Genetics (non-medical) Books

Book SynopsisWhile the genomic revolution has quickly led to the deposit of more than 30,000 structures in the protein data bank (PDB), less than one percent of those contributions represent membrane proteins despite the fact that membrane proteins constitute some 20 percent of all proteins. This discrepancy becomes significantly troublesome when it is coupled with the fact that 60 percent of current drugs are based on targeting this group of proteins, a trend that does not seem likely to reverse.Structural Genomics on Membrane Proteins provides an excellent overview on novel research in bioinformatics and modeling on membranes, as well as the latest technological developments being employed in expression, purification, and crystallography to obtain high-resolution structures on membrane proteins. This cutting-edge work also explains the difficulties facing researchers—both technical and ethical—that have slowed the process. Structural Genomics on Membrane Proteins provides researchers with an unprecedented look at the novel technologies that will ultimately allow them to conquer the last frontier in structural biology, leading to accelerated breakthroughs in drug discovery.Table of ContentsIntroduction. Bioinformatics in Membrane Protein Analysis. Prokaryotic Membrane Transport Proteins: Amplified Expression and Purification. Membrane Protein Production Strategies for Structural Genomics. Refolding of Membrane Proteins for Large-scale Production. Crystallization of Membrane Proteins. Signaling through Membrane Proteins. Expression of Membrane Proteins in Yeasts. Expression of Functional Membrane Proteins in the Baculovirus-Insect Cell System: Challenges and Developments. Expression of Membrane Proteins in Mammalian Cells, Solubilization and Purification of Membrane Proteins. Fluorescent Labeling of Membrane Proteins in Living Cells. Membrane Protein NMR. Miniaturization of Structural Biology Technologies: From Expression to Biophysical Analyses. Electron and Atomic Force Microscopy of Reconstituted Membrane Proteins. Structural Genomics on Membrane Proteins. Molecular Modeling of Membrane Proteins. Towards Structural Bases for GPCR Ligand-binding: A Path for Drug Discovery.

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Book SynopsisDemonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs).The book begins with discussions on key HMM and related profile methods, including the HMMER package, the sequence analysis method (SAM), and the PSI-BLAST algorithm. It then provides detailed information about various types of publicly available HMM databases, such as Pfam, PANTHER, COG, and metaSHARK. After outlining ways to develop and use an automated bioinformatics workflow, the author describes how to make custom HMM databases using HMMER, SAM, and PSI-BLAST. He also helps you select the right program to speed up searches. The final chapter explores several applications of HMM methods, including predictions of subcellular localization, posttranslational modification, and binding site. By learning how to effectively use the databases and methods presented in this handbook, you will be able to efficiently identify features of biological interest in your data.Table of ContentsIntroduction to HMMs and Related Profile Methods. Profile HMMs.HMM Methods.HMM Databases.Building an Analytical Pipeline. Building Custom Databases. Speeding Your Searches.Other Uses of HMMs in Bioinformatics. Index.

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Book SynopsisOffering a summary of the current state of knowledge in autism research, Defining Autism looks at the different genetic, neurological and environmental causes of, and contributory factors to autism. It takes a wide-ranging view of developmental and genetic factors, and considers autism's relationship with other conditions such as epilepsy. Shedding light on the vast number of autism-related syndromes which are all too often denied adequate attention, it shows how, whilst autism refers to a single syndrome, it can be understood as many different conditions, with the common factors being biological, rather than behavioral.Table of Contents1. Kanner's Conundrum & Bernie's Biology. 2. The Brain in Autism. 3. The Genetics of Autism. 4. The Roles Environment Plays in Autism Susceptibility. 5. Regression in Autism. 6. Autism & Epilepsy. 7. The Neurodevelopmental Spectrum - Mental Health for the 21st Century. 8. The Broader Autism Phenotype. 9. Autism, Intellectual Disability & Genius. 10. Defining Autism.

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Book SynopsisThis book focuses on the application of behaviour genetic approaches to twin studies, and reviews diagnostic to Attention Deficit Hyperactivity Disorder (ADHD), the relationships between reading, spelling and ADHD, and family and genetic influences on speech and speech and language.Table of Contents1. Introduction 2. Introduction to the genetic analysis of attentional disorders 3. The diagnostic genetics of ADHD symptoms and subtypes 4. The developmental genetics of ADHD 5. Familial and genetic bases of speech and language disorders 6. Comorbidity of reading/spelling disability and ADHD 7. Causes of the overlap among symptoms of ADHD, Oppositional Defiant Disorder, and Conduct Disorder 8. Aetiology of the sex difference in the prevalence of DSM-III-R ADHD: A comparison of two models 9. Single gene studies of ADHD 10. Molecular genetics of ADHD 11. The genetic relationship between ADHD and Gilles de la Tourette syndrome 12. Implications of genetic studies of attention problems for education and intervention 13. Child psychiatry in the era following sequencing the genome

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Book SynopsisInternationally acclaimed science writer Lone Frank swabs up her DNA to provide the first truly intimate account of the new science of consumer-led genomics. She challenges the business mavericks intent on mapping every baby's genome, ponders the consequences of biological fortune-telling, and prods the psychologists who hope to uncover just how much or how little our environment will matter in the new genetic century - a quest made all the more gripping as Frank considers her family's and her own struggles with depression.Trade Review"A probing biological memoir… Refreshing [and] wonderfully poetic." * Publishers Weekly *"Readers will be intrigued by Frank's witty, engaging account of the possibilities of emerging genetic sciences as well as her thoughtful considerations of the philosophical and ethical dimensions of the widespread use of genetic data." * Library Journal *"My Beautiful Genome covers some of the most interesting controversies in biology today, including designer babies, brain imaging, and even whether or not we have free will. It's an enthralling read." * New Scientist *"The huge research effort to understand the complexity of the genome is throwing up new insights into the nature of humanity, as the Danish science writer Lone Frank shows in My Beautiful Genome, her excellent look into the postgenomic world…. Fascinating." * Financial Times *"A fascinating exploration of a subject that is not going to go away -- the influence of our genes on the way we are both medically and socially… Frank's light style and storytelling verve… make this an enjoyable read." Brian Clegg * PopularScience.co.uk *"It’s not often you can wholeheartedly recommend a book… but this is it." * Daily Mail *"A pin-sharp, lively memoir-cum-investigation… Frank's discoveries make for some truly tingling moments." * The Mail on Sunday *"The story of DNA told through one woman's quest to find out if the secret to her depression lies in her genes… A must-read." * BioNews *"Packed with juicy informative nuggets … weird, wonderful and very funny." * Independent on Sunday *“I thoroughly enjoyed this book and would not hesitate to recommend it as both a personal and a book group read.” * New Books *

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Book SynopsisRecent years have seen rapid advances in our understanding of genetic diseases in terms of their molecular origins. The book focuses on DNA mutations which give rise to abnormalities of protein structure and function in genetic disease. Trade Review"There are excellent chapters on many other disorders arising from dysfunctional proteins, which are all good descriptors of molecular and cellular mechanisms of disease." ; "Anyone interested in biology or human medicine would greatly benefit from readiTable of ContentsMutation and Protein Dysfunction; Haemoglobin: Glucose 6-phosphate Dehydrogenase; Glycogen Storage disease due to Phosphorylase Kinase Deficiency; The Retinoblastoma Tumour Suppressor Protein and Cancer; Rhodopsin Mutations in Photoreceptor Degeneration:

