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Responsible Genomic Data Sharing

Responsible Genomic Data Sharing
  • Author : Xiaoqian Jiang,Haixu Tang
  • Publisher :Unknown
  • Release Date :2020-03-14
  • Total pages :210
  • ISBN : 9780128163399
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Summary : Responsible Genomic Data Sharing: Challenges and Approaches brings together international experts in genomics research, bioinformatics and digital security who analyze common challenges in genomic data sharing, privacy preserving technologies, and best practices for large-scale genomic data sharing. Practical case studies, including the Global Alliance for Genomics and Health, the Beacon Network, and the Matchmaker Exchange, are discussed in-depth, illuminating pathways forward for new genomic data sharing efforts across research and clinical practice, industry and academia. Addresses privacy preserving technologies and how they can be applied to enable responsible genomic data sharing Employs illustrative case studies and analyzes emerging genomic data sharing efforts, common challenges and lessons learned Features chapter contributions from international experts in responsible approaches to genomic data sharing

Human Genome Informatics

Human Genome Informatics
  • Author : Christophe Lambert,Darrol Baker,George P. Patrinos
  • Publisher :Unknown
  • Release Date :2018-08-02
  • Total pages :314
  • ISBN : 9780128134313
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Summary : Human Genome Informatics: Translating Genes into Health examines the most commonly used electronic tools for translating genomic information into clinically meaningful formats. By analyzing and comparing interpretation methods of whole genome data, the book discusses the possibilities of their application in genomic and translational medicine. Topics such as electronic decision-making tools, translation algorithms, interpretation and translation of whole genome data for rare diseases are thoroughly explored. In addition, discussions of current human genome databases and the possibilities of big data in genomic medicine are presented. With an updated approach on recent techniques and current human genomic databases, the book is a valuable source for students and researchers in genome and medical informatics. It is also ideal for workers in the bioinformatics industry who are interested in recent developments in the field. Provides an overview of the most commonly used electronic tools to translate genomic information Brings an update on the existing human genomic databases that directly impact genome interpretation Summarizes and comparatively analyzes interpretation methods of whole genome data and their application in genomic medicine

Progress and Challenges in Precision Medicine

Progress and Challenges in Precision Medicine
  • Author : Mukesh Verma,Debmalya Barh
  • Publisher :Unknown
  • Release Date :2016-12-22
  • Total pages :344
  • ISBN : 9780128095027
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Summary : Progress and Challenges in Precision Medicine presents an insightful overview to the myriad factors of personalized and precision medicine. The availability of the human genome, large amounts of data on individual genetic variations, environmental interactions, influence of lifestyle, and cutting-edge tools and technologies for big-data analysis have led to the age of personalized and precision medicine. Bringing together a global range of experts on precision medicine, this book collects previously scattered information into one concise volume which covers the most important developments so far in precision medicine and also suggests the most likely avenues for future development. The book includes clinical information, informatics, public policy implications, and information on case studies. It is a useful reference and background work for students, researchers, and clinicians working in the biomedical and medical fields, as well as policymakers in the health sciences. Provides an overview of the growing field of precision medicine Contains chapters from geographically diverse experts in their field Explores important aspects of precision medicine, including applications, ethics, and development

Genome Data Analysis

Genome Data Analysis
  • Author : Ju Han Kim
  • Publisher :Unknown
  • Release Date :2019-04-30
  • Total pages :367
  • ISBN : 9789811319426
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Summary : This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.

Genomics in the Cloud

Genomics in the Cloud
  • Author : Geraldine A. Van der Auwera,Brian D. O'Connor
  • Publisher :Unknown
  • Release Date :2020-04-02
  • Total pages :496
  • ISBN : 9781491975169
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Summary : Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute, guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra

Topological Data Analysis for Genomics and Evolution

Topological Data Analysis for Genomics and Evolution
  • Author : Raúl Rabadán,Andrew J. Blumberg
  • Publisher :Unknown
  • Release Date :2019-12-31
  • Total pages :229
  • ISBN : 9781107159549
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Summary : An introduction to geometric and topological methods to analyze large scale biological data; includes statistics and genomic applications.

