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| free pathway analysis tools: Biological Networks and Pathway Analysis Tatiana V. Tatarinova, Yuri Nikolsky, 2017-08-29 In this volume, expert practitioners present a compilation of methods of functional data analysis (often referred to as “systems biology”) and its applications in drug discovery, medicine, and basic disease research. It covers such important issues as the elucidation of protein, compound and gene interactions, as well as analytical tools, including networks, interactome and ontologies, and clinical applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology series, this work provides detailed description and hands-on implementation advice. Reputable, comprehensive, and cutting-edge, Biological Networks and Pathway Analysis presents both “wet lab” experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field. |
| free pathway analysis tools: Bioinformatics David Edwards, Jason Stajich, David Hansen, 2010-04-29 Bioinformatics is a relatively new field of research. It evolved from the requirement to process, characterize, and apply the information being produced by DNA sequencing technology. The production of DNA sequence data continues to grow exponentially. At the same time, improved bioinformatics such as faster DNA sequence search methods have been combined with increasingly powerful computer systems to process this information. Methods are being developed for the ever more detailed quantification of gene expression, providing an insight into the function of the newly discovered genes, while molecular genetic tools provide a link between these genes and heritable traits. Genetic tests are now available to determine the likelihood of suffering specific ailments and can predict how plant cultivars may respond to the environment. The steps in the translation of the genetic blueprint to the observed phenotype is being increasingly understood through proteome, metabolome and phenome analysis, all underpinned by advances in bioinformatics. Bioinformatics is becoming increasingly central to the study of biology, and a day at a computer can often save a year or more in the laboratory. The volume is intended for graduate-level biology students as well as researchers who wish to gain a better understanding of applied bioinformatics and who wish to use bioinformatics technologies to assist in their research. The volume would also be of value to bioinformatics developers, particularly those from a computing background, who would like to understand the application of computational tools for biological research. Each chapter would include a comprehensive introduction giving an overview of the fundamentals, aimed at introducing graduate students and researchers from diverse backgrounds to the field and bring them up-to-date on the current state of knowledge. To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development. Each chapter and theme provides an introduction to the biology behind the data describes the requirements for data processing and details some of the methods applied to the data to enhance biological understanding. |
| free pathway analysis tools: Finding Pathways Nicholas Weller, Jeb Barnes, 2014-07-03 This book introduces 'pathway analysis', a method to combine large and small-N research techniques and to aid understanding of causal mechanisms. |
| free pathway analysis tools: Analysis of Biological Networks Björn H. Junker, Falk Schreiber, 2011-09-20 An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks. Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike. Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study. This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research. |
| free pathway analysis tools: Physician's Guide to the Diagnosis, Treatment, and Follow-Up of Inherited Metabolic Diseases Nenad Blau, Marinus Duran, K Michael Gibson, Carlo Dionisi Vici, 2014-07-08 This book, combining and updating two previous editions, is a unique source of information on the diagnosis, treatment, and follow-up of metabolic diseases. The clinical and laboratory data characteristic of rare metabolic conditions can be bewildering for both clinicians and laboratory personnel. Reference laboratory data are scattered, and clinical descriptions may be obscure. The Physician’s Guide documents the features of more than five hundred conditions, grouped according to type of disorder, organ system affected (e.g. liver, kidney, etc) or phenotype (e.g. neurological, hepatic, etc). Relevant clinical findings are provided and pathological values for diagnostic metabolites highlighted. Guidance on appropriate biochemical genetic testing is provided. Established experimental therapeutic protocols are described, with recommendations on follow-up and monitoring. The authors are acknowledged experts, and the book will be a valuable desk reference for all who deal with inherited metabolic diseases. |