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Book SynopsisApoptosis is an essential process in embryonic development and tissue homeostasis, particularly in the prevention of disease. Written from a genetic viewpoint, Genetics of Apoptosis first describes the molecular and cell biology of apoptosis, then examines the process in more detail in several model systems. This volume brings together contributions from internationally renowned authors, and will be a valuable reference to all researchers studying apoptosis.Table of ContentsSECTION I: MOLECULAR BIOLOGY OF APOPTOSIS. Ch 1. Death receptors in apoptosis, R. Ravi and A. Bedi both at The Johns Hopkins University School of Medicine, Baltimore, USA. Ch 2. The role of caspases in apoptosis, S. Kumar and D. Cakouros, both at Hanson Centre for Cancer Research, Adelaide, Australia.Ch 3. Making sense of the Bcl-2 family of apoptosis regulators, L. Haughn and D. Hockenbery both at Fred Hutchinson Cancer Research Center, Seattle, USA. Ch 4. Functional domains in apoptosis proteins, K. Hofmann, Memorec Stoffel GmbH, Cologne, Germany. SECTION II: CELL BIOLOGY OF APOPTOSIS.Ch 5. The role of the endoplasmic reticulum in apoptosis, D.G. Breckenridge and G. C. Shore both at McGill University, Montreal, Canada. Ch 6. Mitochondria in apoptosis induction, B. Antonsson Serono Pharmaceutical Research Institute, Geneva, Switzerland.SECTION III: CELL DEATH IN MODEL SYSTEMS. Ch 7. Regulators and applications of yeast apoptosis, K-U. Fröhlich IMBM, Graz, Austria and Frank Madeo, Universität Tubingen, Germany.Ch 8. Evolution of cell death: caspase mediated mechanisms in early metazoans. non-caspase mechanisms in single- celled eukaryotes, A. Böttger and C. David, University of Munich, Germany.Ch 9. Programme cell death in C. Elegans, A. Gartner, A. Alpi and B. Schumacher all at Max-Planck-Institute for Biochemistry, Martinsried, Germany. Ch 10. Apoptosis in Drosophilia, K. White Massachusetts General Hospital, Charlestown, USA. Ch 11. Cell culture systems in apoptosis, S. Grimm Max-Planck-Institute for Biochemistry, Martinsried, Germany. Ch 12. Caspase-independent cell death, M. Leist and Marja Jäättela H. Lundbeck A/S, Copenhagen-Valby, Copenhagen, Denmark and Denmark Institute for Cancer Biology, Copenhagen, Denmark.

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Book SynopsisThe story of our evolutionary past is told in our genome sequence. Human Gene Evolution deals with the origins of human genes, describes their structure, function, organisation and expression. The text integrates our emerging knowledge of chromosome and genome structure, and discusses the nature of the mutational mechanisms underlying evolutionary change.Trade Review"This book containing a wealth of information, has been written by the most competent author..I have no doubt that this book is masterfully written and excellently organised, it will serve as an encyclopaedic source of information". Human Genetics 200Table of ContentsPart 1. Introduction and Overview. 1. Structure and Function in the Human Genomes. 2. Evolution of the Human Genomes. Part 2. Evolution of Gene Structure. 3. Introns, Exons and Evolution. 4. Genes and Gene Families. 5. Promoters and Transcriptions Factors. 6. Pseudigenes and their Formation. Part 3. Mutational Mechanisms in Evolution. 7. Single Base-pair Substitutions. 8. Contractions and Expansions in Gene Size and Number. 9. Genes and Rearrangements. 10. Molecular Reconstruction of Ancient Genes/Proteins.

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Book SynopsisDistinguished scientists provide an overview of the molecular pathology of human disease. Each chapter provides an analysis of the molecular biological approaches to individual diseases, such as leukaemia, cardiovascular disease and cancer, and includes aTrade Review"..the editor should be complimented for the extent to which the unifying theme of employing genetic knowledge towards therapy has inspired the authors." FEBS LettersTable of ContentsWhat is molecular pathology? D.S. Latchman; Apolipoprotein B and coronary heart disease, J. Scott; Prospects for gene therapy of X-linked immunodeficiency diseases, C. Kinnon; Duchenne muscular dystrophy, S.C. Brown and G. Dickson; Molecular genetics of l

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Book SynopsisPopulation genomics is a rapidly emerging field that has the potential to transform our understanding of how evolutionary forces shape genomic diversity among microbes. There have already been considerable advances in understanding gene flow and spread of adaptive traits, and in linking epidemiology with evolutionary biology. The current challenge is to find unifying evolutionary principles for organisms that display a wide range of reproductive biology – from highly clonal to promiscuous – and for which the vast majority have eluded cultivation. This requires interdisciplinary approaches that incorporate novel computational tools, testing of existing and novel population genetic models, and creative new ways of linking genetic diversity to ecological factors. This pioneering book will discuss the advances made and promises of population genomics in microorganisms, outlining some of the key theoretical and practical challenges for microbial population genomics, including defining and identifying populations, genomics-based reverse ecology and building appropriate tools to understand microbes in a variety of complex environments.Table of ContentsPrefaceI. Concepts and perspectives1. Microbial Population Genomics Perspectives and Promises Martin Polz, MITOm Rajora, Umiversity of New Brunswick2. Population Genomics and Microbial Species Concept Jesse Shapiro, University of Montreal3. Population Genomics and Metagenomics Jill Banfield, University of California BerkeleyVincent Denef, University of Michigan4. Reverse Ecology Martin Polz, MIT5. Genomic and Computational Methods in Microbial Population GenomicsXavier Didelot, Imperial CollegeDaniel Falush, Swansea UniversityEric Alm, MITII. Population Genomics of Bacteria 6. Population Genomics of Plant Pathogenic Bacteria David Guttman, University of TorontoBoris Vinatzer, Virginia Tech7. Population Genomics of Human Pathogenic Bacteria Bill Hanage, Harvard School of Public HealthEd Feil, University of BathNick Croucher, Imperial College8. Population Genomics of Symbiotic Bacteria Nancy Moran, University of Texas, Austin9. Population Genomics of Dairy Industrial Bacteria Paul W. O’Toole, University College, CorkPaola Cremonesi, NRC, Italy10. Population Genomics of Environmental Bacteria and Archaea Rachel Whitaker, University of Illinois, Urbana-ChampaignDaniel Buckley, Cornell UniversityThane Papke, University of ConnecticutFrancisco Rodriguez-Valera, University Miguel HernandezIII. Population Genomics of Fungi11. Population Genomics of Plant Pathogenic Fungi Michael G. Milgroom, Cornell University 12. Population Genomics of Human Pathogenic Fungi Bruce McDonald, ETH Zurich Institute of Integrative Biology13. Population Genomics and Yeast Biodiversity and Evolution Cletus P Kurtzman, USDA ARSGianni Liti, Institute of Genetics, University of Nottingham Mathew R. Goddard, University of Auckland, University of Lincoln14. Population Genomics of Domestication in Yeast Edward J. Louis, Institute of Genetics, University of Nottingham;José Paulo Sampaio, Universidade Nova de Lisboa, Caparica, PortugalIV. Population Genomics of Viruses 15. Population Genomics of Human Viruses Richard A. Neher, Max Planck Institute of Developmental BiologyFrancois Balloux, University of Cambridge16. Population Genomics of Plant Viruses Zhongguo Xiong, University of ArizonaH.C. Prasanna, Indian Institute of Vegetable Research17. Population Genomics of Bacterial Viruses Mathew Sullivan, University of Ohio18. Population Genomics of Insect Viruses Robert S. Cornman, Bee Research Lab, USDA-ARSClement Gilbert, Universite de PoitiersIndex

