Книги: "Genomics study"

1

Auteur, Jones Elizabeth W., and Lozovsky Elena R. Auteur, eds. Study guide and solutions manual to accompany Essential genetics. 4th ed. Boston: Jones and Bartlett Publishers, 2006.

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2

Dent, David. The convention on biological diversity and product commercialisation in development assistance projects: A case study of LUBILOSA. Wallingford, Oxon, UK: New York, NY, 2001.

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3

Waltenbury, Danielle. The use of RAPD genomic fingerprinting to study relatedness in strains of Acidithiobacillus ferrooxidans. Sudbury, Ont: Laurentian University, School of Graduate Studies, 2003.

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4

Radiat︠s︡ionno-indut︠s︡irovannai︠a︡ nestabilʹnostʹ genoma u rasteniĭ i bakteriĭ. Baku: Élm, 2007.

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5

R, Lozovsky Elena, and Jones Elizabeth W, eds. Student solutions manual and supplemental problems to accompany Genetics: Analysis of genes and genomes seventh edition. Sudbury, Mass: Jones and Bartlett Publishers, 2009.

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6

Unit, Heriot-Watt University SCHOLAR, ed. SQA CfE Higher Biology: DNA and the Genome. Edinburgh: Heriot-Watt University SCHOLAR, 2014.

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7

Study guide/solutions manual to accompany Genetics: From genes to genomes, third edition, Leland H. Hartwell, Ann E. Reynolds, Leroy Hood, Lee M. Silver, Michael L. Goldberg, Ruth C. Veres. New York: McGraw-Hill, 2008.

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8

Gloyn, Anna L., and Mark I. McCarthy. Genetics in diabetes: Type 2 diabetes and related traits. Basel: Karger, 2014.

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9

Weinmann, Hilmar, and Stefan Jaroch. Chemical Genomics: Small Molecule Probes to Study Cellular Function. Springer, 2016.

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10

Geeen, J. E. Genomic Approaches to the Study of Breast Cancer. IOS Press, 2004.

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11

Snyder, Michael. Genomics and Personalized Medicine. Oxford University Press, 2016. http://dx.doi.org/10.1093/wentk/9780190234775.001.0001.

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In 2001 the Human Genome Project succeeded in mapping the DNA of humans. This landmark accomplishment launched the field of genomics, the integrated study of all the genes in the human body and the related biomedical interventions that can be tailored to benefit a person's health. Today genomics, part of a larger movement toward personalized medicine, is poised to revolutionize health care. By cross-referencing an individual's genetic sequence -- their genome -- against known elements of "Big Data," elements of genomics are already being incorporated on a widespread basis, including prenatal disease screening and targeted cancer treatments. With more innovations soon to arrive at the bedside, the promise of the genomics revolution is limitless. This entry in the What Everyone Needs to Know series offers an authoritative resource on the prospects and realities of genomics and personalized medicine. As this science continues to alter traditional medical paradigms, consumers are faced with additional options and more complicated decisions regarding their health care. This book provides the essential information everyone needs.

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12

(Editor), Stefan Jaroch, and Hilmar Weinmann (Editor), eds. Chemical Genomics: Small Molecule Probes to Study Cellular Function (Ernst Schering Research Foundation Workshop). Springer, 2006.

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13

Gondro, Cedric, Julius van der Werf, and Ben Hayes. Genome-Wide Association Studies and Genomic Prediction. Humana Press, 2017.

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14

Media, Springer Science+Business, ed. Genome-wide association studies and genomic prediction. Humana Press, 2013.

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15

Maher, Christopher J., and Elaine R. Mardis. Genomic Landscape of Cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0004.

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The study of cancer genomics has advanced rapidly during the last decade due to the development of next generation or massively parallel technology for DNA sequencing. The resulting knowledge is transforming the understanding of both inherited (germline) genetic susceptibility and the somatic changes in tumor tissue that drive abnormal growth and progression. The somatic alterations in tumor tissue vary depending on the type of cancer and its characteristic “genomic landscape.” New technologies have increased the speed and lowered the cost of DNA sequencing and have enabled high-volume characterization of RNA, DNA methylation, DNA-protein complexes, DNA conformation, and a host of other factors that, when altered, can contribute to the development and/or progression of the cancer. Technologic advances have greatly expanded research on somatic changes in tumor tissue, revealing both the singularity of individual cancer genomes and the commonality of genetic alterations that drive cancer in different tissues.

