases the only remedy for viral diseases that have no cure in conventional drugs and offer to bring us closer than ever to "personalized medicine." They also counteract cancer and other infectious and neuro-diseases. Early diagnosis, prognosis, staging, and sub-classification of various cancers can easily be facilitated by microRNA-based biomarkers. MicroRNA surveys recent advances in RNA and RNA-protein components that highlight RNA delivery, its stability, and applications of RNA-based drugs for the modulation of gene/protein expression and gene editing. The book not only focuses on the modern medicines of microRNA-based early diagnostic and therapy development, but also works as a hidden treasure for drug discovery of multiple rare diseases worldwide. It offers indispensable learning materials for academic researchers, graduate, and medical students, and offers a powerful practical guide for RNA-Pharma and gene therapy industries.

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.

Single Molecule Science (SMS) has emerged from developing, using and combining technologies such as super-resolution microscopy, atomic force microscopy, and optical and magnetic tweezers, alongside sophisticated computational and modelling techniques. This comprehensive, edited volume brings together authoritative overviews of these methods from a biological perspective, and highlights how they can be used to observe and track individual molecules and monitor molecular interactions in living cells. Pioneers in this fast-moving field cover topics such as single molecule optical maps, nanomachines, and protein folding and dynamics. A particular emphasis is also given to mapping DNA molecules for diagnostic purposes, and the study of gene expression. With numerous illustrations, this book reveals how SMS has presented us with a new way of understanding life processes. A must-have for researchers and graduate students, as well as those working in industry, primarily in the areas of biophysics, biological imaging, genomics and structural biology.

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.

This thorough introductory volume presents the background, applications, and stepwise directions for standard DNA and RNA isolation techniques. Unlike a kit chemistry approach, this book provides a breadth of information necessary for junior or non-expert researchers to learn and apply these techniques in their work. An accessible, indispensable how-to guide for researchers in immunology, molecular biology, zoology, forensic science, genetics, botany, neuroscience, physiology, and others.

This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.

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.

Surveying the last sixty years of research, this book describes the physical properties of DNA in the context of its biological functioning. It is designed to enable both students and researchers of molecular biology, biochemistry and physics to better understand the biophysics of DNA, addressing key questions and facilitating further research. The chapters integrate theoretical and experimental approaches, emphasising throughout the importance of a quantitative knowledge of physical properties in building and analysing models of DNA functioning. For example, the book shows how the relationship between DNA mechanical properties and the sequence specificity of DNA-protein binding can be analyzed quantitatively by using our current knowledge of the physical and structural properties of DNA. Theoretical models and experimental methods in the field are critically considered to enable the reader to engage effectively with the current scientific literature on the physical properties of DNA.

Chemical Biology of the Genome provides a comprehensive overview of essential concepts and principles of genomic and epigenomics dynamics as explored through the lens of chemical biology. Key examples and case studies illustrate chemical biology methods for study and analysis of the genome and epigenome, with an emphasis on relevance to physiological and pathophysiological processes and drug discovery. Authors and international leaders in biochemical studies of the genome, Drs. Siddhartha Roy and Tapas Kundu, adopt an integrated, interdisciplinary approach throughout, demonstrating how fast evolving chemical and mass-scale sequencing tools are increasingly used to interpret biochemical processes of the genome. Later sections discuss chemical modifications of the genome, DNA sequence recognition by proteins and gene regulation, GWAS and EpiGWAS studies, 3D architecture of the genome, and functional genome architecture. In-depth, discovery focused chapters examine intervention in gene networks using SiRNA/ShRNA, miRNA, and anti-miR, small molecule modulation of iPS, drug resistance pathways altered DNA methylation as drug targets, anti-miR as therapeutics, and nanodelivery of drugs.

Birds catch the public imagination like no other group of animals; in addition, birders are perhaps the largest non-professional naturalist community. Genomics and associated bioinformatics have revolutionised daily life in just a few decades. At the same time, this development has facilitated the application of genomics technology to ecological and evolutionary studies, including biodiversity and conservation at all levels. This book reveals how the exciting toolbox of genomics offers new opportunities in all areas of avian biology. It presents contributions from prominent experts at the intersection of avian biology and genomics, and offers an ideal introduction to the world of genomics for students, biologists and bird enthusiasts alike. The book begins with a historical perspective on how genomic technology was adopted by bird ecology and evolution research groups. This led, as the book explains, to a revised understanding of avian evolution, with exciting consequences for biodiversity research as a whole. Lastly, these impacts are illustrated using seminal examples and the latest discoveries from avian biology laboratories around the world.

Pathological Specimens and Genomic Medicine - Emerging Issues surveys various fields and medical disciplines related to the implementation of the new field of genomic medicine. The book includes sections on specimen processing, the effects of tissue fixation and storage impact on downstream molecular assays, image analysis and its role in the pathology workflow, molecular evaluation of samples, and how to present data to clinicians. The book contains examples of cases where these innovative technologies are applied in the real world, and also presents a look in to the future of the field of genomic medicine.

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.

'Species' are central to understanding the origin and dynamics of biological diversity; explaining why lineages split into multiple distinct species is one of the main goals of evolutionary biology. However the existence of species is often taken for granted, and precisely what is meant by species and whether they really exist as a pattern of nature has rarely been modelled or critically tested. This novel book presents a synthetic overview of the evolutionary biology of species, describing what species are, how they form, the consequences of species boundaries and diversity for evolution, and patterns of species accumulation over time. The central thesis is that species represent more than just a unit of taxonomy; they are a model of how diversity is structured as well as how groups of related organisms evolve. The author adopts an intentionally broad approach, stepping back from the details to consider what species constitute, both theoretically and empirically, and how we detect them, drawing on a wealth of examples from microbes to multicellular organisms.

Now in its fifth edition and for the first time available as an electronic product with all entries cross-linked. This very successful long-seller has once again been thoroughly updated and greatly expanded. It now contains over 13,000 entries, and comprehensively covering genomics, transcriptomics, and proteomics. Each entry contains an extensive explanation, including a comprehensive listing of synonyms and acronyms, and all formulas have been redrawn to create a uniform style, while most of the figures are custom designed for this dictionary. The ultimate reference for all terms in the -omics fields.