The Genome War

The Genome War
  • Author : James Shreeve
  • Publisher :Unknown
  • Release Date :2007-12-18
  • Total pages :416
  • ISBN : 9780307417060
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Summary : The long-awaited story of the science, the business, the politics, the intrigue behind the scenes of the most ferocious competition in the history of modern science—the race to map the human genome. On May 10, 1998, biologist Craig Venter, director of the Institute for Genomic Research, announced that he was forming a private company that within three years would unravel the complete genetic code of human life—seven years before the projected finish of the U.S. government’s Human Genome Project. Venter hoped that by decoding the genome ahead of schedule, he would speed up the pace of biomedical research and save the lives of thousands of people. He also hoped to become very famous and very rich. Calling his company Celera (from the Latin for “speed”), he assembled a small group of scientists in an empty building in Rockville, Maryland, and set to work. At the same time, the leaders of the government program, under the direction of Francis Collins, head of the National Human Genome Research Institute at the National Institutes of Health, began to mobilize an unexpectedly unified effort to beat Venter to the prize—knowledge that had the potential to revolutionize medicine and society. The stage was set for one of the most thrilling—and important—dramas in the history of science. The Genome War is the definitive account of that drama—the race for the greatest prize biology has had to offer, told by a writer with exclusive access to Venter’s operation from start to finish. It is also the story of how one man’s ambition created a scientific Camelot where, for a moment, it seemed that the competing interests of pure science and commercial profit might be gloriously reconciled—and the national repercussions that resulted when that dream went awry.

Genomic and Precision Medicine

Genomic and Precision Medicine
  • Author : Geoffrey S. Ginsburg,Huntington F Willard
  • Publisher :Unknown
  • Release Date :2016-11-22
  • Total pages :398
  • ISBN : 9780128006566
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Summary : Genomic and Precision Medicine: Translation and Implementation highlights the various points along the continuum from health to disease where genomic information is impacting clinical decision-making and leading to more personalization of health care. The book pinpoints the challenges, barriers, and solutions that have been, or are being, brought forward to enable translation of genome based technologies into health care. A variety of infrastructure (data systems and EMRs), policy (regulatory, reimbursement, privacy), and research (comparative effectiveness research, learning health system approaches) strategies are also discussed. Readers will find this volume to be an invaluable resource for the translational genomics and implementation science that is required to fully realize personalized health care. Provides a comprehensive volume on the translation and implementation of biology into health care provision Presents succinct commentary and key learning points that will assist readers with their local needs for translation and implementation Includes an up-to-date overview on major ‘translational events’ in genomic and personalized medicine, along with lessons learned

Collaborative Genomics Projects: A Comprehensive Guide

Collaborative Genomics Projects: A Comprehensive Guide
  • Author : Margi Sheth,Julia Zhang,Jean C Zenklusen
  • Publisher :Unknown
  • Release Date :2016-02-24
  • Total pages :142
  • ISBN : 9780128023686
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Summary : Collaborative Genomics Projects: A Comprehensive Guide contains operational procedures, policy considerations, and the many lessons learned by The Cancer Genome Atlas Project. This book guides the reader through methods in patient sample acquisition, the establishment of data generation and analysis pipelines, data storage and dissemination, quality control, auditing, and reporting. This book is essential for those looking to set up or collaborate within a large-scale genomics research project. All authors are contributors to The Cancer Genome Atlas (TCGA) Program, a NIH- funded effort to generate a comprehensive catalog of genomic alterations in more than 35 cancer types. As the cost of genomic sequencing is decreasing, more and more researchers are leveraging genomic data to inform the biology of disease. The amount of genomic data generated is growing exponentially, and protocols need to be established for the long-term storage, dissemination, and regulation of this data for research. The book's authors create a complete handbook on the management of research projects involving genomic data as learned through the evolution of the TCGA program, a project that was primarily carried out in the US, but whose impact and lessons learned can be applied to international audiences. Establishes a framework for managing large-scale genomic research projects involving multiple collaborators Describes lessons learned through TCGA to prepare for potential roadblocks Evaluates policy considerations that are needed to avoid pitfalls Recommends strategies to make project management more efficient

Applied Genomics and Public Health

Applied Genomics and Public Health
  • Author : George P. Patrinos
  • Publisher :Unknown
  • Release Date :2019-11-13
  • Total pages :404
  • ISBN : 9780128136966
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Summary : Applied Genomics and Public Health examines the interdisciplinary and growing area of how evidence-based genomic knowledge can be applied to public health, population health, healthcare and health policies. The book gathers experts from a variety of disciplines, including life sciences, social sciences, and health care to develop a comprehensive overview of the field. In addition, the book delves into subjects such as pharmacogenomics, genethics, big data, data translation and analysis, economic evaluation, genomic awareness and education, sociology, pricing and reimbursement, policy measures and economic evaluation in genomic medicine. This book is essential reading for researchers and students exploring applications of genomics to population and public health. In addition, it is ideal for those in the biomedical sciences, medical sociologists, healthcare professionals, nurses, regulatory bodies and health economists interested in learning more about this growing field. Explores the growing application of genomics to population and public health Features internationally renowned contributors from a variety of related fields Contains chapters on important topics such as genomic data sharing, genethics and public health genomics, genomics and sociology, and regulatory aspects of genomic medicine and pharmacogenomics

