Download or read book Bioinformatics and Biomarker Discovery written by Francisco Azuaje and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Cancer Biomarkers written by Mahmoud H. Hamdan and published by John Wiley & Sons. This book was released on 2007-04-23 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tools, techniques, and progress in cancer biomarkers discovery The completion of a number of gene sequencing projects, recent advances in genomic and proteomic technologies, and the availability of powerful bioinformatics tools have led to promising new avenues and approaches in the search for cancer biomarkers. This book provides a comprehensive overview of current methodologies and technologies. It discusses biomarker discovery as a whole, rather than focusing on one specific marker or cancer. With information on both existing and potential biomarkers, Cancer Biomarkers: Analytical Techniques for Discovery: * Provides insights into the current technological platforms for biomarker discovery, including mass spectrometry combined with multidimensional chromatography, DIGE, and various chip technologies * Includes a detailed discussion of protein networks and protein phosphorylation in cancer * Details the use of imaging mass spectrometry, laser capture microdissection, serial analysis of gene expression, enzyme-linked immunosorbent assays, protein microarrays, antibody-based microarrays, and bioinformatics * Covers the emerging role of surface-enhanced laser desorption ionization (SELDI) and various tagging and labeling strategies * Discusses related regulatory and ethical issues With a wealth of information that can be applied to a broad spectrum of biomarker research projects, this is a core reference for biomarker researchers, scientists working in proteomics and bioinformatics, pharmaceutical scientists, oncologists, biochemists, biologists, and chemists.
Download or read book Bioinformatics for Diagnosis Prognosis and Treatment of Complex Diseases written by Bairong Shen and published by Springer Science & Business Media. This book was released on 2013-11-25 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Proteomics for Biomarker Discovery written by Virginie Brun and published by Humana Press. This book was released on 2019-05-04 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Comprehensive Biomarker Discovery and Validation for Clinical Application written by Péter Horvatovich and published by Royal Society of Chemistry. This book was released on 2013-06-17 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Proteomic and Metabolomic Approaches to Biomarker Discovery written by Haleem J. Issaq and published by Academic Press. This book was released on 2013-05-20 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Bioinformatics of Human Proteomics written by Xiangdong Wang and published by Springer Science & Business Media. This book was released on 2013-01-26 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Bioinformatics of Human Proteomics” discusses the development of methods, techniques and applications in the field of protein bioinformatics, an important direction in bioinformatics. It collects contributions from expert researchers in order to provide a practical guide to this complex field of study. The book covers the protein interaction network, drug discovery and development, the relationship between translational medicine and bioinformatics, and advances in proteomic methods, while also demonstrating important bioinformatics tools and methods available today for protein analysis, interpretation and predication. It is intended for experts or senior researchers in the fields of clinical research-related biostatistics, bioinformatics, computational biology, medicine, statistics, system biology, molecular diagnostics, biomarkers, or drug discovery and development. Dr.Xiangdong Wang works as a distinguished professor of Respiratory Medicine at Fudan University, Shanghai, China. He serves as Director of Biomedical Research Center, Fudan University Zhongshan Hospital and adjunct professor of Clinical Bioinformatics at Lund University, Sweden. His main research is focused on the role of clinical bioinformatics in the development of disease-specific biomarkers and dynamic network biomarkers, the molecular mechanism of organ dysfunction and potential therapies.
Download or read book Bioinformatics Tools and Web Server for Cancer Biomarker Development written by Xiangqian Guo and published by Frontiers Media SA. This book was released on 2020-12-23 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Download or read book Metabolic Profiling Its Role in Biomarker Discovery and Gene Function Analysis written by George G. Harrigan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Biomarkers in Drug Development written by Michael R. Bleavins and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Biomarker Discovery and Clinical Outcome Prediction Using Knowledge based Bioinformatics written by John H. Phan and published by . This book was released on 2009 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Proteomic and Metabolomic Approaches to Biomarker Discovery written by Haleem J. Issaq and published by Academic Press. This book was released on 2019-10-24 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proteomic and Metabolomic Approaches to Biomarker Discovery, Second Edition 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. This second edition has been fully updated and revised to address recent advances in MS and NMR instrumentation, high-field NMR, proteomics and metabolomics for biomarker validation, clinical assays of biomarkers and clinical MS and NMR, identifying microRNAs and autoantibodies as biomarkers, MRM-MS assay development, top-down MS, glycosylation-based serum biomarkers, cell surface proteins in biomarker discovery, lipodomics for cancer biomarker discovery, and strategies to design studies to identify predictive biomarkers in cancer research. Addresses the full range of proteomic and metabolomic methods and technologies used for biomarker discovery and validation Covers all steps involved in biomarker discovery, from study design to study execution Serves as a vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals and graduate students
Download or read book Application of Bioinformatics in Cancers written by Chad Brenner and published by MDPI. This book was released on 2019-11-20 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.
Download or read book Computational Biology written by Tuan Pham and published by Springer Science & Business Media. This book was released on 2009-09-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers techniques in computational biology and their applications in oncology. It details advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, and image and pattern analysis applied to cancer research.
Download or read book Biomarker Validation written by Harald Seitz and published by John Wiley & Sons. This book was released on 2015-02-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Built on a decade of experience with novel molecular diagnostics, this practice-oriented guide shows how to cope with validation issues during all stages of biomarker development, from the first clinical studies to the eventual commercialization of a new diagnostic test.
Download or read book Data Mining for Biomarker Discovery written by Panos M. Pardalos and published by Springer Science & Business Media. This book was released on 2012-02-11 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques. This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.
Download or read book Proteomics for Biomarker Discovery written by Ming Zhou and published by . This book was released on 2013 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advent of proteomics came the development of technologies, primarily mass spectrometry, which allowed high-throughput identification of proteins in complex mixtures. While the mass spectrometer resides at the heart of proteomics, its ability to characterize biological samples is only as good as the sample preparation and data analysis tools used in any study. In Proteomics for Biomarker Discovery, expert researchers in the field detail many of the methods which are now commonly used to study proteomics. These methods and techniques include both label-free approaches and those that utilize stable isotopes incorporated both during cell growth or added via a chemical reaction once the proteome is extracted from the cell. 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 key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Proteomics for Biomarker Discovery seeks to aid scientists in the further study of the different sample preparation and data analysis tools used in proteomics today.