| free pathway analysis tools: Toxicogenomics Saura C. Sahu, 2008-11-20 Toxicogenomics is the integration of genomics to toxicology. This technology is a powerful tool for collecting information from a large number of biological samples simultaneously and thus it is very useful for large-scale screening of potential toxicants. Toxicogenomics: A Powerful Tool For Toxicity Assessment provides up-to-date state-of-the-art information presented by the recognized experts, and is therefore an authoritative source of current knowledge in this field of research. The potential link between toxicology, genetics and human diseases makes this book very useful to investigators in many and varied disciplines of science and toxicology. Topics covered include: mechanistic toxicogenomics analysis and interpretation of toxicogenomic data principles of data mining in toxicogenomics design issues in toxicogenomics studies sources of variability in toxicogenomic assays Escherichia coli stress response as a tool for detection of toxicity toxicogenomics as a tool to assess immunotoxicity toxicogenomics and ecogenomics for studying endocrine disruption and basic biology use of toxicogenomics as an early predictive tool for hepatotoxicity nutrigenomics: the application of genomic signatures in nutrition-related research application of toxicogenomics in drug discovery potential uses of toxicogenomic biomarkers in occupational health and risk assessment usefulness of toxicogenomics in the regulatory environment perspectives on toxicogenomics at the US Environmental Protection Agency Toxicogenomics: A Powerful Tool For Toxicity Assessment is an essential resource for research scientists currently engaged in toxicogenomics, and will also be of interest to researchers working in toxicology, genetics, medicine, pharmacology, and food sciences, and to regulators and risk assessors of drug, food, environmental and agricultural products. |
| free pathway analysis tools: Grid Computing for Bioinformatics and Computational Biology El-Ghazali Talbi, Albert Y. Zomaya, 2007-12-04 The only single, up-to-date source for Grid issues in bioinformatics and biology Bioinformatics is fast emerging as an important discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed applications. This book successfully presents Grid algorithms and their real-world applications, provides details on modern and ongoing research, and explores software frameworks that integrate bioinformatics and computational biology. Additional coverage includes: * Bio-ontology and data mining * Data visualization * DNA assembly, clustering, and mapping * Molecular evolution and phylogeny * Gene expression and micro-arrays * Molecular modeling and simulation * Sequence search and alignment * Protein structure prediction * Grid infrastructure, middleware, and tools for bio data Grid Computing for Bioinformatics and Computational Biology is an indispensable resource for professionals in several research and development communities including bioinformatics, computational biology, Grid computing, data mining, and more. It also serves as an ideal textbook for undergraduate- and graduate-level courses in bioinformatics and Grid computing. |
| free pathway analysis tools: Metabolic Pathway Design Pablo Carbonell, 2019-11-05 This textbook presents solid tools for in silico engineering biology, offering students a step-by-step guide to mastering the smart design of metabolic pathways. The first part explains the Design-Build-Test-Learn-cycle engineering approach to biology, discussing the basic tools to model biological and chemistry-based systems. Using these basic tools, the second part focuses on various computational protocols for metabolic pathway design, from enzyme selection to pathway discovery and enumeration. In the context of industrial biotechnology, the final part helps readers understand the challenges of scaling up and optimisation. By working with the free programming language Scientific Python, this book provides easily accessible tools for studying and learning the principles of modern in silico metabolic pathway design. Intended for advanced undergraduates and master’s students in biotechnology, biomedical engineering, bioinformatics and systems biology students, the introductory sections make it also useful for beginners wanting to learn the basics of scientific coding and find real-world, hands-on examples. |
| free pathway analysis tools: The Metabolic Pathway Engineering Handbook Christina Smolke, 2009-07-28 This second volume of the Metabolic Pathway Engineering Handbook delves into evolutionary tools and gene expression tools for metabolic pathway engineering. It covers applications of emerging technologies including recent research genome-wide technologies, DNA and phenotypic microarrays, and proteomics tools for experimentally determining flux thro |
| free pathway analysis tools: Statistics and Data Analysis for Microarrays Using R and Bioconductor Sorin Draghici, 2016-04-19 Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. New to the Second EditionCompletely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for all routines is available on an accompanying downloadable resource. With all the necessary prerequisites included, this best-selling book guides students from very basic notions to advanced analysis techniques in R and Bioconductor. The first half of the text presents an overview of microarrays and the statistical elements that form the building blocks of any data analysis. The second half introduces the techniques most commonly used in the analysis of microarray data. |