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16

Appasani, Krishnarao, Stephen W. Scherer, and Peter M. Visscher. Genome-Wide Association Studies: From Polymorphism to Personalized Medicine. Cambridge University Press, 2016.

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17

Appasani, Krishnarao, Stephen W. Scherer, and Peter M. Visscher. Genome-Wide Association Studies: From Polymorphism to Personalized Medicine. Cambridge University Press, 2015.

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18

Chemical Genomics: Small Molecule Probes to Study Cellular Function (Ernst Schering Foundation Symposium Proceedings Book 58). Springer, 2007.

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19

Kar, Robin Bradley, and John Lindo. Race and the Law in the Genomic Age. Edited by Roger Brownsword, Eloise Scotford, and Karen Yeung. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199680832.013.55.

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Despite the ‘Age of Genomics’, many scholars who study race and the law resist biological insights into human psychology and behaviour. Contemporary developments make this resistance increasingly untenable. This chapter synthesizes recent findings in genomics and evolutionary psychology, which suggest cause for concern over how racial concepts function in the law. Firstly, racial perceptions engage a ‘folk-biological’ module of psychology, which generates inferences poorly adapted to genomic facts about human populations. Racial perceptions are, therefore, prone to function in ways more prejudicial than probative of many issues relevant to criminal and civil liability. Secondly, many folk biological inferences function automatically, unconsciously, and without animus or discriminatory intent. Hence, current equal protection doctrine, which requires a finding of discriminatory intent and is a central mechanism for guaranteeing people equal treatment under the law, is poorly suited to that task. These facts support but complicate several claims made by Critical Race Theorists.

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20

Maxine, Hammonds Evelynn, and Herzig Rebecca M. 1971-, eds. The nature of difference: Sciences of race in the United States from Jefferson to genomics. Cambridge, MA: MIT Press, 2009.

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21

(Editor), Evelynn M. Hammonds, and Rebecca M. Herzig (Editor), eds. The Nature of Difference: Science of Race in the United States from Jefferson to Genomics. The MIT Press, 2008.

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22

(Editor), Evelynn M. Hammonds, and Rebecca M. Herzig (Editor), eds. The Nature of Difference: Science of Race in the United States from Jefferson to Genomics. The MIT Press, 2008.

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23

Suzuki, Kazuko, and Diego A. von Vacano. Conclusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190465285.003.0014.

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This conclusion discusses a shift in genomics scholarship from disinterest in race to a commitment to understanding race. It describes the issues and misconceptions emerging from this new race-related genomics research. Most of the writers in the field of race and genomics have slowly but inevitably come to the realization that, as social scientists have long known, the disconnect between the data produced by scientific studies and the way these results are interpreted and appropriated by the general public has all the allure of cognitive dissonance. Most scholars start the story of this disconnect with the advent of the very public Human Genome Project under the Clinton administration. The discoveries of the Human Genome Project failed to completely transcend race. After examining both Western and non-Western cases, this chapter illuminates six main points related to the genomics-race interface that should be highlighted in the future study of this area.

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24

Cutter, Asher D. A Primer of Molecular Population Genetics. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198838944.001.0001.

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The study of molecular population genetics seeks to understand the micro-evolutionary principles underlying DNA sequence variation and change. It addresses such questions as: Why do individuals differ as much as they do in their DNA sequences? What are the genomic signatures of adaptations? How often does natural selection dictate changes to DNA and accumulate as differences between species? How does the ebb and flow in the abundance of individuals over time get marked onto chromosomes to record genetic history? The concepts used to answer such questions also apply to analysis of personal genomics, genome-wide association studies, phylogenetics, landscape and conservation genetics, forensics, molecular anthropology, and selection scans. This Primer of Molecular Population Genetics introduces the bare essentials of the theory and practice of evolutionary analysis through the lens of DNA sequence change in populations. Intended as an introductory text for upper-level undergraduates and junior graduate students, this Primer also provides an accessible entryway for scientists from other areas of biology to appreciate the ideas and practice of molecular population genetics. With the revolutionary advances in genomic data acquisition, understanding molecular population genetics is now a fundamental requirement for today’s life scientists.

