Bioinformatics For Diagnosis Prognosis And Treatment Of Complex Diseases

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Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases

Author : Bairong Shen
Publisher : Springer Science & Business Media
Page : 220 pages
File Size : 51,9 Mb
Release : 2013-11-25
Category : Science
ISBN : 9789400779754

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Bioinformatics for Diagnosis, Prognosis and Treatment of Complex Diseases by Bairong Shen Pdf

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.

Essentials of Bioinformatics, Volume II

Author : Noor Ahmad Shaik,Khalid Rehman Hakeem,Babajan Banaganapalli,Ramu Elango
Publisher : Springer Nature
Page : 309 pages
File Size : 48,8 Mb
Release : 2019-10-18
Category : Science
ISBN : 9783030183752

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Essentials of Bioinformatics, Volume II by Noor Ahmad Shaik,Khalid Rehman Hakeem,Babajan Banaganapalli,Ramu Elango Pdf

Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies.

Cancer Genomics

Author : Ulrich Pfeffer
Publisher : Springer
Page : 596 pages
File Size : 41,9 Mb
Release : 2013-02-17
Category : Cancer
ISBN : 940075843X

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Cancer Genomics by Ulrich Pfeffer Pdf

Allergy Bioinformatics

Author : Ailin Tao,Eyal Raz
Publisher : Springer
Page : 251 pages
File Size : 43,5 Mb
Release : 2015-11-05
Category : Science
ISBN : 9789401774444

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Allergy Bioinformatics by Ailin Tao,Eyal Raz Pdf

The book introduces the bioinformatics resources and tools available for the study of allergenicity. Allergy symptoms affect more than 25% of the population in industrialized countries. At the same time, biotechnology is a rapidly developing field, which often involves the introduction of potentially allergenic novel proteins into drugs or foods. It is essential to avoid transferring a gene that encodes a major allergenic protein (from any source) into a drug/food crop that did not previously contain that protein. Accurately distinguishing candidate genes from allergens before transferring them into a drug or food would aid preventive efforts to curb the rising incidence of allergies. Several public databases have been created in response to increasing allergen data. The resources provided by these databases have paved the way for the creation of specialized bioinformatics tools that allow allergenicity to be predicted. The book is a useful resource for biologists and biomedical informatics scientists, as well as clinicians. Dr. Ailin Tao is the chief of Guangdong Province Key Laboratory of Allergy & Clinical Immunology, Principal Investigator of the State Key Laboratory of Respiratory Disease, the Second Affiliated Hospital of Guangzhou Medical University; Dr. Prof. Eyal Raz is a Professor of Medicine at University of California, San Diego, La Jolla, California, USA. They collaborate very well on allergy research and this book editi ng.

Bioinformatics Tools for Pharmaceutical Drug Product Development

Author : Vivek Chavda,K. Anand,Vasso Apostolopoulos
Publisher : John Wiley & Sons
Page : 452 pages
File Size : 46,7 Mb
Release : 2023-03-14
Category : Medical
ISBN : 9781119865117

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Bioinformatics Tools for Pharmaceutical Drug Product Development by Vivek Chavda,K. Anand,Vasso Apostolopoulos Pdf

BIOINFORMATICS TOOLS FOR Pharmaceutical DRUG PRODUCT DLEVELOPMENT A timely book that details bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies, for drug development in the pharmaceutical and medical sciences industries. The book contains 17 chapters categorized into 3 sections. The first section presents the latest information on bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies. The following 2 sections include bioinformatics tools for the pharmaceutical sector and the healthcare sector. Bioinformatics brings a new era in research to accelerate drug target and vaccine design development, improving validation approaches as well as facilitating and identifying side effects and predicting drug resistance. As such, this will aid in more successful drug candidates from discovery to clinical trials to the market, and most importantly make it a more cost-effective process overall. Readers will find in this book: Applications of bioinformatics tools for pharmaceutical drug product development like process development, pre-clinical development, clinical development, commercialization of the product, etc.; The ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach; The broad and deep background, as well as updates, on recent advances in both medicine and AI/ML that enable the application of these cutting-edge bioinformatics tools. Audience The book will be used by researchers and scientists in academia and industry including drug developers, computational biochemists, bioinformaticians, immunologists, pharmaceutical and medical sciences, as well as those in artificial intelligence and machine learning.