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Book SynopsisThe first unequivocal success for Gene Therapy was reported in April 2000 for X-SCID patients. Pioneering stem cell/gene therapy clinical trials are the focus of this book. Therapy successes such as the X-SCID trial and improved ADA-SCID ones are presented together with pioneering angio/vasculogenic clinical trials mediated either by transient gene therapy or emerging autologous stem cell transplantation. Highlights also include 1) promises of the breakthrough combination of stem cell- and transient gene-therapy, 2) gene therapy trials for neurodegenerative disease on non-human primates where long-term gene therapy might involve brain stem cells, and 3) the first clinical trial with non-invasive monitoring of therapeutic gene expression as a prospective conclusion. This volume will be of value and interest to researchers in this exciting field.Table of ContentsIntroduction; Stem cell-gene therapy: a breakthrough combination magnified by therapeutic stem cell homing; Inherited disease: stem cells and life-long therapeutic gene expression paradigm; Clinical gene therapy trials for ADA deficiency and other Immunodeficiencies; Regenerative cardiovascular medicine: transient gene therapy and autologous stem cell transplantation 1. Transient angiogenic/vasculogenic gene therapy clinical trials Vascular endothelial growth factor (VEGF) gene therapy for critical limb ischemia 2. Autologous stem cell therapy: clinical trials for cardiovascular Disease 3. Synergyzing stem cell* and gene-therapy for cardiovascular Regeneration; Neurodegenerative disease: long-term gene therapy and neural/stem cell targets; Non-invasive monitoring of clinical gene therapy trials

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Book SynopsisThe farming of deer as an alternative to traditional livestock enterprises is now firmly established and is expanding within several countries of the European Economic Community. However, the successful farming of deer requires the adoption of appropriate management schemes to accommodate the biological requirements of these animals. Much experience has now been gained and it is essential that this information becomes readily available througout the Community. In addition, as the volume of deer farming has increased a number of health problems have become recognised which present features distinct from other domestic ruminants. Although knowledge is still incomplete it would appear that deer may react to certain pathogens in a very different way to other domestic ruminants, presenting new problems of diagnosis and control. The rapid detection of these conditions and development of appropriate control strategies will be essential for the establishment of an economically viable deer farming industry in the Community. Much of the information on the management of farmed deer and their diseases is anecdotal and fragmented and the purpose of this meeting was to accelerate the dissemination of this knowledge between scientists in the Community committed to the development of this area of agricultural industry. The meeting, financed by the Commission of the European Communities from its budget for the Coordination of Agricultural Research in the Community was held in Scotland, on the 10th to 11th December, 1987.Table of ContentsManagement and Nutrition of Farmed.- Session I.- Studies on The Epidemiological Pattern and Control of Nematode Infection in Cerv/Idae.- Epidemiology and Control of Parasitic Diseases in Danish Deer Farms.- Pulmonary Parasites: Pathology and Control.- Cryptosporidiosis in Red Deer.- Conclusions From Session I.- Session II.- General and Economic Aspects of Deer Farming.- Deer Farming in Denmark, With Special Emphasis on The Management and Handling of Fallow Deer.- Diagnostic Examinations of Autopsy Material Submitted From Farmed Deer in Denmark.- Slaughter of Deer.- Conclusions From Session II.- Session III.- Health Aspects of Deer Farming.- Tuberculosis in Farmed Red Deer.- Paratuberculosis.- Experience on A Scottish Experimental Deer Farm.- Serological Survey in Free-Living Red Deer in France.- Ethological Aspects of Deer Farming.- Conclusions From Session II.- Session IV.- Studies on The Epidemiology and Pathogenisis of Alphaherpesviruses From Red Deer and Reindeer.- Herpesvirus Infections of Red Deer and Other Wild Ruminants in France and Belgium.- The Diagnosis of Malignant Catarrhal Fever in Deer.- The Aetiology of Malignant Catarrhal.- Conclusions From Session iv.- Session V.- The Transport of Deer.- Early Nutrition, Growth and Reproductive Performance In Young Scottish Red Deer Hinds, and Their Economic Significance in Commercial Herds.- Farm Tour of Macaulay Land Use Research Station At Glensaugh: A Summary of The Main Features.- Conclusions From Session V.- Final Conclusion.- List of Participants.

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Book SynopsisThis book presents advances in the interdisciplinary field of microRNA research of human cancers from a unique perspective of quantitative sciences: bioinformatics, computational and systems biology, and mathematical modeling. This volume contains adaptations and critical reviews of state-of-the-art studies, ranging from technological advances in microRNA detection and profiling, clinically oriented microRNA profiling in several human cancers, to a systems biology analysis of global patterns of microRNA regulation of signaling and metabolic pathways. It discusses interactions with transcription factor regulatory networks and mathematical modeling of microRNA regulation.Trade Review"Topics on microRNAs have taken scientists by storm in the last seven years. Today more than 5500 publications related to microRNAs can be found in PubMed. Do we really need another book for readers already saturated with this topic? The answer is a definite yes. Yuriy Gusev has wisely put together a fine book linking various aspects of the study of microRNAs starting with profiling of microRNoma, the functional study of pathway networks involving miRNAs as well as evolutionary models of microRNoma evolution or mathematical models of posttranscriptional regulation of microRNAs. Readers will find the book different compared with others already published. One thing is certain: the curiosity of the readers will increase with every page turned."—George A. Calin, MD Anderson Cancer CenterTable of ContentsMeasurement and Interpretation of MiRNA Expression Profiles. MicroRNA Expression Analysis by LNA Enhanced Microarrays. Analysis and QC for Real-Time QPCR Arrays of Human MicroRNAs. Massively Parallel MicroRNA Profiling in the Haematologic Malignancies. Who Dunit? MicroRNAs Involved in Prostate Cancer. Intronic MicroRNA. Creation, Evolution and Regulation. Mirome Architecture and Genomic Instability. Interconnection of MicroRNA and Transcription Factor-Mediated Regulatory Networks. Analysis of MicroRNA Profiling Data with Systems Biology Tools. Mathematical and Computational Modeling of Post-Transcriptional Gene Regulation by MicroRNAs.

