Download Bioinformatics For Biomedical Science And Clinical Applications Book PDF

Download full Bioinformatics For Biomedical Science And Clinical Applications books PDF, EPUB, Tuebl, Textbook, Mobi or read online Bioinformatics For Biomedical Science And Clinical Applications anytime and anywhere on any device. Get free access to the library by create an account, fast download and ads free. We cannot guarantee that every book is in the library.

Bioinformatics for Biomedical Science and Clinical Applications

Bioinformatics for Biomedical Science and Clinical Applications
  • Author : K-H Liang
  • Publisher :Unknown
  • Release Date :2013-07-31
  • Total pages :170
  • ISBN : 9781908818232
GET BOOK HERE

Summary : Contemporary biomedical and clinical research is undergoing constant development thanks to the rapid advancement of various high throughput technologies at the DNA, RNA and protein levels. These technologies can generate vast amounts of raw data, making bioinformatics methodologies essential in their use for basic biomedical and clinical applications. Bioinformatics for biomedical science and clinical applications demonstrates what these cutting-edge technologies can do and examines how to design an appropriate study, including how to deal with data and address specific clinical questions. The first two chapters consider Bioinformatics and analysis of the human genome. The subsequent three chapters cover the introduction of Transcriptomics, Proteomics and Systems biomedical science. The remaining chapters move on to critical developments, clinical information and conclude with domain knowledge and adaptivity. A coherent presentation of concepts, methodologies and practical tools that systematically lead to significant discoveries in the biomedical and clinical area Real examples of cutting edge discoveries The introduction of study types and technologies for all the DNA, RNA and protein levels

Statistical Advances in the Biomedical Sciences

Statistical Advances in the Biomedical Sciences
  • Author : Atanu Biswas,Sujay Datta,Jason P. Fine,Mark R. Segal
  • Publisher :Unknown
  • Release Date :2007-12-14
  • Total pages :616
  • ISBN : 0470181192
GET BOOK HERE

Summary : The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology in medical research and the sophisticated advances in computing, it has become essential for practitioners in the biomedical sciences to be fully educated on the role statistics plays in ensuring the accurate analysis of research findings. Statistical Advances in the Biomedical Sciences explores the growing value of statistical knowledge in the management and comprehension of medical research and, more specifically, provides an accessible introduction to the contemporary methodologies used to understand complex problems in the four major areas of modern-day biomedical science: clinical trials, epidemiology, survival analysis, and bioinformatics. Composed of contributions from eminent researchers in the field, this volume discusses the application of statistical techniques to various aspects of modern medical research and illustrates how these methods ultimately prove to be an indispensable part of proper data collection and analysis. A structural uniformity is maintained across all chapters, each beginning with an introduction that discusses general concepts and the biomedical problem under focus and is followed by specific details on the associated methods, algorithms, and applications. In addition, each chapter provides a summary of the main ideas and offers a concluding remarks section that presents novel ideas, approaches, and challenges for future research. Complete with detailed references and insight on the future directions of biomedical research, Statistical Advances in the Biomedical Sciences provides vital statistical guidance to practitioners in the biomedical sciences while also introducing statisticians to new, multidisciplinary frontiers of application. This text is an excellent reference for graduate- and PhD-level courses in various areas of biostatistics and the medical sciences and also serves as a valuable tool for medical researchers, statisticians, public health professionals, and biostatisticians.

Java for Bioinformatics and Biomedical Applications

Java for Bioinformatics and Biomedical Applications
  • Author : Harshawardhan Bal,Johnny Hujol
  • Publisher :Unknown
  • Release Date :2007-01-16
  • Total pages :342
  • ISBN : 9780387372372
GET BOOK HERE

Summary : Medical science and practice have undergone fundamental changes in the last 5 years, as large-scale genome projects have resulted in the sequencing of a number of important microbial, plant and animal genomes. This book aims to combine industry standard software engineering and design principles with genomics, bioinformatics and cancer research. Rather than an exercise in learning a programming platform, the text focuses on useful analytical tools for the scientific community.