| free pathway analysis tools: Biological Sequence Analysis Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison, 1998-04-23 Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field. |
| free pathway analysis tools: Protein Networks and Pathway Analysis Yuri Nikolsky, Julie Bryant, 2009-07-28 From the beginning of the OMICs biology era, science has been pursuing the reduction of the complex genome-wide assays in order to understand the essential biology that lies beneath it. In Protein Networks and Pathway Analysis, expert practitioners present a compilation of methods of functional data analysis, often referred to as systems biology, and its applications in drug discovery, medicine and basic disease research. The volume is divided into three convenient sections, covering the elucidation of protein, compound and gene interactions, analytical tools, including networks, interactome and ontologies, and applications of functional analysis. As a volume in the highly successful Methods in Molecular BiologyTM series, this work provides detailed descriptions and hands-on implementation advice. Authoritative and cutting-edge, Protein Networks and Pathway Analysis presents both wet lab experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field. |
| free pathway analysis tools: Bioinformatics for Systems Biology Stephen Krawetz, 2008-12-11 Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward. |
| free pathway analysis tools: Addiction Medicine Bankole A. Johnson, 2010-10-10 The spectrum of addiction disorders presents practitioners with numerous challenges—among them the widening gap between a growing evidence base and the translation of this knowledge into treatment outcomes. Addiction Medicine addresses this disconnect, clearly explaining the role of brain function in drug taking and other habit-forming behaviors, and applying this biobehavioral framework to the delivery of evidence-based treatment. Its state-of-the-art coverage provides clinically relevant details on not only traditional sources of addiction such as cocaine, opiates, and alcohol, but also more recently recognized substances of abuse (e.g., steroids, inhalants) as well as behavioral addictions (e.g., binge eating, compulsive gambling, hoarding). Current behavioral and medical therapies are discussed in depth, and the book’s close attention to social context gives readers an added lens for personalizing treatment. An international panel of expert contributors offers the most up-to-date information on: Diagnosis and classification Neurobiological and molecular theories of addiction Behavioral concepts of addiction Clinical aspects of addiction to a wide range of substances, including opiates, stimulants, sedatives, hallucinogens, alcohol, nicotine, and caffeine Science-based treatment options: pharmacotherapy, pharmacogenetics, potential vaccines, brief and compliance-enhancing interventions, cognitive behavioral treatment, behavioral management, and other psychosocial interventions Behavioral addictions—including compulsive eating, Internet messaging, and hypersexuality—and their treatment Addiction in specific populations, including adolescents, the elderly, pregnant women, and health care professionals Legal, disability, and rehabilitation issues At once comprehensive and integrative, Addiction Medicine is an essential text and a practice-expanding tool for psychiatrists, health psychologists, pharmacologists, social workers, drug counselors, trainees, and general physicians/family practitioners. |
| free pathway analysis tools: Disease Pathways Anastasia P. Nesterova, Anton Yuryev, Eugene A. Klimov, Maria Zharkova, Maria Shkrob, Natalia V. Ivanikova, Sergey Sozin, Vladimir Sobolev, 2019-10-18 Disease Pathways: An Atlas of Human Disease Signaling Pathways is designed to fill a void of illustrated reviews about the cellular mechanisms of human diseases. It covers 42 of the most common non-oncologic diseases and illustrates the connections between the molecular causes of the disease and its symptoms. This resource provides readers with detailed information about the disease molecular pathways, while keeping the presentation simple. Pathway models that aggregate the knowledge about protein–protein interactions have become indispensable tools in many areas of molecular biology, pharmacology, and medicine. In addition to disease pathways, the book includes a comprehensive overview of molecular signaling biology and application of pathway models in the analysis of big data for drug discovery and personalized medicine. This is a must-have reference for general biologists, biochemists, students, medical workers, and everyone interested in the cellular and molecular mechanisms of human disease. - Over 145 full-color illustrations of the molecular and cellular cascades underlying the disease pathology. - Disease pathways are based on computational models from Elsevier's Disease Pathway Collection, published for the first time outside of Pathway Studio® commercial software. - Each relationship on the pathway models is supported by references to scientific articles and can be examined at freely available online resources. |