Genetic Variation

Genetic Variation
  • Author : Michael R. Barnes,Gerome Breen
  • Publisher :Unknown
  • Release Date :2014-10-20
  • Total pages :388
  • ISBN : 1627038264
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Summary : “Your genome is an email attachment” What a difference a few years can make? In 2001, to a global fanfare, the completion of the frst draft sequence of the human genome was announced. This had been a Herculean effort, involving thousands of researchers and millions of dollars. Today, a project to re-sequence 1,000 genomes is well underway, and within a year or two, your own “personal genome” is likely to be available for a few thousand pounds, a price that will undoubtedly decrease further. We are fast approaching the day when your genome will be available as an email attachment (about 4 Mb). The key to this feat is the fact that any two human genomes are more than 99% identical, so rather than representing every base, there is really only a requirement to store the 1% of variable sequence judged against a common reference genome. This brings us directly to the focus of this edition of Methods in Molecular Biology, Genetic Variation. The human genome was once the focus of biology, but now individual genome var- tion is taking the center stage. This new focus on individual variation ultimately democ- tizes biology, offering individuals insight into their own phenotype. But these advances also raise huge concerns of data misuse, misinterpretation, and misunderstanding. The immediacy of individual genomes also serves to highlight our relative ignorance of human genetic variation, underlining the need for more studies of the nature and impact of genetic variation on human phenotypes.

Anonymizing Health Data

Anonymizing Health Data
  • Author : Khaled El Emam,Luk Arbuckle
  • Publisher :Unknown
  • Release Date :2013-12-11
  • Total pages :228
  • ISBN : 9781449363031
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Summary : Updated as of August 2014, this practical book will demonstrate proven methods for anonymizing health data to help your organization share meaningful datasets, without exposing patient identity. Leading experts Khaled El Emam and Luk Arbuckle walk you through a risk-based methodology, using case studies from their efforts to de-identify hundreds of datasets. Clinical data is valuable for research and other types of analytics, but making it anonymous without compromising data quality is tricky. This book demonstrates techniques for handling different data types, based on the authors’ experiences with a maternal-child registry, inpatient discharge abstracts, health insurance claims, electronic medical record databases, and the World Trade Center disaster registry, among others. Understand different methods for working with cross-sectional and longitudinal datasets Assess the risk of adversaries who attempt to re-identify patients in anonymized datasets Reduce the size and complexity of massive datasets without losing key information or jeopardizing privacy Use methods to anonymize unstructured free-form text data Minimize the risks inherent in geospatial data, without omitting critical location-based health information Look at ways to anonymize coding information in health data Learn the challenge of anonymously linking related datasets

Sharing Clinical Trial Data

Sharing Clinical Trial Data
  • Author : Institute of Medicine,Board on Health Sciences Policy,Committee on Strategies for Responsible Sharing of Clinical Trial Data
  • Publisher :Unknown
  • Release Date :2015-04-20
  • Total pages :304
  • ISBN : 9780309316323
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Summary : Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research--from funders, to researchers, to journals, to physicians, and ultimately, to patients.

Indigenous Data Sovereignty

Indigenous Data Sovereignty
  • Author : Tahu Kukutai,John Taylor
  • Publisher :Unknown
  • Release Date :2016-11-14
  • Total pages :318
  • ISBN : 9781760460310
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Summary : As the global ‘data revolution’ accelerates, how can the data rights and interests of indigenous peoples be secured? Premised on the United Nations Declaration on the Rights of Indigenous Peoples, this book argues that indigenous peoples have inherent and inalienable rights relating to the collection, ownership and application of data about them, and about their lifeways and territories. As the first book to focus on indigenous data sovereignty, it asks: what does data sovereignty mean for indigenous peoples, and how is it being used in their pursuit of self-determination? The varied group of mostly indigenous contributors theorise and conceptualise this fast-emerging field and present case studies that illustrate the challenges and opportunities involved. These range from indigenous communities grappling with issues of identity, governance and development, to national governments and NGOs seeking to formulate a response to indigenous demands for data ownership. While the book is focused on the CANZUS states of Canada, Australia, Aotearoa/New Zealand and the United States, much of the content and discussion will be of interest and practical value to a broader global audience. ‘A debate-shaping book … it speaks to a fast-emerging field; it has a lot of important things to say; and the timing is right.’ — Stephen Cornell, Professor of Sociology and Faculty Chair of the Native Nations Institute, University of Arizona ‘The effort … in this book to theorise and conceptualise data sovereignty and its links to the realisation of the rights of indigenous peoples is pioneering and laudable.’ — Victoria Tauli-Corpuz, UN Special Rapporteur on the Rights of Indigenous Peoples, Baguio City, Philippines