Cancer Systems Biology, Bioinformatics and Medicine

Cancer Systems Biology, Bioinformatics and Medicine
  • Author : Alfredo Cesario,Frederick Marcus
  • Publisher :Unknown
  • Release Date :2011-08-21
  • Total pages :484
  • ISBN : 9400715676
GET BOOK HERE

Summary : This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.

Application of Clinical Bioinformatics

Application of Clinical Bioinformatics
  • Author : Xiangdong Wang,Christian Baumgartner,Denis C. Shields,Hong-Wen Deng,Jacques S Beckmann
  • Publisher :Unknown
  • Release Date :2016-03-31
  • Total pages :398
  • ISBN : 9789401775434
GET BOOK HERE

Summary : This book elucidates how genetic, biological and medical information can be applied to the development of personalized healthcare, medication and therapies. Focusing on aspects of the development of evidence-based approaches in bioinformatics and computational medicine, including data integration, methodologies, tools and models for clinical and translational medicine, it offers an essential introduction to clinical bioinformatics for clinical researchers and physicians, medical students and teachers, and scientists working with human disease-based omics and bioinformatics. Dr. Xiangdong Wang is a distinguished Professor of Medicine. He is Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Deputy Director of Shanghai Respiratory Research Institute, Director of Biomedical Research Center, Fudan University Zhongshan Hospital, Shanghai, China; Dr. Christian Baumgartner is a Professor of Health Care and Biomedical Engineering at Institute of Health Care Engineering with European Notified Body of Medical Devices, Graz University of Technology, Graz, Austria; Dr. Denis Shields is a Professor of Clinical Bioinformatics at Conway Institute, Belfield, Dublin, Ireland; Dr. Hong-Wen Deng is a Professor at Department of Biostatistics and Bioinformatics, Tulane University School of Public Health and Tropical Medicine, USA; Dr. Jacques S Beckmann is a Professor and Director of Section of Clinical Bioinformatics, Swiss Institute of Bioinformatics, Switzerland.

Computational Methods With Applications In Bioinformatics Analysis

Computational Methods With Applications In Bioinformatics Analysis
  • Author : Tsai Jeffrey J P,Ng Ka-lok
  • Publisher :Unknown
  • Release Date :2017-06-09
  • Total pages :232
  • ISBN : 9789813207998
GET BOOK HERE

Summary : This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics. The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.

Translational Bioinformatics in Healthcare and Medicine

Translational Bioinformatics in Healthcare and Medicine
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2021-05-13
  • Total pages :254
  • ISBN : 9780323898904
GET BOOK HERE

Summary : Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics and real-case applications of translational bioinformatics in healthcare. Written by experts from both technology and clinical sides, the content brings together essential knowledge to make the best of recent advancements of the field. The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug repurposing. In addition, it discusses the role of bioinformatics in cancer research and viroinformatics approaches to counter viral diseases through informatics. This is a valuable resource for bioinformaticians, clinicians, healthcare professionals, graduate students and several members of biomedical field who are interested in learning more about how bioinformatics can impact in their research and practice. Covers recent advancements in translational bioinformatics and its healthcare applications Discusses integrative and multidisciplinary approaches to U-healthcare systems development and management Bridges the gap among various knowledge domains in the field, integrating both technological and clinical knowledge into practical content

Biomedical Informatics

Biomedical Informatics
  • Author : Edward H. Shortliffe,James J. Cimino
  • Publisher :Unknown
  • Release Date :2013-12-02
  • Total pages :965
  • ISBN : 9781447144748
GET BOOK HERE

Summary : The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies.

Biocomputation and Biomedical Informatics: Case Studies and Applications

Biocomputation and Biomedical Informatics: Case Studies and Applications
  • Author : Lazakidou, Athina A.
  • Publisher :Unknown
  • Release Date :2009-11-30
  • Total pages :356
  • ISBN : 9781605667690
GET BOOK HERE

Summary : "This book provides a compendium of terms, definitions, and explanations of concepts, processes, and acronyms"--Provided by publisher.