| free pathway analysis tools: Deep Learning for Coders with fastai and PyTorch Jeremy Howard, Sylvain Gugger, 2020-06-29 Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala |
| free pathway analysis tools: Street Data Shane Safir, Jamila Dugan, 2021-02-12 Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on fixing and filling academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people. |
| free pathway analysis tools: Inflammation and Natural Products Sreeraj Gopi, Augustine Amalraj, Ajaikumar B. Kunnumakkara, Sabu Thomas, 2021-01-19 Approx.446 pagesApprox.446 pages |
| free pathway analysis tools: User-Friendly Tools Applied to Genetics or Systems Biology Helder Nakaya, Juilee Thakar, Vinicius Maracaja-Coutinho, 2020-12-01 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. |
| free pathway analysis tools: Evolution of Translational Omics 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, 2012-09-13 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. |
| free pathway analysis tools: Communities in Action National Academies of Sciences, Engineering, and Medicine, Health and Medicine Division, Board on Population Health and Public Health Practice, Committee on Community-Based Solutions to Promote Health Equity in the United States, 2017-04-27 In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome. |
| free pathway analysis tools: Biological Data Mining Jake Y. Chen, Stefano Lonardi, 2009-09-01 Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin |
| free pathway analysis tools: Principles of Psychiatric Genetics John I. Nurnberger, Jr, Wade Berrettini, 2012-09-13 Disorders of behavior represent some of the most common and disabling diseases affecting humankind; however, despite their worldwide distribution, genetic influences on these illnesses are often overlooked by families and mental health professionals. Psychiatric genetics is a rapidly advancing field, elucidating the varied roles of specific genes and their interactions in brain development and dysregulation. Principles of Psychiatric Genetics includes 22 disorder-based chapters covering, amongst other conditions, schizophrenia, mood disorders, anxiety disorders, Alzheimer's disease, learning and developmental disorders, eating disorders and personality disorders. Supporting chapters focus on issues of genetic epidemiology, molecular and statistical methods, pharmacogenetics, epigenetics, gene expression studies, online genetic databases and ethical issues. Written by an international team of contributors, and fully updated with the latest results from genome-wide association studies, this comprehensive text is an indispensable reference for psychiatrists, neurologists, psychologists and anyone involved in psychiatric genetic studies. |
| free pathway analysis tools: Improving Healthcare Quality in Europe Characteristics, Effectiveness and Implementation of Different Strategies OECD, World Health Organization, 2019-10-17 This volume, developed by the Observatory together with OECD, provides an overall conceptual framework for understanding and applying strategies aimed at improving quality of care. Crucially, it summarizes available evidence on different quality strategies and provides recommendations for their implementation. This book is intended to help policy-makers to understand concepts of quality and to support them to evaluate single strategies and combinations of strategies. |
| free pathway analysis tools: Rewire Your Anxious Brain Catherine M. Pittman, Elizabeth M. Karle, 2015-01-02 Do you ever wonder what is happening inside your brain when you feel anxious, panicked, and worried? In Rewire Your Anxious Brain, psychologist Catherine Pittman and author Elizabeth Karle offer a unique, evidence-based solution to overcoming anxiety based in cutting-edge neuroscience and research. In the book, you will learn how the amygdala and cortex (both important parts of the brain) are essential players in the neuropsychology of anxiety. The amygdala acts as a primal response, and oftentimes, when this part of the brain processes fear, you may not even understand why you are afraid. By comparison, the cortex is the center of “worry.” That is, obsessing, ruminating, and dwelling on things that may or may not happen. In the book, Pittman and Karle make it simple by offering specific examples of how to manage fear by tapping into both of these pathways in the brain. As you read, you’ll gain a greater understanding how anxiety is created in the brain, and as a result, you will feel empowered and motivated to overcome it. The brain is a powerful tool, and the more you work to change the way you respond to fear, the more resilient you will become. Using the practical self-assessments and proven-effective techniques in this book, you will learn to literally “rewire” the brain processes that lie at the root of your fears. |
| free pathway analysis tools: Graph Drawing Software Michael Jünger, Petra Mutzel, 2012-12-06 After an introduction to the subject area and a concise treatment of the technical foundations for the subsequent chapters, this book features 14 chapters on state-of-the-art graph drawing software systems, ranging from general tool boxes'' to customized software for various applications. These chapters are written by leading experts: they follow a uniform scheme and can be read independently from each other. The text covers many industrial applications. |
