{"product_id":"strategies-in-biomedical-data-science-driving-force-for-innovation-hardback-9781119232193","title":"Strategies in Biomedical Data Science; Driving Force for Innovation (Hardback) 9781119232193","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStrategies in Biomedical Data Science\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eDriving Force for Innovation\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJay A. Etchings (Author), Ken Buetow (Foreword by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119232193, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 7 March 2017\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e464 pages\u003cbr\u003e25.7 x 18.3 x 4.6 cm, 0.885 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eAn essential guide to healthcare data problems, sources, and solutions\u003c\/b\u003e \u003cp\u003e\u003ci\u003eStrategies in Biomedical Data Science\u003c\/i\u003e provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. \u003c\/p\u003e\n\u003cp\u003eBig Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eConsider the data challenges personalized medicine entails\u003c\/li\u003e \u003cli\u003eExplore the available advanced analytic resources and tools\u003c\/li\u003e \u003cli\u003eLearn how bioinformatics as a service is quickly becoming reality\u003c\/li\u003e \u003cli\u003eExamine the future of IOT and the deluge of personal device data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. \u003ci\u003eStrategies in Biomedical Data Science\u003c\/i\u003e provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eForeword xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003eIntroduction 1\u003c\/p\u003e \u003cp\u003eWho Should Read This Book? 3\u003c\/p\u003e \u003cp\u003eWhat’s in This Book? 4\u003c\/p\u003e \u003cp\u003eHow to Contact Us 6\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Healthcare, History, and Heartbreak 7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTop Issues in Healthcare 9\u003c\/p\u003e \u003cp\u003eData Management 16\u003c\/p\u003e \u003cp\u003eBiosimilars, Drug Pricing, and Pharmaceutical Compounding 18\u003c\/p\u003e \u003cp\u003ePromising Areas of Innovation 19\u003c\/p\u003e \u003cp\u003eConclusion 25\u003c\/p\u003e \u003cp\u003eNotes 25\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Genome Sequencing: Know Thyself, One Base Pair at a Time 27\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eContent contributed by Sheetal Shetty and Jacob Brill\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eChallenges of Genomic Analysis 29\u003c\/p\u003e \u003cp\u003eThe Language of Life 30\u003c\/p\u003e \u003cp\u003eA Brief History of DNA Sequencing 31\u003c\/p\u003e \u003cp\u003eDNA Sequencing and the Human Genome Project 35\u003c\/p\u003e \u003cp\u003eSelect Tools for Genomic Analysis 38\u003c\/p\u003e \u003cp\u003eConclusion 47\u003c\/p\u003e \u003cp\u003eNotes 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Data Management 53\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eContent contributed by Joe Arnold\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eBits about Data 54\u003c\/p\u003e \u003cp\u003eData Types 56\u003c\/p\u003e \u003cp\u003eData Security and Compliance 59\u003c\/p\u003e \u003cp\u003eData Storage 66\u003c\/p\u003e \u003cp\u003eSwiftStack 70\u003c\/p\u003e \u003cp\u003eOpenStack Swift Architecture 78\u003c\/p\u003e \u003cp\u003eConclusion 94\u003c\/p\u003e \u003cp\u003eNotes 94\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Designing a Data-Ready Network Infrastructure 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eResearch Networks: A Primer 108\u003c\/p\u003e \u003cp\u003eESnet at 30: Evolving toward Exascale and Raising Expectations 109\u003c\/p\u003e \u003cp\u003eInternet2 Innovation Platform 111\u003c\/p\u003e \u003cp\u003eAdvances in Networking 113\u003c\/p\u003e \u003cp\u003eInfiniBand and Microsecond Latency 114\u003c\/p\u003e \u003cp\u003eThe Future of High-Performance Fabrics 117\u003c\/p\u003e \u003cp\u003eNetwork Function Virtualization 119\u003c\/p\u003e \u003cp\u003eSoftware-Defined Networking 121\u003c\/p\u003e \u003cp\u003eOpenDaylight 122\u003c\/p\u003e \u003cp\u003eConclusion 157\u003c\/p\u003e \u003cp\u003eNotes 