Author: Yudong Cai
Publisher: Frontiers Media SA
ISBN: 2889668754
Category : Science
Languages : en
Pages : 212

View

Book Description

Author:
Publisher: Academic Press
ISBN: 0128145145
Category : Medical
Languages : en
Pages : 452

View

Book Description
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

Author:
Publisher: Academic Press
ISBN: 0123808634
Category : Science
Languages : en
Pages : 211

View

Book Description
The field of genetics is rapidly evolving, and new medical breakthroughs are occurring as a result of advances in knowledge gained from genetics reasearch. This thematic volume of Advances in Genetics looks at Computational Methods for Genetics of Complex traits. - Explores the latest topics in neural circuits and behavior research in zebrafish, drosophila, C.elegans, and mouse models - Includes methods for testing with ethical, legal, and social implications - Critically analyzes future prospects

Author: Xiangxiang Zeng
Publisher: MDPI
ISBN: 3039211951
Category : Science
Languages : en
Pages : 390

View

Book Description
This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.

Author: Miguel Rocha
Publisher: Springer Nature
ISBN: 3030862585
Category : Technology & Engineering
Languages : en
Pages : 188

View

Book Description
This book features novel research papers spanning many different subfields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. PACBB'21 expects to contribute to this effort by encouraging a successful collaboration of researchers in different areas related to bioinformatics. The PACBB'21 technical program included 17 papers covering many different subfields in bioinformatics and computational biology. Therefore, this conference, held in Salamanca (Spain), definitely promotes the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions for these challenges.

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

View

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.

Author: Pierre Baldi
Publisher: MIT Press (MA)
ISBN: 9780262024426
Category : Biomolecules
Languages : en
Pages : 351

View

Book Description
An unprecedented wealth of data is being generated by genome sequencing projects and other experimental efforts to determine the structure and function of biological molecules. The demands and opportunities for interpreting these data are expanding more than ever. Biotechnology, pharmacology, and medicine will be particularly affected by the new results and the increased understanding of life at the molecular level. Bioinformatics is the development and application of computer methods for analysis, interpretation, and prediction, as well as for the design of experiments. It has emerged as a strategic frontier between biology and computer science. Machine learning approaches (e.g., neural networks, hidden Markov models, and belief networks) are ideally suited for areas where there is a lot of data but little theory—and this is exactly the situation in molecular biology. As with its predecessor, statistical model fitting, the goal in machine learning is to extract useful information from a body of data by building good probabilistic models. The particular twist behind machine learning, however, is to automate the process as much as possible. In this book, Pierre Baldi and Soren Brunak present the key machine learning approaches and apply them to the computational problems encountered in the analysis of biological data. The book is aimed at two types of researchers and students. First are the biologists and biochemists who need to understand new data-driven algorithms, such as neural networks and hidden Markov models, in the context of biological sequences and their molecular structure and function. Second are those with a primary background in physics, mathematics, statistics, or computer science who need to know more about specific applications in molecular biology.

Author: Edenilson Brandl
Publisher: Edenilson Brandl
ISBN:
Category : Psychology
Languages : en
Pages : 589

View

Book Description
Living with a chronic condition like hemophilia is not just a physical challenge; it impacts every aspect of life—emotional, psychological, and social. Hemophilia, a genetic disorder affecting the blood’s ability to clot properly, requires individuals to navigate a complex web of medical treatments, lifestyle adjustments, and emotional hurdles. For many, the weight of managing a genetic condition can lead to feelings of isolation, anxiety, and depression. This book, "Psychological Support by Cognitive Behavioral Therapy for Hemophilia," was written with the purpose of providing a comprehensive approach to address not only the physical but also the psychological aspects of living with hemophilia. By merging insights from genetics, biology, and psychology, particularly through the lens of Cognitive Behavioral Therapy (CBT), this book seeks to empower individuals with hemophilia to develop coping strategies, manage emotional distress, and lead fulfilling lives despite their condition. Cognitive Behavioral Therapy has been widely recognized as an effective therapeutic approach for managing a variety of mental health challenges, and it offers valuable tools for those grappling with the emotional and psychological burdens of chronic illness. This book covers essential topics such as trauma, genetic counseling, independence in one’s genetic journey, and the practical application of CBT techniques. By addressing both the biological underpinnings of hemophilia and the cognitive and emotional toll it takes, this book aims to create a balanced and supportive guide for patients, caregivers, and mental health professionals alike. In the chapters that follow, we explore the intricate connection between mind and body, offering both theoretical knowledge and practical tools to manage the emotional impact of hemophilia. From learning how to manage pain and fatigue, to developing strategies for mental resilience and emotional regulation, this book is designed to be a go-to resource for anyone affected by hemophilia. It is my hope that this book provides a source of comfort, guidance, and empowerment to those living with hemophilia, helping them to navigate their journey with greater confidence, mental fortitude, and emotional well-being.

Author: Tomasz G. Smolinski
Publisher: Springer
ISBN: 3540707786
Category : Technology & Engineering
Languages : en
Pages : 439

View

Book Description
The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.

Author: Richard C. Deonier
Publisher: Springer Science & Business Media
ISBN: 0387288074
Category : Computers
Languages : en
Pages : 543

View

Book Description
This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.