| free pathway analysis tools: Cell-Free Gene Expression Ashty S. Karim, Michael C. Jewett, 2022-01-06 This detailed volume explores perspectives and methods using cell-free expression (CFE) to enable next-generation synthetic biology applications. The first section focuses on tools for CFE systems, including a primer on DNA handling and reproducibility, as well as methods for cell extract preparation from diverse organisms and enabling high-throughput cell-free experimentation. The second section provides an array of applications for CFE systems, such as metabolic engineering, membrane-based and encapsulated CFE, cell-free sensing and detection, and educational kits. Written for the highly successful Methods in Molecular Biology series, 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 practical, Cell‐Free Gene Expression: Methods and Protocols serves as an ideal guide for researchers seeking technical methods to current aspects of CFE and related applications. |
| free pathway analysis tools: Networks in Cell Biology Mark Buchanan, Guido Caldarelli, Paolo De Los Rios, Francesco Rao, Michele Vendruscolo, 2010-05-13 Key introductory text for graduate students and researchers in physics, biology and biochemistry. |
| free pathway analysis tools: Bioinformatics Information Resources Management Association, 2013-03-31 Bioinformatics: Concepts, Methodologies, Tools, and Applications highlights the area of bioinformatics and its impact over the medical community with its innovations that change how we recognize and care for illnesses--Provided by publisher. |
| free pathway analysis tools: Addiction Medicine E-Book Bankole Johnson, 2019-12-12 Integrating scientific knowledge with today's most effective treatment options, Addiction Medicine: Science and Practice, 2nd Edition, provides a wealth of information on addictions to substances and behavioral addictions. It discusses the concrete research on how the brain and body are affected by addictions, improving your understanding of how patients develop addictions and how best to personalize treatment and improve outcomes. This essential text is ideal for anyone who deals with patients with addictions in clinical practice, including psychiatrists, health psychologists, pharmacologists, social workers, drug counselors, trainees, and general physicians/family practitioners. - Clearly explains the role of brain function in drug taking and other habit-forming behaviors, and shows how to apply this biobehavioral framework to the delivery of evidence-based treatment. - Provides clinically relevant details on not only traditional sources of addiction such as cocaine, opiates, and alcohol, but also more recently recognized substances of abuse (e.g., steroids, inhalants) as well as behavioral addictions (e.g., binge eating, compulsive gambling, hoarding). - Discusses current behavioral and medical therapies in depth, while also addressing social contexts that may affect personalized treatment. - Contains new information on compliance-enhancing interventions, cognitive behavioral treatments, behavioral management, and other psychosocial interventions. - Includes neurobiological, molecular, and behavioral theories of addiction, and includes a section on epigenetics. - Contains up-to-date information throughout, including a new definition of status epilepticus, a current overview of Lennox Gastaut syndrome, and updates on new FDA-approved drugs for pediatric neurological disorders. - Features expanded sections on evidence-based treatment options including pharmacotherapy, pharmacogenetics, and potential vaccines. - Addresses addiction in regards to specific populations, including adolescents, geriatric, pregnant women, and health care professionals. - Includes contributions from expert international authors, making this a truly global reference to addiction medicine. |
| free pathway analysis tools: Artificial Intelligence in Bioinformatics and Chemoinformatics Yashwant Pathak, Surovi Saikia, Sarvadaman Pathak, Jayvadankumar Patel, Bhupendra Gopalbhai Prajapati, 2023-10-11 The authors aim to shed light on the practicality of using machine learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of AI in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans. Features Covers AI applications in bioinformatics and chemoinformatics Demystifies the involvement of AI in generating biological and chemical data Provides an Introduction to basic and advanced chemoinformatics computational tools Presents a chemical biology based toolset for artificial intelligence usage in drug design Discusses computational methods in cancer, genome mapping, and stem cell research |
| free pathway analysis tools: Statistical Methods For Research Workers R a Fisher, 2017 The Title 'Encyclopaedia of Dalits in India (Women) written/authored/edited by Sanjay Paswan, Paramanshi Jaideva', published in the year 2002. The ISBN 9788178350325 is assigned to the Hardcover version of this title. This book has total of pp. 415 (Pages). The publisher of this title is Kalpaz Publications. This Book is in English. The subject of this book is Reference / Dictionary / Encyclopaedia / Scheduled Castes / OBC / Minorities / Sociology. Size of the book is. |