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Book SynopsisThis book covers almost all fields of cancer genetics and genomics for personalized medicine. Targeted therapy, or precision medicine, or personalized medicine is becoming a standard treatment for many diseases, including cancer. However, how much do we know about the personalized medicine approach? This lucid book helps undergraduate and graduate students, professional researchers, and clinicians to better understand the key concept of personalized medicine.The most up-to-date topics on personalized medicine in this book cover the recent trends in and updates on lung, gastric, liver, breast, and other types of cancers. Circulating tumor cell, cell-free circulating DNA, and microRNAs are discussed as new diagnostic and prognostic markers for cancer. The avatar mouse model is also discussed for maximizing treatment efficacy and prognosis prediction, and so is microenvironment as a drug resistance mechanism. With classical and new pathological approaches, the book provides a systemic overview of personalized immunotherapies and hyperthermic intraperitoneal chemotherapy, followed by new emerging fields of hereditary cancer, thereby equipping readers to eventually contribute in developing more advanced tools and therapies for curing cancer.Trade Review"Likely as the recent Cancer Moonshot Initiative highlights, this book well describes the importance of genetics/genomics-based personalized therapies to improve cancer treatments. This field is growing rapidly, and it is certain that many scientists should obtain professional knowledge of ‘cancer precision medicine’ to cure more cancer patients."—Prof. Yusuke Nakamura, University of Chicago, USA"At a time when an explosive increase in data has combined with rapidly evolving treatment paradigms, it has become particularly challenging for modern clinicians and medical researchers alike to put these advances in knowledge and practice into a proper context. It is in light of this predicament that this new volume edited by Dr. Il-Jin Kim provides a much-needed organization and harmonic understanding to the cacophony of information regarding the elusive realm of precision medicine. Covering an exhaustive array of topics ranging from the basic science of tumor modeling to the biology of tumor microenvironments to the horizon of cancer immunotherapy and advances for specific cancer types, this clearly written and very readable compilation provides a solid foundation for comprehending the rapidly advancing dawn of a truly new, personalized, precision approach to the treatment and, hopefully, the cure of cancer."—Prof. Michael J. Mann, University of California, San FranciscoTable of ContentsPersonalized Medicine for Cancer: Introduction and Overview of the Book. Personalized Medicine in Lung Cancer. Genome-Based Personalized Medicine in Liver Cancer. Applications of Circulating DNA Analysis in Personalized Medicine. Circulating Tumor Cells and Personalized Medicine. Mouse Models in Personalized Cancer Medicine. Tumor Microenvironment, Therapeutic Resistance, and Personalized Medicine. Personalized Immune Therapy. Hyperthermic Intraperitoneal Chemotherapy (HIPEC) for Peritoneal Malignancies. Personalized Medicine in Hereditary Cancer Syndromes. Pathology in the Era of Personalized Medicine. MicroRNAs in Human Cancers. Pharmacogenomics of Tamoxifen.

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Book SynopsisFor the nonscientist, the claims and counterclaims are dizzying - what does it really mean to understand the genome? In this title, the authors offer an answer to this question and many more in a clear account of the genomic revolution and its promise.

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Book SynopsisTechnology evolves at a dazzling speed, particularly in the field of genetic engineering. But the public has not had much to say about the advancements in human genetics. This text asks why and explores the social forces that have led to the thinning out of public debate over genetic engineering.

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Book SynopsisTechnology evolves at a dazzling speed, particularly in the field of genetic engineering. But the public has not had much to say about the advancements in human genetics. This text asks why and explores the social forces that have led to the thinning out of public debate over genetic engineering.

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Book SynopsisThe Lysenko affair was perhaps the most bizarre chapter in the history of modern science. For thirty years, until 1965, Soviet genetics was dominated by a fanatical agronomist who achieved dictatorial power over genetics and plant science as well as agronomy. A standard source both for Soviet specialists and for sociologists of science.American Journal of Sociology Joravsky has produced . . . the most detailed and authoritative treatment of Lysenko and his view on genetics.New York Times Book Review

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Book SynopsisArgues that the fly was essentially a laboratory tool whose productivity opened many new lines of genetic research. Kohler also explores the moral economy of the Drosophilists. By closely examining their culture and customs, he reveals features of how experimental scientists do their work.

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Book SynopsisDNA profiling is often heralded as unassailable criminal evidence, a veritable "truth machine" that can overturn convictions based on eyewitness testimony, confessions, and other forms of forensic evidence. This book traces the controversial history of DNA fingerprinting by looking at court cases in the US and UK from the mid-1980s onwards.Trade Review"I could not put it down. This is a must-read for anyone interested in the history of science." (Times Higher Education) "An interesting read.... It illustrates that the controversy of DNA profiling is rooted not in the science, but mainly in the restrictions of the adversarial system." (Nature)"

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Book SynopsisProvine's thorough and thoroughly admirable examination of Wright's life and influence, which is accompanied by a very useful collection of Wright's papers on evolution, is the best we have for any recent figure in evolutionary biology.Joe Felsenstein, NatureIn Sewall Wright and Evolutionary Biology . . . Provine has produced an intellectual biography which serves to chart in considerable detail both the life and work of one man and the history of evolutionary theory in the middle half of this century. Provine is admirably suited to his task. . . . The resulting book is clearly a labour of love which will be of great interest to those who have a mature interest in the history of evolutionary theory.-John Durant, ;ITimes Higher Education Supplement;X

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Book SynopsisBy focusing on chromosomes, Heredity under the Microscope offers a new history of postwar human genetics. Today chromosomes are understood as macromolecular assemblies and are analyzed with a variety of molecular techniques. Yet for much of the twentieth century, researchers studied chromosomes by looking through a microscope. Unlike any other technique, chromosome analysis offered a direct glimpse of the complete human genome, opening up seemingly endless possibilities for observation and intervention. Critics, however, countered that visual evidence was not enough and pointed to the need to understand the molecular mechanisms. Telling this history in full for the first time, Soraya de Chadarevian argues that the often bewildering variety of observations made under the microscope were central to the study of human genetics. Making space for microscope-based practices alongside molecular approaches, de Chadarevian analyzes the close connections between genetics and an array of scieTrade Review"The chromosome is at least as powerful an icon of heredity as DNA but so far has not held a central place in the historiography of twentieth-century life sciences. [Heredity under the Microscope] sets this record straight by directing its lense on the cytogenetic study of human chromosomes and the many contexts in which chromosome images came to matter. It opens fascinating new perspectives on the 'century of the gene' that go far beyond the earlier focus on the history of classical and molecular genetics." * British Society for the History of Science *"Heredity under the Microscope presents an accurate and sweeping view of the role that cytogenetics played, not only in the history of science after World War II but also as the means by which the current molecular view of the human chromosome was achieved. . . . [de Chadarevian's] is the first story of human cytogenetics told from the historical point of view. . . . The discussions are broad and comprehensive, with careful attention to details. With a few exceptions, they present all the main events occurring in the era of cytogenetics. . . . What is most remarkable to this reviewer, is that the longest section of the book is the notes (67 pp.). This section documents the multitude of sources for what is written in the five chapters. De Chadarevian spoke with a horde of researchers and listened to a great number of interviews with relevant cytogeneticists, and refers to an enormous amount of printed material. Everything in the five chapters is more than adequately supported, and the notes are a delight to read. . . . She deserves our thanks for putting together such a comprehensive survey of human cytogenetics." * FASEB Journal *"A fascinating read on the development of postwar human genetics. . . . This highly readable and impressive book demonstrates the overlapping concerns of science, medicine, law, and policy in the atomic age. De Chadarevian argues that the earlier microscopic research was central to the approach to studying human genetics. This book is a richly sourced survey of human cytogenetics and would be useful for undergraduate teaching." * Journal of the History of Ideas blog * "De Chadarevian's book fully meets its main goal: that of reintroducing chromosomes and cytogenetics into a still simplistic narrative of the history of the understanding of human heredity that traverses the twentieth century. . . . It is a most welcome development in the history of biology." * H-Sci-Med-Tech *"Images of the human chromosomes have enchanted scientists, inspired artists, and become symbols of human difference and pathology. In her engaging account, Soraya de Chadarevian deftly explores the visualization of these cellular 'colored bodies' and demonstrates their critical role in modern biology. The 'molecular revolution,' she suggests, was also a chromosomal revolution." -- M. Susan Lindee, University of Pennsylvania"De Chadarevian shows how much we have missed by looking at the history of biology since World War II as largely a history of how molecular geneticists cracked the genetic code. By focusing the lens on chromosomes, and their uses inside and outside the laboratory, her thorough yet elegant account exposes unexpected continuities, both with the eugenic past of heredity research and its genomic present." -- Staffan Müller-Wille, coauthor of The Gene: From Genetics to Postgenomics"Here we see most vividly how researchers debated the meanings and validity of visual evidence. Heredity Under the Microscope is a remarkable account of what was at stake in visualizing chromosomes." * Journal of the History of Biology *"The book is interesting, informative, and meticulously researched—a must-read for scientists and science studies scholars interested in the history of twentieth-century genetics. Chadarevian’s writing style is accessible and engaging, which also makes the book suitable for nonacademics. The argument, spread over five chapters, is nuanced and compelling." * Isis *Table of ContentsIntroduction 1. Radiation and Mutation 2. Chromosomes and the Clinic 3. X and Y 4. Scaling Up 5. Of Chromosomes and DNA Epilogue Acknowledgments Note on Sources Notes Bibliography Index