SOFSEM 2018: Theory and Practice of Computer Science

SOFSEM 2018: Theory and Practice of Computer Science
  • Author : A Min Tjoa,Ladjel Bellatreche,Stefan Biffl,Jan van Leeuwen,Jiří Wiedermann
  • Publisher :Unknown
  • Release Date :2018-01-27
  • Total pages :698
  • ISBN : 9783319731179
GET BOOK HERE

Summary : This book constitutes the refereed proceedings of the 44th International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2018, held in Krems, Austria, in January/February 2018. The 48 papers presented in this volume were carefully reviewed and selected from 97 submissions. They were organized in topical sections named: foundations of computer science; software engineering: advances methods, applications, and tools; data, information and knowledge engineering; network science and parameterized complexity; model-based software engineering; computational models and complexity; software quality assurance and transformation; graph structure and computation; business processes, protocols, and mobile networks; mobile robots and server systems; automata, complexity, completeness; recognition and generation; optimization, probabilistic analysis, and sorting; filters, configurations, and picture encoding; machine learning; text searching algorithms; and data model engineering.

Clinical Research in Asia

Clinical Research in Asia
  • Author : U Sahoo
  • Publisher :Unknown
  • Release Date :2012-05-25
  • Total pages :412
  • ISBN : 9781908818133
GET BOOK HERE

Summary : Asia is increasingly taking on a leading role in the fields of Good Clinical Practice (GCP) and ethics, two areas that are central to clinical research practices worldwide. Clinical research in Asia examines the evolution of these key sectors in the Asian countries where the greatest developments are taking place, offering valuable perspectives on a wide range of issues affecting clinical research. Following an introduction that provides an overview of the topic and its strengths and weaknesses, each chapter of the book is devoted to clinical research in a specific country, focusing on issues including the history and evolution of clinical research, clinical trials and regulatory aspects. The chapters also offer a perspective on future trends in clinical research in each country. The book concludes with a discussion of the importance of political, economic, socio-cultural, technological, legal and environmental factors (PESTLE analysis). Analysis from a leading and highly respected professional in the sector An overview of country-specific regulatory environments Discussion of challenges and solutions for clinical research

An Introduction to Pharmaceutical Sciences

An Introduction to Pharmaceutical Sciences
  • Author : Jiben Roy
  • Publisher :Unknown
  • Release Date :2011-07-25
  • Total pages :446
  • ISBN : 9781908818041
GET BOOK HERE

Summary : This textbook is written as a unified approach to various topics, ranging from drug discovery to manufacturing, techniques and technology, regulation and marketing. The key theme of the book is pharmaceuticals - what every student of pharmaceutical sciences should know: from the active pharmaceutical ingredients to the preparation of various dosage forms along with the relevant chemistry, this book makes pharmaceuticals relevant to undergraduate students of pharmacy and pharmaceutical sciences. This book explains how a particular drug was discovered and then converted from lab-scale to manufacturing scale, to the market. It explains the motivation for drug discovery, the reaction chemistry involved, experimental difficulties, various dosage forms and the reasoning behind them, mechanism of action, quality assurance and role of regulatory agencies. After having a course based on this book, the student will be able to understand: 1) the career prospects in the pharmaceutical industry, 2) the need for interdisciplinary teamwork in science, 3) the techniques and technology involved in making pharmaceuticals starting from bulk drugs, and 4) different dosage forms and critical factors in the development of pharmaceutical formulations in relation to the principles of chemistry. A few blockbuster drugs including atorvastatin, sildanefil, ranitidine, ciprofloxacin, amoxicillin, and the longest serving drugs such as aspirin and paracetamol are discussed in detail. Finally, the book also covers the important current pharmaceutical issues like quality control, safety, counterfeiting and abuse of drugs, and future prospects for pharmaceutical industry. Unified approach explaining drug discovery, bulk drug manufacturing, formulation of dosage forms, with pharmacological and therapeutic actions Manufacturing processes of representative active pharmaceutical ingredients and their chemistry plus formulation of dosage forms presented in this book are based on actual industrial processes Covers many aspects relevant to students of the pharmaceutical sciences or newly employed pharmaceutical researchers/employees. It contains summary information about regulatory agencies of different countries

Statistical Bioinformatics

Statistical Bioinformatics
  • Author : Jae K. Lee
  • Publisher :Unknown
  • Release Date :2011-09-20
  • Total pages :364
  • ISBN : 9781118211526
GET BOOK HERE

Summary : This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.