Biomarker Tests for Molecularly Targeted Therapies

Biomarker Tests for Molecularly Targeted Therapies
  • Author : National Academies of Sciences, Engineering, and Medicine,Institute of Medicine,Board on Health Care Services,Committee on Policy Issues in the Clinical Development and Use of Biomarkers for Molecularly Targeted Therapies
  • Publisher :Unknown
  • Release Date :2016-07-30
  • Total pages :292
  • ISBN : 9780309381345
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Summary : Every patient is unique, and the evolving field of precision medicine aims to ensure the delivery of the right treatment to the right patient at the right time. In an era of rapid advances in biomedicine and enhanced understanding of the genetic basis of disease, health care providers increasingly have access to advanced technologies that may identify molecular variations specific to an individual patient, which subsequently can be targeted for treatment. Known as biomarker tests for molecularly targeted therapies, these complex tests have the potential to enable the selection of the most beneficial treatment (and also to identify treatments that may be harmful or ineffective) for the molecular underpinnings of an individual patient's disease. Such tests are key to unlocking the promise of precision medicine. Biomarker tests for molecularly targeted therapies represent a crucial area of focus for developing methods that could later be applicable to other areas of precision medicine. The appropriate regulatory oversight of these tests is required to ensure that they are accurate, reliable, properly validated, and appropriately implemented in clinical practice. Moreover, common evidentiary standards for assessing the beneficial impact of biomarker-guided therapy selection on patient outcomes, as well as the effective collection and sharing of information related to those outcomes, are urgently needed to better inform clinical decision making. Biomarker Tests of Molecularly Targeted Therapies examines opportunities for and challenges to the use of biomarker tests to select optimal therapy and offers recommendations to accelerate progress in this field. This report explores regulatory issues, reimbursement issues, and clinical practice issues related to the clinical development and use of biomarker tests for targeting therapies to patients. Properly validated, appropriately implemented biomarker tests hold the potential to enhance patient care and improve outcomes, and therefore addressing the challenges facing such tests is critical.

Sharing Research Data to Improve Public Health in Africa

Sharing Research Data to Improve Public Health in Africa
  • Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Committee on Population
  • Publisher :Unknown
  • Release Date :2015-09-18
  • Total pages :102
  • ISBN : 9780309378123
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Summary : Sharing research data on public health issues can promote expanded scientific inquiry and has the potential to advance improvements in public health. Although sharing data is the norm in some research fields, sharing of data in public health is not as firmly established. In March 2015, the National Research Council organized an international conference in Stellenbosch, South Africa, to explore the benefits of and barriers to sharing research data within the African context. The workshop brought together public health researchers and epidemiologists primarily from the African continent, along with selected international experts, to talk about the benefits and challenges of sharing data to improve public health, and to discuss potential actions to guide future work related to public health research data sharing. Sharing Research Data to Improve Public Health in Africa summarizes the presentations and discussions from this workshop.

The $1,000 Genome

The $1,000 Genome
  • Author : Kevin Davies
  • Publisher :Unknown
  • Release Date :2015-08-18
  • Total pages :352
  • ISBN : 9781416569619
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Summary : In 2000, President Bill Clinton signaled the completion of the Human Genome Project at a cost in excess of $2 billion. A decade later, the price for any of us to order our own personal genome sequence--a comprehensive map of the 3 billion letters in our DNA--is rapidly and inevitably dropping to just $1,000. Dozens of men and women--scientists, entrepreneurs, celebrities, and patients--have already been sequenced, pioneers in a bold new era of personalized genomic medicine. The $1,000 genome has long been considered the tipping point that would open the floodgates to this revolution. Do you have gene variants associated with Alzheimer's or diabetes, heart disease or cancer? Which drugs should you consider taking for various diseases, and at what dosage? In the years to come, doctors will likely be able to tackle all of these questions--and many more--by using a computer in their offices to call up your unique genome sequence, which will become as much a part of your medical record as your blood pressure.