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Book Synopsis"Can a country claim to have its own genetic material?" Rabinow demonstrates that the answer to this question is far from simple. The work is cross-disciplinary, marrying news events, science and philosophical analysis to see how past events influenced current thinking.Trade Review"Can a country claim to have its own genetic material?... Rabinow demonstrates that the answer to this question is far from simple.... The wide variety of subjects that he treats guarantees the interest of a large group of readers: students, researchers, scientific managers from academic institutions as well as from industry, politicians, and interested laymen." - Wilhelm Ansorge, Science "A fast-paced story of personalities and research organizations, interspersed with chapters delving into French history and politics to analyse how past events influenced current thinking and decision making.... The author has done an excellent job of marrying presentation of 'news events,' science, and philosophical analysis, and a book such as this is valuable for its cross-disciplinary insights." - Clare Robinson, Endeavour "Rabinow's book introduces a dramatis personae that could fill the pages of a bio-tech corporate thriller." - Gary Lachman, Times Literary Supplement

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Book Synopsis"Wright's views about population genetics and evolution are so fundamental and so comprehensive that every serious student must examine these books firsthand. . . . Publication of this treatise is a major event in evolutionary biology."-Daniel L. Hartl, "BioScience"

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Book Synopsis"Wright's views about population genetics and evolution are so fundamental and so comprehensive that every serious student must examine these books firsthand. . . . Publication of this treatise is a major event in evolutionary biology."-Daniel L. Hartl, "BioScience"

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Book SynopsisWright's views about population genetics and evolution are so fundamental and so comprehensive that every serious student must examine these books firsthand. . . . Publication of this treatise is a major event in evolutionary biology.-Daniel L. Hartl, BioScience

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Book Synopsis"Wright's views about population genetics and evolution are so fundamental and so comprehensive that every serious student must examine these books firsthand. . . . Publication of this treatise is a major event in evolutionary biology."-Daniel L. Hartl, "BioScience"

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Book SynopsisA discussion of the life and wok of Theodosius Dobzhansky and an assessment of the current research that has the origins in his findings and contributions.

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Book SynopsisCovers various aspects of contemporary biology including gene therapy, the Human Genome Project, DNA testing, and genetic engineering, and fundamental concepts. This book discusses classical and molecular genetics, quantitative and population genetics including cloning and genetic diseases, and the many applications of genetics to the world.Trade ReviewThe book covers much of the material in a high school textbook...but Omoto and Lurquin write in a way that makes things relevan to any interested adult. I think this is an excellent book that will be of great value in any public library collection...also in university and college libraries. -- Margaret Henderson E-Stream Very useful introduction to genes and genetic applications...Recommended. General readers. -- P. M. Watt Choice As a society we are asked to make informed decisions on complex issues such as stem cell research and the labeling of our food based on its level of genetic modification. We have a lot of homework to do, and this book is a good start. -- Stephen Jones Washington State MagazineTable of ContentsPreface: Why Is Genetics Important? 1. What Are Genes? Try This at Home: Extract DNA from Vegetables in Your Kitchen 2. Inheritance of Single-Gene Traits 3. Mendelian Traits in Humans Try This at Home: Pedigree Game 4. From Genes to Phenotype Try This at Home: DNA Replication, Transcription, and Translation Game 5. Using Bacteria as Protein Factories 6. Genetically Modified Plants 7. When Things Go Wrong 8. Mutagens, Teratogens, and Human Reproduction 9. Linkage and Mapping: Gene Discovery Try This at Home: Independent Assortment of Chromosomes and the Making of a Unique Individual Try This at Home: Explore Genetics Databases 10. Genetics of Populations and Genetic Testing 11. Survival of the Fittest? Try This at Home: Demonstrations of the Effects of Small Population Size 12. Nature Versus Nurture 13. Genetically Modified Animals and the Applications of Gene Technology for Humans Appendix A. Internet Resources Appendix B. Glossary of Scientific Names of Organisms Appendix C. Glossary of Human Genetic Diseases Appendix D. Glossary of Terms

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Book SynopsisThe renowned cognitive scientist Philip Lieberman demonstrates that there is no better guide to the world’s living—and still evolving—things than Darwin and that the phenomena he observed are still being explored at the frontiers of science. Lieberman relates the insights that led to groundbreaking discoveries in both Darwin’s time and our own.Trade ReviewLieberman's The Theory That Changed Everything takes Darwin's theory out of academia's dusty lecture halls, returning it to where it began—with a young person curious about the world around them. Engagingly, Lieberman explains how Darwin developed his theories and why those theories matter today. The final chapter, 'What would Darwin Think About…' will energize high school and college biology classes for years to come. -- John J. Shea, Stony Brook UniversityAn awesome accompanying book for anyone who reads On the Origin of Species. -- Rob DeSalle, curator of entomology at the American Museum of Natural HistoryStrikes a balance between the historical context in which Darwin made his remarkable contributions to science and contemporary scientific work. -- Christina Behme, Brandon UniversityLieberman clearly explains complex issues such as epigenetic mechanisms...engage[s] readers interested in the evolution of humans. * Publishers Weekly *An enjoyable and well-written book for those who appreciate Species and its impact on our lives today. * Library Journal *Written with an infectious delight in the way that Darwin’s thinking continues to guide scientific inquiry across disciplines. * Los Angeles Review of Books *Big brains, language, and almost infinite cultural flexibility are quintessential human features. This lucidly written little gem from a leader in the study of human language evolution uses language as a case study to explain how a Darwinian approach is the only way to understand the evolution of human brains and behavior. Written in a very personal voice, it provides a fully accessible synthesis of research in fields as diverse as linguistics, functional genomics, psychology, neuroanatomy, and evolutionary theory. It makes excellent supplementary reading for a diverse range of courses, from evolutionary biology to anthropology and linguistics. -- David Pilbeam, Harvard UniversitySuited for general readers and students interested in the sciences. * Choice *Table of ContentsPrefaceAcknowledgments1. Strawberries2. No Cats, No Flowers3. Grandfather Erasmus4. Crafting the Human Brain5. What Would Darwin Think About . . .NotesBibliographyIndex

