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Bioinformatics and Biomarker Discovery

Bioinformatics and Biomarker Discovery PDF Author: Francisco Azuaje
Publisher: John Wiley & Sons
ISBN: 111996430X
Category : Science
Languages : en
Pages : 206

Book Description
This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems. The focus of the book is on how fundamental statistical and data mining approaches can support biomarker discovery and evaluation, emphasising applications based on different types of "omic" data. The book also discusses design factors, requirements and techniques for disease screening, diagnostic and prognostic applications. Readers are provided with the knowledge needed to assess the requirements, computational approaches and outputs in disease biomarker research. Commentaries from guest experts are also included, containing detailed discussions of methodologies and applications based on specific types of "omic" data, as well as their integration. Covers the main range of data sources currently used for biomarker discovery Covers the main range of data sources currently used for biomarker discovery Puts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applications Offers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studies Discusses systems biology approaches and applications Includes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations

Bioinformatics and Biomarker Discovery

Bioinformatics and Biomarker Discovery PDF Author: Francisco Azuaje
Publisher: John Wiley & Sons
ISBN: 111996430X
Category : Science
Languages : en
Pages : 206

Book Description
This book is designed to introduce biologists, clinicians and computational researchers to fundamental data analysis principles, techniques and tools for supporting the discovery of biomarkers and the implementation of diagnostic/prognostic systems. The focus of the book is on how fundamental statistical and data mining approaches can support biomarker discovery and evaluation, emphasising applications based on different types of "omic" data. The book also discusses design factors, requirements and techniques for disease screening, diagnostic and prognostic applications. Readers are provided with the knowledge needed to assess the requirements, computational approaches and outputs in disease biomarker research. Commentaries from guest experts are also included, containing detailed discussions of methodologies and applications based on specific types of "omic" data, as well as their integration. Covers the main range of data sources currently used for biomarker discovery Covers the main range of data sources currently used for biomarker discovery Puts emphasis on concepts, design principles and methodologies that can be extended or tailored to more specific applications Offers principles and methods for assessing the bioinformatic/biostatistic limitations, strengths and challenges in biomarker discovery studies Discusses systems biology approaches and applications Includes expert chapter commentaries to further discuss relevance of techniques, summarize biological/clinical implications and provide alternative interpretations

Comprehensive Biomarker Discovery and Validation for Clinical Application

Comprehensive Biomarker Discovery and Validation for Clinical Application PDF Author: Péter Horvatovich
Publisher: Royal Society of Chemistry
ISBN: 1849734364
Category : Science
Languages : en
Pages : 385

Book Description
This book focuses on proteomics biomarker discovery and validation procedures from the clinical perspective. It provides an overview of current technology and the challenges encountered throughout the process. This covers all key stages, from biomarker discovery and validation, through to registration with the European and US regulatory authorities (FDA and EMEA). All the important elements (such as patient selection, sample handling, data processing, and statistical analysis) are described in detail and the reader is introduced to each topic with well-described examples or guidelines for best practice. Case studies are also included to demonstrate clinical applications. Individual chapters explain the best performing techniques for profiling complex body fluids and biomarker discovery. This includes the application of mass spectrometry imaging combined with chromatography in profiling platforms and the use of laser micro dissection and MALDI imaging to study tissues in their natural environment. Future developments needed to improve the success rate of translating biomarker discovery into useful clinical tests are also discussed. Common pitfalls and success stories are described as are the limitations of the various technologies involved. Broad and interdisciplinary in approach, this book provides an excellent source of information for industrial and academic researchers, and those managing biobanks.

Proteomic and Metabolomic Approaches to Biomarker Discovery

Proteomic and Metabolomic Approaches to Biomarker Discovery PDF Author: Haleem J. Issaq
Publisher: Academic Press
ISBN: 0123947952
Category : Science
Languages : en
Pages : 489

Book Description
Proteomic and Metabolomic Approaches to Biomarker Discovery demonstrates how to leverage biomarkers to improve accuracy and reduce errors in research. Disease biomarker discovery is one of the most vibrant and important areas of research today, as the identification of reliable biomarkers has an enormous impact on disease diagnosis, selection of treatment regimens, and therapeutic monitoring. Various techniques are used in the biomarker discovery process, including techniques used in proteomics, the study of the proteins that make up an organism, and metabolomics, the study of chemical fingerprints created from cellular processes. Proteomic and Metabolomic Approaches to Biomarker Discovery is the only publication that covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods, and presents a standard operating procedure for sample selection, preparation, and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. A vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals, and graduate students, Proteomic and Metabolomic Approaches to Biomarker Discovery provides the information needed to reduce clinical error in the execution of research. - Describes the use of biomarkers to reduce clinical errors in research - Includes techniques from a range of biomarker discoveries - Covers all steps involved in biomarker discovery, from study design to study execution

Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis

Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis PDF Author: George G. Harrigan
Publisher: Springer Science & Business Media
ISBN: 1461503337
Category : Science
Languages : en
Pages : 342

Book Description
It is evident that biochemical control is not strictly hierarchical and that intermediary metabolism can contribute to control of regulatory pathways. Metabolic studies are therefore increasingly important in gene function analyses, and an increased interest in metabolites as biomarkers for disease progression or response to therapeutic intervention is also evident in the pharmaceutical industry. This book offers guidelines to currently available technology and bioinformatics and database strategies now being developed. Evidence is presented that metabolic profiling is a valuable addition to genomics and proteomics strategies devoted to drug discovery and development, and that metabolic profiling offers numerous advantages.

Proteomics for Biomarker Discovery

Proteomics for Biomarker Discovery PDF Author: Virginie Brun
Publisher: Humana Press
ISBN: 9781493991631
Category : Science
Languages : en
Pages : 293

Book Description
This volume presents modern and enhanced methods that detail techniques to perform proteomics analyses dedicated to biomarker discovery for human health. Chapters guide readers through pre/post analytical factors, protocols for the preparation of extracellular vesicles and exosomes, and various analytical pipelines including Data Independent Acquisition (DIA), discovery, as well as targeted and top-down proteomics analysis workflows. Bioinformatics tools and workflows to select and evaluate candidate biomarkers or combinations of biomarkers are also presented. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Proteomics for Biomarker Discovery: Methods and Protocols aims to ensure successful results in the further study of this vital field.

Biomarkers in Drug Development

Biomarkers in Drug Development PDF Author: Michael R. Bleavins
Publisher: John Wiley & Sons
ISBN: 1118210425
Category : Medical
Languages : en
Pages : 559

Book Description
Discover how biomarkers can boost the success rate of drug development efforts As pharmaceutical companies struggle to improve the success rate and cost-effectiveness of the drug development process, biomarkers have emerged as a valuable tool. This book synthesizes and reviews the latest efforts to identify, develop, and integrate biomarkers as a key strategy in translational medicine and the drug development process. Filled with case studies, the book demonstrates how biomarkers can improve drug development timelines, lower costs, facilitate better compound selection, reduce late-stage attrition, and open the door to personalized medicine. Biomarkers in Drug Development is divided into eight parts: Part One offers an overview of biomarkers and their role in drug development. Part Two highlights important technologies to help researchers identify new biomarkers. Part Three examines the characterization and validation process for both drugs and diagnostics, and provides practical advice on appropriate statistical methods to ensure that biomarkers fulfill their intended purpose. Parts Four through Six examine the application of biomarkers in discovery, preclinical safety assessment, clinical trials, and translational medicine. Part Seven focuses on lessons learned and the practical aspects of implementing biomarkers in drug development programs. Part Eight explores future trends and issues, including data integration, personalized medicine, and ethical concerns. Each of the thirty-eight chapters was contributed by one or more leading experts, including scientists from biotechnology and pharmaceutical firms, academia, and the U.S. Food and Drug Administration. Their contributions offer pharmaceutical and clinical researchers the most up-to-date understanding of the strategies used for and applications of biomarkers in drug development.

Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases PDF Author: Bairong Shen
Publisher: Springer Science & Business Media
ISBN: 9400779755
Category : Science
Languages : en
Pages : 219

Book Description
The book introduces the bioinformatics tools, databases and strategies for the translational research, focuses on the biomarker discovery based on integrative data analysis and systems biological network reconstruction. With the coming of personal genomics era, the biomedical data will be accumulated fast and then it will become reality for the personalized and accurate diagnosis, prognosis and treatment of complex diseases. The book covers both state of the art of bioinformatics methodologies and the examples for the identification of simple or network biomarkers. In addition, bioinformatics software tools and scripts are provided to the practical application in the study of complex diseases. The present state, the future challenges and perspectives were discussed. The book is written for biologists, biomedical informatics scientists and clinicians, etc. Dr. Bairong Shen is Professor and Director of Center for Systems Biology, Soochow University; he is also Director of Taicang Center for Translational Bioinformatics.

Kernel Methods in Computational Biology

Kernel Methods in Computational Biology PDF Author: Bernhard Schölkopf
Publisher: MIT Press
ISBN: 9780262195096
Category : Computers
Languages : en
Pages : 428

Book Description
A detailed overview of current research in kernel methods and their application to computational biology.

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine PDF Author: Qing Yan
Publisher: Academic Press
ISBN: 0128043881
Category : Computers
Languages : en
Pages : 184

Book Description
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

Evolution of Translational Omics

Evolution of Translational Omics PDF Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309224187
Category : Science
Languages : en
Pages : 354

Book Description
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.