Gene therapy

Gene therapy
  • Author : Surendra Nimesh
  • Publisher :Unknown
  • Release Date :2013-10-31
  • Total pages :380
  • ISBN : 9781908818645
GET BOOK HERE

Summary : Gene therapy is emerging as a new class of therapeutics for the treatment of inherited and acquired diseases. However, poor cellular uptake and instability of DNA in the physiological milieu limits its therapeutic potential, hence a vector which can protect and efficiently transport DNA to the target cells must be developed. Nanotechnology-based non-viral vectors have been proposed as potential candidates. Various polymeric nanoparticles have been shown to be suitable, with high cellular uptake efficiencies and reduced cytotoxicity. These delivery vectors form condensed complexes with DNA which result in shielding against enzymatic degradation and enhanced cellular targeting. Advantages including easy manipulatibility, high stability, low cost and high payload, mean that nanoparticles from various polymers have been exploited. Gene therapy gives a systematic account of the many aspects of nanotechnology mediated gene therapy, from the preparation of nanoparticles to physicochemical characterization, and follows with applications in in vitro and in vivo models. This book emphasizes the various aspects of nanotechnology-based gene therapy, with initial chapters detailing the tools and techniques available for preparation and in vitro and in vivo characterization of nanoparticles. Later chapters provide exhaustive details on polymeric systems employed for gene therapy. Provides an overview of nanotechnology applications in gene therapy, from preparation of nanoparticles to in vitro and in vivo studies Details the tools and techniques available for preparation, characterization and in vitro and in vivo study of nanoparticles Details the limitations of nanoparticle-mediated gene therapy and proposes ways in which they may be overcome

Drug-Biomembrane Interaction Studies

Drug-Biomembrane Interaction Studies
  • Author : Rosario Pignatello
  • Publisher :Unknown
  • Release Date :2013-10-31
  • Total pages :440
  • ISBN : 9781908818348
GET BOOK HERE

Summary : The design and development of drugs and new pharmaceutical formulations require a full characterization of the chemical and physicochemical events occurring at the level of the single active ingredients or excipients, as well as their reciprocal interaction. Thermal analysis techniques are among the most widely used methods to achieve this; among them, the Differential Scanning Calorimetry (DSC) technique, in which the thermotropic behaviour of a single substance or mixtures is analyzed as a function of a controlled temperature program. DSC is an accurate and rapid thermo-analytical technique, widely used by the pharmaceutical industry and in drug research to investigate several physico-chemical phenomena, such as polymorphism, melting and crystallization, purity, and drug-excipient interaction; as well as characterizing biomolecules such as genetic material. Drug-biomembrane interaction studies is written by scientists renowned for their work in the field of DSC applications to drug development and delivery, and especially to drug-biomembrane interaction studies. The book combines insights from biochemistry and physiology with those from structural biology, nanotechnology and biothermodynamics, to obtain a complete depiction of cell membranes and their functions. Summarizes and updates the recent development in a unique handbook format Consists of a combination of scientific updates within the field Contains chapters written by some of the highest-level experts in the field of DSC

OMICS

OMICS
  • Author : Debmalya Barh,Kenneth Blum,Margaret A. Madigan
  • Publisher :Unknown
  • Release Date :2016-04-19
  • Total pages :622
  • ISBN : 9781439850091
GET BOOK HERE

Summary : A reflection of the explosion of research and development in this field, OMICS: Biomedical Perspectives and Applications explores applications of omics in bioinformatics, cancer research and therapy, diabetes research, plant science, molecular biology, and neurosciences. A select editorial panel of experts discusses their cutting edge omics research and novel technologies, supplying a basic platform of methods and applications and a resource for enhanced cross-pollination in a multiomics approach to future endeavors in the fertile fields of omics research. After an introduction on the omics universe, the book presents modern omics and its applications in nanotechnology, genomics, proteomics, metagenomics, toxicogenomics, immunomics, nutrigenomics, diabetes, neurology, cardiology, and cancer to name just a few. The book begins with an overview of omics and omic technologies such as cellomics, glycomics, and lipidomics. It also discusses bioinformatics, demonstrating how it can be a tool in omics, and examines the various approaches of omics technology in toxicology research and applications in biomedical sciences. While there are a long list of omics books available, most focus narrowly on one area. Presenting a wide view of the current status of integrative omics, this resource contains complete coverage of omics in research and therapy, ranging from neuroscience to cardiology. It collates recent developments in the field into a state-of-the-art framework for this discipline.