Computational and Statistical Epigenomics

Author : Andrew E. Teschendorff
Publisher : Springer
Page : 217 pages
File Size : 49,6 Mb
Release : 2015-05-12
Category : Science
ISBN : 9789401799270

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Computational and Statistical Epigenomics by Andrew E. Teschendorff Pdf

This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emerged as a key area of molecular biology, epidemiology and genome medicine. Epigenomics not only offers us a deeper understanding of fundamental cellular biology, but also provides us with the basis for an improved understanding and management of complex diseases. From novel biomarkers for risk prediction, early detection, diagnosis and prognosis of common diseases, to novel therapeutic strategies, epigenomics is set to play a key role in the personalized medicine of the future. In this book we introduce the reader to some of the most important computational and statistical methods for analyzing epigenomic data, with a special focus on DNA methylation. Topics include normalization, correction for cellular heterogeneity, batch effects, clustering, supervised analysis and integrative methods for systems epigenomics. This book will be of interest to students and researchers in bioinformatics, biostatistics, biologists and clinicians alike. Dr. Andrew E. Teschendorff is Head of the Computational Systems Genomics Lab at the CAS-MPG Partner Institute for Computational Biology, Shanghai, China, as well as an Honorary Research Fellow at the UCL Cancer Institute, University College London, UK.

Genomics and Proteomics for Clinical Discovery and Development

Author : György Marko-Varga
Publisher : Springer
Page : 282 pages
File Size : 49,6 Mb
Release : 2014-08-26
Category : Science
ISBN : 9789401792028

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Genomics and Proteomics for Clinical Discovery and Development by György Marko-Varga Pdf

The book is intended to be a resource for students as well as scientists in education and for the general public to learn about proteomics and genomics. Chromosomes form the basis for our genetic heritage and are the code for protein synthesis. The Human Genome Map came out in 2002, and the Proteome Sequence Map is under currently being created by a global consortia initiative. Proteome and genome building blocks already form the basis of scientific research areas as well as large parts of the pharmaceutical and biomedical industry. The book initiative will provide the background to and our current understanding of these gene and protein areas, as well as describe how cutting-edge science is using these resources to develop new medicines and new diagnostics for patient care and treatment. The book will be useful for undergraduate students as well as university students and researchers who need a good understanding of genomics and proteomics within the clinical field. The book will also be targeted at a broad public as well as readers not specialized within this field. Dr. Marko-Varga is the head of the Head of Div. Clinical Protein Science & Imaging at the Biomedical Center, Dept. of Measurement Technology and Industrial Electrical Engineering, Lund University, and Professor at the 1st Department of Surgery, Tokyo Medical University, Tokyo, Japan.

Single Cell Sequencing and Systems Immunology

Author : Xiangdong Wang
Publisher : Springer
Page : 177 pages
File Size : 44,9 Mb
Release : 2015-03-27
Category : Medical
ISBN : 9789401797535

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Single Cell Sequencing and Systems Immunology by Xiangdong Wang Pdf

The volume focuses on the genomics, proteomics, metabolomics, and bioinformatics of a single cell, especially lymphocytes and on understanding the molecular mechanisms of systems immunology. Based on the author’s personal experience, it provides revealing insights into the potential applications, significance, workflow, comparison, future perspectives and challenges of single-cell sequencing for identifying and developing disease-specific biomarkers in order to understand the biological function, activation and dysfunction of single cells and lymphocytes and to explore their functional roles and responses to therapies. It also provides detailed information on individual subgroups of lymphocytes, including cell characters, function, surface markers, receptor function, intracellular signals and pathways, production of inflammatory mediators, nuclear receptors and factors, omics, sequencing, disease-specific biomarkers, bioinformatics, networks and dynamic networks, their role in disease and future prospects. Dr. Xiangdong Wang is a Professor of Medicine, Director of Shanghai Institute of Clinical Bioinformatics, Director of Fudan University Center for Clinical Bioinformatics, Director of the Biomedical Research Center of Zhongshan Hospital, Deputy Director of Shanghai Respiratory Research Institute, Shanghai, China.

Big Data Analytics in Bioinformatics and Healthcare

Author : Wang, Baoying
Publisher : IGI Global
Page : 528 pages
File Size : 48,9 Mb
Release : 2014-10-31
Category : Computers
ISBN : 9781466666122

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Big Data Analytics in Bioinformatics and Healthcare by Wang, Baoying Pdf

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Personalizing Precision Medicine

Author : Kristin Ciriello Pothier
Publisher : John Wiley & Sons
Page : 228 pages
File Size : 47,6 Mb
Release : 2017-08-30
Category : Medical
ISBN : 9781118792124

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Personalizing Precision Medicine by Kristin Ciriello Pothier Pdf

The author uses decades of experience and interviews with experts in precision medicine to explain past, present, and future of precision medicine. She reviews the full continuum of personalizing precision medicine, including diagnostics, therapeutics, big data, supportive care, regulation, and reimbursement and innovation in precision medicine worldwide. • Combines a unique cross section of history, current technologies, and future directions for how precision medicine has and will affect people worldwide • Reviews precision medicine around the world, including the US, China, Japan, the Middle East, India, Europe, and Latin America • Discusses a number of diseases areas – cancer, cardiovascular, neurodegenerative, infectious disease, pain, immunology, rare diseases • Includes information and quotes from over 100 interviews with key industry experts in biotech, pharma, informatics, diagnostics, health providers, advocacy groups, and more. • Includes stories illustrating current issues and future promises in precision medicine for a human touch