157\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Data-Intensive Compute Infrastructures 163\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eContent contributed by Dijiang Huang, Yuli Deng, Jay Etchings, Zhiyuan Ma, and Guangchun Luo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eBig Data Applications in Health Informatics 166\u003c\/p\u003e \u003cp\u003eSources of Big Data in Health Informatics 168\u003c\/p\u003e \u003cp\u003eInfrastructure for Big Data Analytics 171\u003c\/p\u003e \u003cp\u003eFundamental System Properties 186\u003c\/p\u003e \u003cp\u003eGPU-Accelerated Computing and Biomedical Informatics 187\u003c\/p\u003e \u003cp\u003eConclusion 190\u003c\/p\u003e \u003cp\u003eNotes 191\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Cloud Computing and Emerging Architectures 211\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCloud Basics 213\u003c\/p\u003e \u003cp\u003eChallenges Facing Cloud Computing Applications in Biomedicine 215\u003c\/p\u003e \u003cp\u003eHybrid Campus Clouds 216\u003c\/p\u003e \u003cp\u003eResearch as a Service 217\u003c\/p\u003e \u003cp\u003eFederated Access Web Portals 219\u003c\/p\u003e \u003cp\u003eCluster Homogeneity 220\u003c\/p\u003e \u003cp\u003eEmerging Architectures (Zeta Architecture) 221\u003c\/p\u003e \u003cp\u003eConclusion 229\u003c\/p\u003e \u003cp\u003eNotes 229\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Data Science 235\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNoSQL Approaches to Biomedical Data Science 237\u003c\/p\u003e \u003cp\u003eUsing Splunk for Data Analytics 244\u003c\/p\u003e \u003cp\u003eStatistical Analysis of Genomic Data with Hadoop 250\u003c\/p\u003e \u003cp\u003eExtracting and Transforming Genomic Data 253\u003c\/p\u003e \u003cp\u003eProcessing eQTL Data 256\u003c\/p\u003e \u003cp\u003eGenerating Master SNP Files for Cases and Controls 259\u003c\/p\u003e \u003cp\u003eGenerating Gene Expression Files for Cases and Controls 260\u003c\/p\u003e \u003cp\u003eCleaning Raw Data Using MapReduce 261\u003c\/p\u003e \u003cp\u003eTranspose Data Using Python 263\u003c\/p\u003e \u003cp\u003eStatistical Analysis Using Spark 264\u003c\/p\u003e \u003cp\u003eHive Tables with Partitions 268\u003c\/p\u003e \u003cp\u003eConclusion 270\u003c\/p\u003e \u003cp\u003eNotes 270\u003c\/p\u003e \u003cp\u003eAppendix: A Brief Statistics Primer 290\u003cbr\u003e \u003ci\u003eContent Contributed by Daniel Peñaherrera\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Next-Generation Cyberinfrastructures 307\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNext-Generation Cyber Capability 308\u003c\/p\u003e \u003cp\u003eNGCC Design and Infrastructure 310\u003c\/p\u003e \u003cp\u003eConclusion 327\u003c\/p\u003e \u003cp\u003eNote 330\u003c\/p\u003e \u003cp\u003eConclusion 335\u003c\/p\u003e \u003cp\u003eAppendix A The Research Data Management Survey: From Concepts to Practice 337\u003cbr\u003e \u003ci\u003eBrandon Mikkelsen and Jay Etchings\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAppendix B Central IT and Research Support 353\u003cbr\u003e \u003ci\u003eGregory D. Palmer\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eAppendix C HPC Working Example: Using Parallelization Programs Such as GNU Parallel and OpenMP with Serial Tools 377\u003c\/p\u003e \u003cp\u003eAppendix D HPC and Hadoop: Bridging HPC to Hadoop 385\u003c\/p\u003e \u003cp\u003eAppendix E Bioinformatics + Docker: Simplifying Bioinformatics Tools Delivery with Docker Containers 391\u003c\/p\u003e \u003cp\u003eGlossary 399\u003c\/p\u003e \u003cp\u003eAbout the Author 419\u003c\/p\u003e \u003cp\u003eAbout the Contributors 421\u003c\/p\u003e \u003cp\u003eIndex 427\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Other branches of medicine [\u003ca title=\"See our other books on Other branches of medicine\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Other%20branches%20of%20medicine%20%5BMM%5D%22\"\u003eMM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52428541919512,"sku":"9781119232193","price":45.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119232193.jpg?v=1784678844","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/strategies-in-biomedical-data-science-driving-force-for-innovation-hardback-9781119232193","provider":"Freshly Printed Books","version":"1.0","type":"link"}