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Book SynopsisThis work considers the complex, far reaching issues surrounding the Human Genome Project - an international scientific enterprise aimed at attaining a complete sequence and locator map of the human genetic structure by the year 2005 - offering the elimination of genetic abnormalities and diseases.Trade Review“The Human Genome Project seeks to pinpoint the genetic basis of virtually any human trait, but it also offers ethical and theological issues which will change human perspective and meaning. Contributors discuss the project’s background, issues, and impact with an eye to revealing the many underlying social changes which will occur as a result of the project.” —Bookwatch“Anyone who is interested in human genetic research will find that this book offers a relevant and interesting analysis of the full range of ethical, philosophical and theological implications of such work. ...[T]he contents of this book are of great importance....” —Addiction Biology“Sloan is absolutely correct in helping his readers see implications well beyond the ethics of medical genetics.… These scientific, historical and philosophical contributions make this volume an invaluable and unique contribution to the growing literature that is exploring the moral and ethical implications of the Human Genome Project....” —National Catholic Bioethics Center“... an innovative contribution to the conversation about human genetics....This is a tremendous book: a unique addition to the scholarly discussion and suited to upper division and graduate biology and humanities courses that seek interdisciplinary inquiry into the implications of human genetic knowledge.” —Religious Studies Review“A fruitful text, the reader is bound to find several essays that meet his or her needs and interests.” —Metapsychology

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Book SynopsisWho are the Jews? Where did they come from? What is the connection between an ancient Jewish priest in Jerusalem and today's Israeli sunbather on the beaches of Tel Aviv? This book answers these questions.

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Book SynopsisThe untold story of the rise of a new scientific field, ancient DNA research, and how Jurassic Park and popular media influenced its developmentTrade Review“Fun and thought-provoking. . . . Jones builds a wry, often wise, study of science as a very human endeavor. She makes a powerful case that ancient-DNA research feeds off media attention as much as the media feeds off it.”—Victoria L. Herridge, Nature“Elizabeth D. Jones reveals ancient DNA to be a field of scientific research driven by two forms of contamination—DNA from living organisms and public celebration of the idea of old DNA. She demonstrates the often-underappreciated power of celebrity in driving modern science.”—Beth Shapiro, author of How to Clone a Mammoth and Life As We Made It“A fascinating narrative history of ancient DNA. . . . Elizabeth D. Jones’s insightful arguments and riveting storytelling make this book a pleasure to read.”—Caitlin D. Wylie, author of Preparing Dinosaurs: The Work behind the Scenes“Ancient DNA is a clearly written, fascinating portrait of the development of a high-profile scientific field that was shaped by popular beliefs about DNA and dinosaurs—a wild story of lab results timed to coincide with movie premieres.”—Susan Lindee, Janice and Julian Bers Professor, University of Pennsylvania“Groundbreaking. This book not only explains in careful and clear detail the gradual development of ancient DNA techniques, together with the successes, but also interweaves skillfully the story of how the movie Jurassic Park influenced the science. If you read but one book this year on the making of science, it should be this one.”—Michael Ruse, author of Darwinism as Religion: What Literature Tells Us about Evolution“Ancient DNA fills a major gap in the history of a relatively new science, and in the intersection of modern culture and science communication and practice. I expect it will become very influential and likely will attract the same kind of media attention that its subject generates.”—Dennis O’Rourke, Foundation Distinguished Professor of Anthropology, University of Kansas “Elizabeth Jones’s original contribution to science communication studies richly conceptualizes a novel type of scientific field—a ‘celebrity science,’ one that evolved within the dynamics of publicity, journalism, and popular culture.”—Declan Fahy, author of The New Celebrity Scientists: Out of the Lab and into the Limelight

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Book SynopsisAn exploration of the ways the immune system, epigenetics, affect regulation and attachment intersect in mental health.Trade Review"I did not find this book an easy read but it is a rich and rewarding one. It has both impacted on my understanding of myself and on how I work with others. I cannot recommend it highly enough." -- Transformations Journal

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Book SynopsisBioinformatics is an extremely popular and rapidly growing new discipline that has evolved around the use of algorithmic and computer techniques to analyze large datasets being generated in genomics and related fields. Bioinformatics: Genomics and Post-Genomics provides a clear and concise introduction to the popular new science of bioinformatics.Trade Review"...provides a clear and concise introduction to the popular new science of bioinformatics." (Bioautomation, volume 7)Table of ContentsChapter 1. Genome sequencing. 1.1 Automatic sequencing. 1.2 Sequencing strategies. 1.3 Fragmentation strategies. 1.4 Sequence assembly. 1.5 Filling gaps. 1.6 Obstacles to reconstruction. 1.7 Utilizing a complementary ‘large’ clone library. 1.8 The first large-scale sequencing project: The Haemophilus influenzae genome. 1.9 cDNA and EST. Chapter 2. Sequence comparisons. 2.1 Introduction: Comparison as a sequence prediction method. 2.2 A sample molecule: the human and rosterone receptor. 2.3 Sequence homologies - functional homologies. 2.4 Comparison matrices. 2.5 The problem of insertions and deletions. 2.6 Optimal alignment: the dynamic programming method. 2.7 Fast heuristic methods. 2.8 Sensitivity, specificity, and confidence level. 2.9 Multiple alignments. Chapter 3. Comparative genomics. 3.1 General properties of genomes. 3.2 Genome comparisons. 3.3 Gene evolution and phylogeny: applications to annotation. Chapter 4. Genetic information and biological sequences. 4.1 Introduction: Coding levels. 4.2 Genes and the genetic code. 4.3 Expression signals. 4.4 Specific sites. 4.5 Sites located on DNA. 4.6 Sites present on RNA. 4.7 Pattern detection methods. Chapter 5. Statistics and sequences. 5.1 Introduction. 5.2 Nucleotide base and amino acid distribution. 5.3 The biological basis of codon bias. 5.4 Using statistical bias for prediction. 5.5 Modeling DNA sequences. 5.6 Complex models. 5.7 Sequencing errors and hidden Markov models. 5.8 Hidden Markov processes: a general sequence analysis tool. 5.9 The search for genes - a difficult art. Chapter 6. Structure prediction. 6.1 The structure of RNA. 6.2 Properties of the RNA molecule. 6.3 Secondary RNA structures. 6.4 Thermodynamic stability of RNA structures. 6.5 Finding the most stable structure. 6.6 Validation of predicted secondary structures. 6.7 Using chemical and enzymatic probing to analyze folding. 6.8 Long-distance interactions and three-dimensional structure prediction. 6.9 Protein structure. 6.10 Secondary structure prediction. 6.11 Three-dimensional modeling based on homologous protein structure. 6.12 Predicting folding. Chapter 7. Transcriptome and proteome: macromolecular networks. 7.1 Introduction. 7.2 Post-genomic methods. 7.3 Macromolecular networks. 7.4 Topology of macromolecular networks. 7.5 Modularity and dynamics of macromolecular networks. 7.6 Inference of regulatory networks. Chapter 8. Simulation of Biological Processes in the Genome Context. 8.1 Types of simulations. 8.2 Prediction and explanation. 8.3 Simulation of molecular networks. 8.4 Generic post-genomic simulators. Index.