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25

Kirchman, David L. Genomes and meta-omics for microbes. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789406.003.0005.

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The sequencing of entire genomes of microbes grown in pure cultures is now routine. The sequence data from cultivated microbes have provided insights into these microbes and their uncultivated relatives. Sequencing studies have found that bacterial genomes range from 0.18 Mb (intracellular symbiont) to 13 Mb (a soil bacterium), whereas genomes of eukaryotes are much bigger. Genomes from eukaryotes and prokaryotes are organized quite differently. While bacteria and their small genomes often grow faster than eukaryotes, there is no correlation between genome size and growth rates among the bacteria examined so far. Genomic studies have also highlighted the importance of genes exchanged (“horizontal gene transfer”) between organisms, seemingly unrelated, as defined by rRNA gene sequences. Microbial ecologists use metagenomics to sequence all microbes in a community. This approach has revealed unsuspected physiological processes in microbes, such as the occurrence of a light-driven proton pump, rhodopsin, in bacteria (dubbed proteorhodopsin). Genomes from single cells isolated by flow cytometry have also provided insights about the ecophysiology of both bacteria and protists. Oligotrophic bacteria have streamlined genomes, which are usually small but with a high fraction of genomic material devoted to protein-encoding genes, and few transcriptional control mechanisms. The study of all transcripts from a natural community, metatranscriptomics, has been informative about the response of eukaryotes as well as bacteria to changing environmental conditions.

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26

Walsh, Bruce, and Michael Lynch. Evolution and Selection of Quantitative Traits. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.001.0001.

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Quantitative traits—be they morphological or physiological characters, aspects of behavior, or genome-level features such as the amount of RNA or protein expression for a specific gene—usually show considerable variation within and among populations. Quantitative genetics, also referred to as the genetics of complex traits, is the study of such characters and is based on mathematical models of evolution in which many genes influence the trait and in which non-genetic factors may also be important. Evolution and Selection of Quantitative Traits presents a holistic treatment of the subject, showing the interplay between theory and data with extensive discussions on statistical issues relating to the estimation of the biologically relevant parameters for these models. Quantitative genetics is viewed as the bridge between complex mathematical models of trait evolution and real-world data, and the authors have clearly framed their treatment as such. This is the second volume in a planned trilogy that summarizes the modern field of quantitative genetics, informed by empirical observations from wide-ranging fields (agriculture, evolution, ecology, and human biology) as well as population genetics, statistical theory, mathematical modeling, genetics, and genomics. Whilst volume 1 (1998) dealt with the genetics of such traits, the main focus of volume 2 is on their evolution, with a special emphasis on detecting selection (ranging from the use of genomic and historical data through to ecological field data) and examining its consequences. This extensive work of reference is suitable for graduate level students as well as professional researchers (both empiricists and theoreticians) in the fields of evolutionary biology, genetics, and genomics. It will also be of particular relevance and use to plant and animal breeders, human geneticists, and statisticians.

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27

Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. Marine environments. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0013.

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Chapter 13 “Marine environments” focuses on different applications of eDNA to study marine biodiversity. After a brief description of the current knowledge on DNA cycle in pelagic and benthic environments, this chapter revisits how DNA metabarcoding, and more generally environmental genomics have revolutionized the field of marine microbiology through the discovery of novel taxa and by unveiling large-scale patterns of diversity for marine bacteria, protists, and viruses. This chapter then presents recent applications of DNA metabarcoding for both basic research or biomonitoring purposes to study marine invertebrates and fish populations and diversity, as well as the detection of invasive species. Current gaps and methodological challenges are also discussed.

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28

Integrated Study of Viral Genomes. CALLISTO REFERENCE, 2015.

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29

Canli, Turhan. Is Depression an Infectious Disease? Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.28.