Evolution of Translational Omics

Evolution of Translational Omics
  • Author : Institute of Medicine,Board on Health Sciences Policy,Board on Health Care Services,Committee on the Review of Omics-Based Tests for Predicting Patient Outcomes in Clinical Trials
  • Publisher :Unknown
  • Release Date :2012-09-13
  • Total pages :354
  • ISBN : 9780309224185
GET BOOK HERE

Summary : Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

Bioinformatics Methods in Clinical Research

Bioinformatics Methods in Clinical Research
  • Author : Rune Matthiesen
  • Publisher :Unknown
  • Release Date :2012-03-01
  • Total pages :390
  • ISBN : 1617796700
GET BOOK HERE

Summary : Integrated bioinformatics solutions have become increasingly valuable in past years, as technological advances have allowed researchers to consider the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes, and as the costs of such techniques have begun to lessen. In Bioinformatics Methods in Clinical Research, experts examine the latest developments impacting clinical omics, and describe in great detail the algorithms that are currently used in publicly available software tools. Chapters discuss statistics, algorithms, automated methods of data retrieval, and experimental consideration in genomics, transcriptomics, proteomics, and metabolomics. Composed in the highly successful Methods in Molecular BiologyTM series format, each chapter contains a brief introduction, provides practical examples illustrating methods, results, and conclusions from data mining strategies wherever possible, and includes a Notes section which shares tips on troubleshooting and avoiding known pitfalls. Informative and ground-breaking, Bioinformatics Methods in Clinical Research establishes a much-needed bridge between theory and practice, making it an indispensable resource for bioinformatics researchers.

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine
  • Author : Qing Yan
  • Publisher :Unknown
  • Release Date :2017-04-18
  • Total pages :182
  • ISBN : 9780128043882
GET BOOK HERE

Summary : Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies. The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine. Introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine Presents a problem-solving oriented methodology to deal with practical problems in various applications Covers both basic scientific and clinical applications in order to enhance the collaboration between researchers and clinicians Brings integrative and multidisciplinary approaches to bridge the gaps among various knowledge domains in the field

Comprehensive Biomedical Physics

Comprehensive Biomedical Physics
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :2014-07-25
  • Total pages :4056
  • ISBN : 9780444536334
GET BOOK HERE

Summary : Comprehensive Biomedical Physics is a new reference work that provides the first point of entry to the literature for all scientists interested in biomedical physics. It is of particularly use for graduate and postgraduate students in the areas of medical biophysics. This Work is indispensable to all serious readers in this interdisciplinary area where physics is applied in medicine and biology. Written by leading scientists who have evaluated and summarized the most important methods, principles, technologies and data within the field, Comprehensive Biomedical Physics is a vital addition to the reference libraries of those working within the areas of medical imaging, radiation sources, detectors, biology, safety and therapy, physiology, and pharmacology as well as in the treatment of different clinical conditions and bioinformatics. This Work will be valuable to students working in all aspect of medical biophysics, including medical imaging and biomedical radiation science and therapy, physiology, pharmacology and treatment of clinical conditions and bioinformatics. The most comprehensive work on biomedical physics ever published Covers one of the fastest growing areas in the physical sciences, including interdisciplinary areas ranging from advanced nuclear physics and quantum mechanics through mathematics to molecular biology and medicine Contains 1800 illustrations, all in full color

Big Data Analysis for Bioinformatics and Biomedical Discoveries

Big Data Analysis for Bioinformatics and Biomedical Discoveries
  • Author : Shui Qing Ye
  • Publisher :Unknown
  • Release Date :2016-01-13
  • Total pages :274
  • ISBN : 9781498724548
GET BOOK HERE

Summary : Demystifies Biomedical and Biological Big Data Analyses Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.