Computational Epigenetics and Diseases

Author : Anonim
Publisher : Academic Press
Page : 450 pages
File Size : 44,9 Mb
Release : 2019-02-06
Category : Business & Economics
ISBN : 9780128145142

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Computational Epigenetics and Diseases by Anonim Pdf

Computational Epigenetics and Diseases, written by leading scientists in this evolving field, provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases. In particular, the major computational tools, databases, and strategies for computational epigenetics analysis, for example, DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA, are summarized, in the context of human diseases. This book discusses bioinformatics methods for epigenetic analysis specifically applied to human conditions such as aging, atherosclerosis, diabetes mellitus, schizophrenia, bipolar disorder, Alzheimer disease, Parkinson disease, liver and autoimmune disorders, and reproductive and respiratory diseases. Additionally, different organ cancers, such as breast, lung, and colon, are discussed. This book is a valuable source for graduate students and researchers in genetics and bioinformatics, and several biomedical field members interested in applying computational epigenetics in their research. Provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases Summarizes the major computational tools, databases, and strategies for computational epigenetics analysis, such as DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA Covers the major milestones and future directions of computational epigenetics in various kinds of human diseases such as aging, atherosclerosis, diabetes, heart disease, neurological disorders, cancers, blood disorders, liver diseases, reproductive diseases, respiratory diseases, autoimmune diseases, human imprinting disorders, and infectious diseases

Non-coding RNAs in Complex Diseases

Author : Xia Li,Juan Xu,Yun Xiao,Shangwei Ning,Yunpeng Zhang
Publisher : Springer
Page : 126 pages
File Size : 42,5 Mb
Release : 2018-09-06
Category : Science
ISBN : 9789811307195

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Non-coding RNAs in Complex Diseases by Xia Li,Juan Xu,Yun Xiao,Shangwei Ning,Yunpeng Zhang Pdf

This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas. Prof. Xia Li is a Professor and the Dean of College of Bioinformatics Science and Technology, Harbin Medical University, China. Dr. Yun Xiao, Dr. Juan Xu, Dr. Shangwei Ning and Dr. Yunpeng Zhang are from College of Bioinformatics Science and Technology, Harbin Medical University, China.

Dissecting the Pathogenesis of Complex Diseases based on Genome Variation to Promote the Development of Precision Medicine

Author : Peng Wang,Xinyi Liu,Fan Zhang,Hui Zhi
Publisher : Frontiers Media SA
Page : 121 pages
File Size : 54,6 Mb
Release : 2022-09-22
Category : Science
ISBN : 9782832500378

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Dissecting the Pathogenesis of Complex Diseases based on Genome Variation to Promote the Development of Precision Medicine by Peng Wang,Xinyi Liu,Fan Zhang,Hui Zhi Pdf

Computational Methods in Predicting Complex Disease Associated Genes and Environmental Factors

Author : Yudong Cai,Jialiang Yang,Tao Huang,Minxian Wallace Wang
Publisher : Frontiers Media SA
Page : 212 pages
File Size : 50,5 Mb
Release : 2021-06-11
Category : Science
ISBN : 9782889668755

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Computational Methods in Predicting Complex Disease Associated Genes and Environmental Factors by Yudong Cai,Jialiang Yang,Tao Huang,Minxian Wallace Wang Pdf

Translational ADMET for Drug Therapy

Author : Souzan B. Yanni
Publisher : John Wiley & Sons
Page : 353 pages
File Size : 48,8 Mb
Release : 2015-10-12
Category : Medical
ISBN : 9781118838273

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Translational ADMET for Drug Therapy by Souzan B. Yanni Pdf

Serving as a practical handbook about ADMET for drug therapy, this book presents effective technologies, methods, applications, data interpretation, and decision-making tactics for pharmaceutical and preclinical scientists. Chapters cover case studies and in vivo, in vitro, and computational tools for drug discovery and development, with new translational approaches to clinical drug investigations in various human populations. Illustrates ADME properties, from bedside to bench and bench to bedside, for the design of safe and effective medicine in human populations Provides examples that demonstrate the integration of in vitro, in vivo, and in silico data to address human PKPD and TKTD and help determine the proper therapeutic dosage Presents successful tools for evaluating drugs and covers current translational ADMET with regulatory guidelines Offers a hands-on manual for researchers and scientists to design and execute in vitro, in silico, preclinical, and clinical studies Includes discussion of IND / NDA filing and drug labeling to support drug registration and approval