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In molecular psychology, the tools of molecular biology and genomics are applied to study and better understand behavior. In this chapter, the author applies this approach to present a novel perspective on major depressive disorder (MDD). The treatment approach for MDD has not changed much in half a century, and—in general—today’s treatments are not more effective than earlier ones. The author suggests a new approach, one that conceptualizes MDD as an infectious disease. The author presents a set of four clues that are consistent with such a claim and lays out a molecular approach to how a search for a disease-causing agent could be conducted.

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30

Wyatt, Tristram D. Animal Behaviour: A Very Short Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780198712152.001.0001.

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How animals behave is crucial to their survival and reproduction. Animal Behaviour: A Very Short Introduction discusses how animal behaviour has evolved, how behaviours develop in each individual (considering the interplay of genes, epigenetics, and experience), how we can understand animal societies, and how we can explain collective behaviour such as swirling flocks of starlings. The application of new molecular tools, such as DNA fingerprinting and genomics, and developments in computing and image analysis are causing a revolution in the study of animal behaviour. Combining these methods with field studies, it looks at mammals, butterflies, honeybees, fish, and birds, analysing what drives behaviour, and exploring instinct, learning, and culture.

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31

Spies, Maria, and Anna Malkova. Mechanisms of DNA Recombination and Genome Rearrangements : Methods to Study Homologous Recombination: Methods to Study Homologous Recombination. Elsevier Science & Technology Books, 2018.

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32

Taberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. Introduction to environmental DNA (eDNA). Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0001.

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Chapter “Introduction to environmental DNA (eDNA)” defines the central concepts of this book. Environmental DNA (eDNA) corresponds to a mixture of genomic DNA from many different organisms found in an environmental sample such as water, soil, or feces. DNA metabarcoding can be defined as the simultaneous DNA-based identification of many taxa found in the same eDNA extract. It is usually based on the analysis of a metabarcode (i.e., a short and taxonomically informative DNA region). Metagenomics refers to the assembly and functional analysis of the different genomes found in an environmental sample, while metatranscriptomics examines gene expression and regulation at the sampling time based on the set of RNAs extracted from such a sample. Chapter also presents a brief history of eDNA, highlights the different steps of an eDNA study, and gives an overview of the different eDNA methods implemented in ecological research or biodiversity management.

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33

Appasani, Krishnarao, and Raghu Kiran Appasani, eds. Single-Molecule Science. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108525909.

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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.

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34

Scerif, Gaia, and Rachel Wu. Developmental Disorders. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.030.

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Tracing the development of attentional deficits and their cascading effects in genetically and functionally defined disorders allows an understanding of intertwined developing systems on three levels. At the cognitive level, attention influences perception, learning, and memory. Attention and other cognitive processes interact to produce cascading effects across developmental time. At a systems neuroscience level, developmental disorders can reveal the systems and mechanisms necessary to attain adults’ efficient attentional processes. At the level of cellular neuroscience and functional genomics, disorders of known genetic aetiology provide inroads into cellular pathways and protein networks leading to attentional deficits across development. This chapter draws from both genetically defined and functionally defined disorders to delineate the complexities and necessity of studying attentional deficits and their neural correlates. Studying developmental disorders highlights the need to study attentional processes and other cognitive processes (e.g. memory and learning) in tandem, given their inseparable nature.

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35

Dickenson, Donna. The Common Good. Edited by Roger Brownsword, Eloise Scotford, and Karen Yeung. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199680832.013.75.

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In conventional thinking, the promise of scientific progress gives automatic and unquestioned legitimacy to any new development in biotechnology. It is the nearest thing we have in a morally relativistic society to the concept of the common good. This chapter begins by examining a recent case study, so-called ‘mitochondrial transfer’ or three-person IVF, in which policymakers appeared to accept that this new technology should be effectively deregulated because that would serve UK national scientific progress and the national interest, despite serious unanswered concerns about its effectiveness and safety. The historical and philosophical underpinnings of the concept of the common good should make us more sceptical of the manner in which the concept can be perverted by particular interests. But there are also hopeful signs that the common good and the biomedical commons are being taken seriously in new models for governance of genomics and biotechnology more generally.