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Book SynopsisPraise from the reviews: Without reservation, I endorse this text as the best resource I''ve encountered that neatly introduces and summarizes many points I''ve learned through years of experience. The gems of truth found in this book will serve well those who wish to apply bioinformatics in their daily work, as well as help them advise others in this capacity. CIRCGENETICS This book may really help to get geneticists and bioinformaticians on ''speaking-terms''... contains some essential reading for almost any person working in the field of molecular genetics. EUROPEAN JOURNAL OF HUMAN GENETICS ... an excellent resource... this book should ensure that any researcher''s skill base is maintained. GENETICAL RESEARCH one of the best available and most accessible texts on bioinformatics and genetics in the postgenome age The writing is clear, with succinct subsections within each chapter.Without reservation, I endorse this textTrade Review"…provides insights into various areas…" (Books-On-Line)Table of ContentsForeword. Preface. Contributors. Glossary. SECTION I AN INTRODUCTION TO BIOINFORMATICS FOR THE GENETICIST. 1 Bioinformatics challenges for the geneticist (Michael R. Barnes). 1.1 Introduction. 1.2 The role of bioinformatics in genetics research. 1.3 Genetics in the post-genome era. 1.4 Conclusions. References. 2 Managing and manipulating genetic data (Karl W. Broman and Simon C. Heath). 2.1 Introduction. 2.2 Basic principles. 2.3 Data entry and storage. 2.4 Data manipulation. 2.5 Examples of code. 2.6 Resources. 2.7 Summary. References. SECTION II MASTERING GENES, GENOMES AND GENETIC VARIATION DATA. 3 The HapMap – A haplotype map of the human genome (Ellen M. Brown and Bryan J. Barratt). 3.1 Introduction. 3.2 Accessing the data. 3.3 Application of HapMap data in association studies. 3.4 Future Perspectives. References. 4 Assembling a view of the human genome (Colin A. M. Semple). 4.1 Introduction. 4.2 Genomic sequence assembly. 4.3 Annotation from a distance: the generalities. 4.4 Annotation up close and personal: the specifics. 4.5 Annotation: the next generation. References. 5 Finding, delineating and analysing genes (Christopher Southan and Michael R. Barnes). 5.1 Introduction. 5.2 Why learn to predict and analyse genes in the complete genome era? 5.3 The evidence cascade for gene products. 5.4 Dealing with the complexities of gene models. 5.5 Locating known genes in the human genome. 5.6 Genome portal inspection. 5.7 Analysing novel genes. 5.8 Conclusions and prospects. References. 6 Comparative genomics (Martin S. Taylor and Richard R. Copley). 6.1 Introduction. 6.2 The Genomic landscape. 6.3 Concepts. 6.4 Practicalities. 6.5 Technology. 6.6 Applications. 6.7 Challenges and future directions. 6.8 Conclusion. References. SECTION III BIOINFORMATICS FOR GENETIC STUDY DESIGN AND ANALYSIS. 7 Identifying mutations in single gene disorders (David P. Kelsell, Diana Blaydon and Charles A. Mein). 7.1 Introduction. 7.2 Clinical Ascertainment. 7.3 Genome-wide mapping of monogenic diseases. 7.4 The nature of mutation in monogenic diseases. 7.5 Considering epigenetic effects in mendelian traits. 7.6 Summary. References. 8 From Genome Scan Culprit Gene (Ian C. Gray). 8.1 Introduction. 8.2 Theoretical and practical considerations. 8.3 A stepwise approach to locus refinement and candidate gene identification. 8.4 Conclusion. 8.5 A list of the software tools and Web links mentioned in this chapter. References. 9 Integrating Genetics, Genomics and Epigenomics to Identify. Disease Genes (Michael R. Barnes). 9.1 Introduction. 9.2 Dealing with the (draft) human genome sequence. 9.3 Progressing loci of interest with genomic information. 9.4 In silico characterization of the IBD5 locus – a case study. 9.5 Drawing together biological rationale – hypothesis building. 9.6 Identification of potentially functional polymorphisms. 9.7 Conclusions. References. 10 Tools for statistical genetics (Aruna Bansal, Charlotte Vignal and Ralph McGinnis). 10.1 Introduction. 10.2 Linkage analysis. 10.3 Association analysis. 10.4 Linkage disequilibrium. 10.5 Quantitative trait locus (QTL) mapping in experimental crosses. 10.6 Closing remarks. References. SECTION IV MOVING FROM ASSOCIATED GENES TO DISEASE ALLELES. 11 Predictive functional analysis of polymorphisms: An overview (Mary Plumpton and Michael R. Barnes). 11.1 Introduction. 11.2 Principles of predictive functional analysis of polymorphisms. 11.3 The anatomy of promoter regions and regulatory elements. 11.4 The anatomy of genes. 11.5 Pseudogenes and regulatory mRNA. 11.6 Analysis of novel regulatory elements and motifs in. nucleotide sequences. 11.7 Functional analysis of non-synonymous coding polymorphisms. 11.8 Integrated tools for functional analysis of genetic variation. 11.9 A note of caution on the prioritization of in silico predictions for. further laboratory investigation. 11.10 Conclusions. References. 12 Functional in silico analysis of gene regulatory polymorphism (Chaolin Zhang, Xiaoyue Zhao, Michael Q. Zhang). 12.1 Introduction. 12.2 Predicting regulatory regions. 12.3 Modelling and predicting transcription factor-binding sites. 12.4 Predicting regulatory elements for splicing regulation. 12.5 Evaluating the functional importance of. regulatory polymorphisms. References. 13 Amino-acid properties and consequences of substitutions (Matthew J. Betts and Robert B. Russell). 13.1 Introduction. 13.2 Protein features relevant to amino-acid behaviour. 13.3 Amino-acid classifications. 13.4 Properties of the amino acids. 13.5 Amino-acid quick reference. 13.6 Studies of how mutations affect function. 13.7 A summary of the thought process. References. 14 Non-coding RNA bioinformatics (James Brown, Steve Deharo, Barry Dancis, Michael R. Barnes and Philippe Sanseau). 14.1 Introduction. 14.2 The non-coding (nc) RNA universe. 14.3 Computational analysis of ncRNA. 14.4 ncRNA variation in disease. 14.5 Assessing the impact of variation in ncRNA. 14.6 Data resources to support small ncRNA analysis. 14.7 Conclusions. References. SECTION V ANALYSIS AT THE GENETIC AND GENOMIC DATA INTERFACE. 15 What are microarrays? (Catherine A. Ball and Gavin Sherlock). 15.1 Introduction. 15.2 Principles of the application of microarray technology. 15.3 Complementary approaches to microarray analysis. 15.4 Differences between data repository and research database. 15.5 Descriptions of freely available research database packages. References. 16 Combining quantitative trait and gene-expression data (Elissa J. Chesler). 16.1 Introduction: the genetic regulation of endophenotypes. 16.2 Transcript abundance as a complex phenotype. 16.3 Scaling up genetic analysis and mapping models for microarrays. 16.4 Genetic correlation analysis. 16.5 Systems genetic analysis. 16.6 Using expression QTLs to identify candidate genes for the regulation of complex phenotypes. 16.7 Conclusions. References. 17 Bioinformatics and cancer genetics (Joel Greshock). 17.1 Introduction. 17.2 Cancer genomes. 17.3 Approaches to studying cancer genetics. 17.4 General resources for cancer genetics. 17.5 Cancer genes and mutations. 17.6 Copy number alterations in cancer. 17.7 Loss of heterozygosity in cancer. 17.8 Gene-expression data in cancer. 17.9 Multiplatform gene target identification. 17.10 The epigenetics of cancer. 17.11 Tumour modelling. 17.12 Conclusions. References. 18 Needle in a haystack? dealing with 500 SNP genome scans (Michael R. Barnes and Paul S. Derwent). 18.1 Introduction. 18.2 Genome scan analysis issues. 18.3 Ultra-high-density genome-scanning technologies. 18.4 Bioinformatics for genome scan analysis. 18.5 Conclusions. References. 19 A bioinformatics perspective on genetics in drug discovery and development (Christopher D. Southan, Magnus Ulvsb¨ack and Michael R. Barnes). 19.1 Introduction. 19.2 Target genetics. 19.3 Pharmacogenetics (PGx). 19.4 Conclusions: toward ‘personalized medicine’. References. Appendix I. Appendix II. Index.