| free pathway analysis tools: Reviews in Pharmaceutical and Biomedical Analysis Paraskevas D. Tzanavaras, Constantinos K. Zacharis, 2010 Reviews in Pharmaceutical and Biomedical Analysis contains coverage and review of new trends and applications in all areas of pharmaceutical, biomedical and analytical chemistry. Authors have contributed review articles according to their expertise on var |
| free pathway analysis tools: Sirtuins Matthew D. Hirschey, 2016-08-23 Featuring a diverse array of model organisms and scientific techniques, Sirtuins: Methods and Protocols collects detailed contributions from experts in the field addressing this vital family of genes. Opening with methods to generate sirtuin biology tools, the book continues by covering methods to identify sirtuin substrates, to measure sirtuin activity, and to study sirtuin biology. 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. Comprehensive and easy to use, Sirtuins: Methods and Protocols presents detailed protocols for sirtuin research that can be followed directly or modified to investigate new areas of sirtuin biology. |
| free pathway analysis tools: New Insights into Brain Imaging Methods for Rehabilitation of Brain Diseases Guang-qing Xu, Ying Shen, Bin Hu, Feng Zhang, 2024-03-28 Brain diseases such as stroke, Alzheimer's disease, and Parkinson's disease cause dysfunction in multiple body systems. Motor dysfunction, cognitive impairment, dysphagia, and emotion disorders are frequently observed in patients with brain diseases. As the dysfunctions are associated with alterations in the brain, brain imaging methods such as functional MRI (fMRI), electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), and transcranial magnetic stimulation (TMS) are essential for investigating the neural mechanisms underlying the dysfunction caused by brain diseases. Brain imaging methods are also critical for understanding the neural mechanisms for the effectiveness of therapeutic or rehabilitative interventions that promote recovery from brain diseases. The usage of these brain imaging methods would deepen our understanding of brain diseases and potentially translate this knowledge to improve effectiveness of rehabilitative interventions for brain diseases. |
| free pathway analysis tools: Encyclopedia of Bioinformatics and Computational Biology , 2018-08-21 Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases |
| free pathway analysis tools: Proteomics Data Analysis Daniela Cecconi, 2021 This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab. Authoritative and practical, Proteomics Data Analysis serves as an ideal guide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics. |
| free pathway analysis tools: Molecular Diagnostics George P. Patrinos, Wilhelm Ansorge, 2009-08-21 The 2e of Molecular Diagnostics, the only book dealing with diagnosis on a molecular level, discusses current molecular biological techniques used to identify the underlying molecular defects in inherited disease. The book delves further into the principle and brief description of the technique, followed by examples from the authors' own expertise. Contributors to the 2e are well-known experts in their field, and derive from a variety of disciplines, to ensure breadth and depth of coverage. Molecular Diagnostics, 2e , is a needed resource for graduate students, researchers, physicians and practicing scientists in molecular genetics and professionals from similar backgrounds working in diagnostic laboratories in academia or industry, as well as academic institutions and hospital libraries. - Deals exclusively with the currently used molecular biology techniques to identify the underlying molecular defect of inherited diseases - Includes pharmacogenetics and pharmacogenomics relating to new cancer therapies - Provies a comprehensive guide through emerging concepts and demonstrates how the available mutation screening technology can be implemented in diagnostic laboratories and provide better healthcare |
| free pathway analysis tools: Principles of Proteomics Richard Twyman, Ph.D Cfe, George A., 2013-09-16 Principles of Proteomics, Second Edition, provides a concise and user-friendly introduction to the diverse technologies used for the large-scale analysis of proteins, as well as their applications, and their impact in areas such as drug discovery, agriculture, and the fight against disease. Proteomics is a fast-advancing field in which researchers seek to capture all the proteins in the cell and characterize them in ever more detail. Principles of Proteomics has been fully updated to reflect the most recent developments in the field without losing its focus on the underlying principles. With worked examples, case studies profiling both established and emerging technologies, and further reading lists for each chapter, Principles of Proteomics is an ideal introduction for students, researchers and those working in the industry. |
| free pathway analysis tools: Computational Methods and Data Analysis for Metabolomics , 2020 |
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