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36

Canli, Turhan. Neurogenethics. Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.27.

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Ethical inquiry has followed advances in biology for decades, and different fields within biology have given rise to overlapping yet distinct areas of ethical inquiry. Genethics focuses on the ethics of genetics. Neuroethics focuses on the ethics of neuroscience. The author suggests that developments in molecular psychology, in which the tools of molecular biology are applied to study behavior, bring a new confluence of factors to generate a set of new questions, unique to the combination of neuroscience and genetics: neurogenethics—the ethics of neurogenetics. The questions are unique and novel because they emerge when genetic techniques are applied to the brain: to reprogram neural circuits and psychological processes, better predict behavior, personalize mental health treatment, and understand the Self. This chapter outlines the problem space and discusses specific examples of future neurogenethics research areas: viral-mediated gene therapy directed at the brain, optogenetics, imaging genetics, therapygenetics, and direct-to-consumer genomics.

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37

Modir, Shahla J., and George E. Muñoz. The Future of Addiction and Recovery Healing Arts. Edited by Shahla J. Modir and George E. Muñoz. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190275334.003.0032.

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This chapter peers into the future of addiction treatment. It begins with an exploration of repetitive transcranial magnetic brain stimulation or rTMS as a treatment for SUD. The evidence and clinical data is reviewed. Findings include outcome data on the use of rTMS. Furthermore, important brain regions central to the development of SUD are examined: the ventral tegmental area and ventral striatum appear to play a central role in the binge/intoxication stage, the extended amygdala in the withdrawal/negative affect stage, and the orbitofrontal cortex-dorsal striatum, prefrontal cortex, basolateral amygdala, hippocampus, and insula in craving. The role of genomics and gene-wide associations to deliver future personalized addiction treatments is discussed as is advanced functional neural imaging. Technology for patients and consumers, including relapse prevention apps and bidirectional biometric reading is mentioned. Breakthroughs in addiction immunology, both generalized and substance specific, are discussed as potential points of future study and interventions.

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38

Suffredini, Anthony F., and J. Perren Cobb. Genetic and molecular expression patterns in critical illness. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0031.

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Investigators who study RNA, proteins, or metabolites use analytic platforms that simultaneously measure changes in the relative abundance of thousands of molecules in a single biological sample. Over the last decade, the application of these high-throughput, genome-wide platforms to study critical illness and injury has generated huge quantities of data that require specialized computational skills for analysis. These investigations hold promise for improving our understanding of the host response, thereby transforming the practice of intensive care. This chapter summarizes recent technological and computational approaches used in genomics, proteomics, and metabolomics. While major advances have been made with these approaches when applied to chronic diseases, the acute nature of critical illness and injury has unique challenges. The rapidity of initiating events, the trajectory of inflammation that follows injury or infection and the interplay of host responses to a replicating infection, all have major effects on changes in gene and molecular expression. This complexity is further accentuated by measurement that may vary with the timing and type of tissue sampled after the critical event. In addition, the hunt for novel molecular markers holds promise for identifying patients at risk for severe illness and for enabling more individualized therapy.

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39

Young, Paul, Michael M. Cox, and David L. Nelson. Lehninger Principles of Biochemistry & CD-Rom & Study Guide & Exploring Genomes. W. H. Freeman, 2003.

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40

Feder, Adriana, Sarah R. Horn, Margaret Haglund, Steven M. Southwick, and Dennis S. Charney. The Neurobiology of Resilience. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0038.

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Resilience is the ability to adapt successfully in the face of severe stress, trauma, or adversity. Over the past several decades, a wide range of studies in children and later in adults identified several key psychosocial characteristics associated with resilience, including emotion regulation, cognitive flexibility, positive emotions, and the availability of social support, among others. More recent studies are increasingly employing integrative approaches, incorporating genomic, neuroendocrine, and neuroimaging data to the study of resilience. This chapter reviews our current understanding of the neurobiology of resilience from genomic, developmental, psychosocial, neuroendocrine, brain circuitry, and integrative perspectives, and includes a final section focusing on implications for prevention and treatment of stress-related psychopathology.