Advances in Intelligent Information Systems

Advances in Intelligent Information Systems
  • Author : Zbigniew W Ras,Li-Shiang Tsay
  • Publisher :Unknown
  • Release Date :2010-02-04
  • Total pages :367
  • ISBN : 9783642051821
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Summary : Intelligent Information Systems (IIS) can be defined as the next generation of Information Systems (IS) developed as a result of integration of AI and database (DB) technologies. IIS embody knowledge that allows them to exhibit intelligent behavior, allows them to cooperate with users and other systems in problem solving, discovery, retrieval, and manipulation of data and knowledge. For any IIS to serve its purpose, the information must be available when it is needed. This means that the computing systems used to store data and process the information, and the security controls used to protect it must be functioning correctly. This book covers some of the above topics and it is divided into four sections: Classification, Approximation and Data Security, Knowledge Management, and Application of IIS to medical and music domains.

Managing Health in the Genomic Era

Managing Health in the Genomic Era
  • Author : Vincent Henrich,Lori A. Orlando,Brian H. Shirts
  • Publisher :Unknown
  • Release Date :2020-06-27
  • Total pages :238
  • ISBN : 9780128160169
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Summary : In Managing Health in the Genomic Era: A Guide to Family Health History and Disease Risk, Drs. Vincent C. Henrich, Lori A. Orlando, and Brian H. Shirts discuss the practical considerations surrounding the use of genomic and genetic tests to manage patient health, to provide adult disease risk assessment, to improve diagnosis, and to support effective interventions and treatment. In 10 chapters, evidence-based information and case studies are described and examine the central place of family health history (FHH) in genomic medicine, tools and strategies for compiling and analyzing family health history, how to identify existing and novel genetic markers, how to identify lineage specific (or rare) variants within families, and how to find effective interventions based on genetic testing results and FHH. Factors that influence clinical practice, including gene-environment interactions, FHH social networking, direct to consumer (DTC) genetic testing and data sharing, algorithms for analyzing genetic data, and patient counseling are discussed from the standpoint of clinical practice. Here, frontline healthcare providers will discover succinct commentary and key examples to assist with their local needs. Relevant principles of genetic biology and inheritance are explored and guidance on available support networks and online resources is also provided Presents a practical, accessible resource for primary care providers, allied health professionals, pharmacologists, public health professionals, students and clinical researchers Addresses genetic and genomic approaches in managing patient health, conducting and analyzing family health histories, and assessing adult disease risk Features an expert author team with direct experience integrating genetics and genomics in primary care and family medicine settings Examines the attributes and limitations of family health history, genetic testing, and genomic testing in clinical practice Includes detailed explanations following practice-based examples

The Postgenomic Condition

The Postgenomic Condition
  • Author : Jenny Reardon
  • Publisher :Unknown
  • Release Date :2017-12-29
  • Total pages :304
  • ISBN : 9780226345192
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Summary : Now that we have sequenced the human genome, what does it mean? In The Postgenomic Condition, Jenny Reardon critically examines the decade after the Human Genome Project, and the fundamental questions about meaning, value and justice this landmark achievement left in its wake. Drawing on more than a decade of research—in molecular biology labs, commercial startups, governmental agencies, and civic spaces—Reardon demonstrates how the extensive efforts to transform genomics from high tech informatics practiced by a few to meaningful knowledge beneficial to all exposed the limits of long-cherished liberal modes of knowing and governing life. Those in the American South challenged the value of being included in genomics when no hospital served their community. Ethicists and lawyers charged with overseeing Scottish DNA and data questioned how to develop a system of ownership for these resources when their capacity to create things of value—new personalized treatments—remained largely unrealized. Molecular biologists who pioneered genomics asked whether their practices of thinking could survive the deluge of data produced by the growing power of sequencing machines. While the media is filled with grand visions of precision medicine, The Postgenomic Condition shares these actual challenges of the scientists, entrepreneurs, policy makers, bioethicists, lawyers, and patient advocates who sought to leverage liberal democratic practices to render genomic data a new source of meaning and value for interpreting and caring for life. It brings into rich empirical focus the resulting hard on-the-ground questions about how to know and live on a depleted but data-rich, interconnected yet fractured planet, where technoscience garners significant resources, but deeper questions of knowledge and justice urgently demand attention.

Big Data Analytics in Genomics

Big Data Analytics in Genomics
  • Author : Ka-Chun Wong
  • Publisher :Unknown
  • Release Date :2018-04-22
  • Total pages :428
  • ISBN : 3319823124
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Summary : This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field.This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.