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Book SynopsisStatistical methodology plays a key role in ensuring that DNA evidence is collected, interpreted, analyzed and presented correctly. With the recent advances in computer technology, this methodology is more complex than ever before. There are a growing number of books in the area but none are devoted to the computational analysis of evidence. This book presents the methodology of statistical DNA forensics with an emphasis on the use of computational techniques to analyze and interpret forensic evidence.Table of ContentsPreface. List of figures. List of tables. 1. Introduction. 1.1 Statistics, forensic science and the law. 1.2 The use of statistics in forensic DNA. 1.3 Genetic basis of DNA profiling and typing technology. 1.3.1 Genetic basis. 1.3.2 Typing technology. 1.4 About the book. 2. Probability and statistics. 2.1 Probability. 2.2 Dependent events and conditional probability. 2.3 Law of total probability. 2.4 Bayes’ Theorem. 2.5 Binomial probability distribution. 2.6 Multinomial distribution. 2.7 Poisson distribution. 2.8 Normal distribution. 2.9 Likelihood ratio. 2.10 Statistical inference. 2.10.1 Test of hypothesis. 2.10.2 Estimation and testing. 2.11 Problems. 3. Population genetics. 3.1 Hardy-Weinberg equilibrium. 3.2 Test for Hardy-Weinberg equilibrium. 3.2.1 Observed and expected heterozygosities. 3.2.2 Chi-square test. 3.2.3 Fisher’s exact test. 3.2.4 Computer software. 3.3 Other statistics for analysis of a population database. 3.3.1 Linkage equilibrium. 3.3.2 Power of discrimination. 3.4 DNA profiling. 3.5 Subpopulation models. 3.6 Relatives. 3.7 Problems. 4. Parentage testing. 4.1 Standard trio. 4.1.1 Paternity index. 4.1.2 An example. 4.1.3 Posterior odds and probability of paternity. 4.2 Paternity computer software. 4.2.1 Steps in running the software. 4.2.2 The software to deal with an incest case. 4.3 A relative of the alleged father is the true father. 4.4 Alleged father unavailable but his relative is. 4.5 Motherless case. 4.5.1 Paternity index. 4.5.2 Computer software and example. 4.6 Motherless case: relatives involved. 4.6.1 A relative of the alleged father is the true father. 4.6.2 Alleged father unavailable but his relative is. 4.6.3 Computer software and example. 4.7 Determination of both parents. 4.8 Probability of excluding a random man from paternity. 4.9 Power of exclusion. 4.9.1 A random man case. 4.9.2 A relative case. 4.9.3 An elder brother case: mother available. 4.10 Other issues. 4.10.1 Reverse parentage. 4.10.2 Mutation. 4.11 Problems. 5. Testing for kinship. 5.1 Kinship testing of any two persons: HWE. 5.2 Computer software. 5.3 Kinship testing of two persons: subdivided populations. 5.3.1 Joint genotype probability. 5.3.2 Relatives involved. 5.4 Examples with software. 5.5 Three persons situation: HWE. 5.6 Computer software and example. 5.7 Three persons situation: subdivided populations. 5.7.1 Standard trio. 5.7.2 A relative of the alleged father is the true father. 5.7.3 Alleged father unavailable but his relative is. 5.7.4 Example. 5.7.5 General method and computer software. 5.8 Complex kinship determinations: method and software. 5.8.1 EasyPA_In_1_Minute software and the method. 5.8.2 EasyPAnt_In_1_Minute. 5.8.3 EasyIN_In_1_Minute. 5.8.4 EasyMISS_In_1_Minute. 5.8.5 Other considerations: probability of paternity and mutation. 5.9 Problems. 6. Interpreting mixtures. 6.1 An illustrative example. 6.2 Some common cases and a case example. 6.2.1 One victim, one suspect and one unknown. 6.2.2 One suspect and two unknowns. 6.2.3 Two suspects and two unknowns. 6.2.4 Case example. 6.2.5 Exclusion probability. 6.3 A general approach. 6.4 Population in Hardy-Weinberg equilibrium. 6.5 Population with multiple ethnic groups. 6.6 Subdivided population. 6.6.1 Single ethnic group: simple cases. 6.6.2 Single ethnic group: general situations. 6.6.3 Multiple ethnic groups. 6.7 Computer software and example. 6.8 NRC II Recommendation 4.1. 6.8.1 Single ethnic group. 6.8.2 Multiple ethnic groups. 6.9 Proofs. 6.9.1 The proof of Equation (6.6). 6.9.2 The proof of Equation (6.8). 6.9.3 The proof of Equation (6.9). 6.9.4 The proofs of Equations (6.11) and (6.12). 6.9.5 The proofs of Equations (6.14) and (6.15). 6.10 Problems. 7. Interpreting mixtures in the presence of relatives. 7.1 One pair of relatives: HWE. 7.1.1 Motivating example. 7.1.2 A probability formula. 7.1.3 Tested suspect with an unknown relative. 7.1.4 Unknown suspect with a tested relative. 7.1.5 Two related persons were unknown contributors. 7.1.6 An application. 7.2 Two pairs of relatives: HWE. 7.2.1 Two unknowns related respectively to two typed persons. 7.2.2 One unknown is related to a typed person and two other. unknowns are related. 7.2.3 Two pairs of related unknowns. 7.2.4 Examples. 7.2.5 Extension. 7.3 Related people from the same subdivided population. 7.3.1 Introductory example. 7.3.2 A simple case with one victim, one suspect and one relative. 7.3.3 General formulas. 7.3.4 An example analyzed by the software. 7.4 Proofs. 7.4.1 Preliminary. 7.4.2 The proof of Equation (7.5). 7.4.3 The proof of Equation (7.7). 7.4.4 The proof of Equation (7.9). 7.4.5 The proof of Equation (7.11). 7.4.6 The proof of Equation (7.13). 7.4.7 The proofs of Equations (7.18) and (7.20). 7.5 Problems. 8. Other issues. 8.1 Lineage markers. 8.2 Haplotypic genetic markers for mixture. 8.3 Bayesian network. 8.4 Peak information. 8.5 Mass disaster. 8.6 Database search. Solutions to Problems. Appendix A: The standard normal distribution. Appendix B: Upper 1% and 5% points of w2 distributions. Bibliography. Index.

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