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41

Bulayeva, Kazima, Oleg Bulayev, and Stephen Glatt. Genomic Architecture of Schizophrenia Across Diverse Genetic Isolates: A Study of Dagestan Populations. Springer, 2018.

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42

Bulayeva, Kazima, Oleg Bulayev, and Stephen Glatt. Genomic Architecture of Schizophrenia Across Diverse Genetic Isolates: A Study of Dagestan Populations. Springer International Publishing AG, 2016.

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43

Bulayeva, Kazima, Oleg Bulayev, and Stephen Glatt. Genomic Architecture of Schizophrenia Across Diverse Genetic Isolates: A Study of Dagestan Populations. Springer London, Limited, 2016.

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44

Tang, Hailiang, ed. Pathogenesis Study of Glioma: From Glioma Stem Cells, Genomic Tags, to Rodent Models. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-6390-9.

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45

Schmid-Hempel, Paul. Evolutionary Parasitology. 2nd ed. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198832140.001.0001.

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Parasites are ubiquitous and shape almost every aspect of their hosts, including physiology, behaviour, life histories, the structure of the microbiota, and entire communities. Hence, parasitism is one of the most potent forces in nature and, without parasites, the world would look very different. The book gives an overview over the parasite groups and the diversity of defences that hosts have evolved, such as immune systems. Principles of evolutionary biology and ecology analyse major elements of host–parasite interactions, including virulence, infection processes, tolerance, resistance, specificity, memory, polymorphisms, within-host dynamics, diseases spaces, and many other aspects. Genetics is always one of the key elements in these topics. Modelling, furthermore, can predict best strategies for host and parasites. Similarly, the spread of an infectious disease in epidemiology combines with molecular data and genomics. Furthermore, parasites have evolved ways to overcome defences and to manipulate their hosts. Hosts and parasites, therefore, continuously co-evolve, with changes sometimes occurring very rapidly, and sometimes requiring geological times. Many infectious diseases of humans have emerged from a zoonotic origin, in processes governed by the basic principles discussed in the different sections. Hence, this book integrates different fields to study the diversity of host–parasite processes and phenomena. It summarizes the essential topics for the study of evolutionary parasitology and will be useful for a broad audience.

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46

Solutions Manual/Study Guide t/a Genetics: From Genes to Genomes. McGraw-Hill Science/Engineering/Math, 1999.

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47

Hood, Leroy E., Leland Hartwell, Lee M. Silver, Michael L. Goldberg, and Michael Goldberg. Solutions Manual/Study Guide to accompany Genetics: From Genes to Genomes. 2nd ed. McGraw-Hill Science/Engineering/Math, 2003.

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48

Hood, Leroy E., Leland Hartwell, Lee M. Silver, Michael L. Goldberg, and Michael Goldberg. Solutions Manual/Study Guide to accompany Genetics: From Genes to Genomes. McGraw-Hill Science/Engineering/Math, 2003.

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49

Merl, Dan, Joseph Lucas, Joseph Nevins, Haige Shen, and Mike West. Trans-study projection of genomic biomarkers in analysis of oncogene deregulation and breast cancer. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.6.

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This article focuses on the use of Bayesian concepts and methods in the trans-study projection of genomic biomarkers for the analysis of oncogene deregulation in breast cancer. The objective of the study is to determine the extent to which patterns of gene expression associated with experimentally induced oncogene pathway deregulation can be used to investigate oncogene pathway activity in real human cancers. This is often referred to as the in vitro to in vivo translation problem, which is addressed using Bayesian sparse factor regression analysis for model-based translation and refinement of in vitro generated signatures of oncogene pathway activity into the domain of human breast tumour tissue samples. The article first provides an overview of the role of oncogene pathway deregulation in human cancers before discussing the details of modelling and data analysis. It then considers the findings based on biological evaluation and Bayesian pathway annotation analysis.

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50

The Convention on Biological Diversity and Product Commercialisation in Development Assistance Projects: A Case Study of LUBILOSA (Biopesticides Series, Number 3). CABI, 2001.

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Книги з теми "Genomics study"

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