Computational Immunology: Models and Toolsencompasses the methodological framework and application of cutting-edge tools and techniques to study immunological processes at a systems level, along with the concept of multi-scale modeling.
The book's emphasis is on selected cases studies and application of the most updated technologies in computational modeling, discussing topics such as computational modeling and its usage in immunological research, bioinformatics infrastructure, ODE based modeling, agent based modeling, and high performance computing, data analytics, and multiscale modeling.
There are also modeling exercises using recent tools and models which lead the readers to a thorough comprehension and applicability.
The book is a valuable resource for immunologists, computational biologists, bioinformaticians, biotechnologists, and computer scientists, as well as all those who wish to broaden their knowledge in systems modeling.Offers case studies with different levels of complexityProvides a detailed view on cutting-edge tools for modeling that are useful to experimentalists with limited computational skillsExplores the usage of simulation for hypothesis generation, helping the reader to understand the most valuable points on experimental setting
Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your data
"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author
The book will therefore be integrative across a broad spectrum of fields within medicine. To achieve this the chapters will be associated with others in a number of meaningful ways. Each chapter will share a number of points of contact that will include at least two of the following:
*similar biomedical area (e.g., immunity, neuroscience, endocrinology, pathology, oncology, haematology, ...)
*similar multidisciplinary theoretical contexts (e.g., modelling, analysis, description, visualization, complex systems, ...)
*similar multidisciplinary medical issues and questions (e.g., clinical practice, decision making, informatics, ...)
· Uniquely explores role of interdisciplinary exchange in the development and expansion of medical theory
· Timely and insightful essays on the growth and development of medical theories from some of the world's top clinicians and medical researchers, including Werner Arber, Frank Vertosick, and David Weatherall
· Assembles diverse perspectives on medicine and physiology from biology, statistics, ethics, computer science, philosophy, history
· Uniquely illuminates the social and historical processes through which theoretical research translates into clinical practice
· Reveals the growing role of technology, especially computational modelling, in changing the nature of Western medicine
This concise and clearly written book will make your PubMed searches more productive.
This completely revised second edition of Brian Katcher's MEDLINE: a guide to effective searching in PubMed and other interfaces promotes the cultivation of an informed and thoughtful approach to searching in PubMed/MEDLINE and other interfaces to MEDLINE.
MEDLINE, the National Library of Medicine's on-line bibliographic database, is the premiere index to the world's biomedical literature. It is the primary component of PubMed. MEDLINE is exquisitely organized: each journal article is manually indexed under an average of a dozen Medical Subject Headings (MeSH Terms), one or more publication types, and more. An understanding of this organization is essential to effective searching. Any health professional, health sciences student, or researcher will benefit from reading this book. It explains the basics of formulating searches, shows how to put the main indexing elements in MEDLINE to best use, illustrates the importance of Medical Subject Headings (MeSH), provides guidance for framing questions, and backs everything up with practical examples.
MEDLINE: a guide to effective searching in PubMed and other interfaces is an essential resource for those concerned with evidence-based medicine and those engaged in biomedical research. Medical librarians and teachers of medical informatics will find this book to be useful in promoting the careful use of PubMed/MEDLINE.
have expanded the realm of possibilities for capturing data and analyzing it using automated
computer driven bioinformatics tools. With the completion of the sequencing of genomes of
human and several model organisms, a quest for scientific discoveries being fueled by
integrative and multidimensional techniques in mathematics and computational sciences. In
this volume, leading researchers and experts have provided an overview of significant
concepts from biological, mathematical, and computational perspectives. It provides a high level view of fungal genomic data integration and annotation, classification of proteins and identification of vaccine targets, identification of secretome or secreted proteins in fungal genomes, as well as tools for analyzing microarray expression
profiles.Provides a survey of theoretical underpinnings on the technological tools and applicationsDiscusses the tools utilized for the annotation of fungal genomes and addresses issues related to automated annotation generation in a high throughput biotechnology environmentDescribes the applications of the concepts and methodologies presented throughout the book
Part A starts with an overview of a number of microarray platforms, both commercial and academically produced and includes wet bench protocols for performing traditional expression analysis and derivative techniques such as detection of transcription factor occupancy and chromatin status. Wet-bench protocols and troubleshooting techniques continue into Part B. These techniques are well rooted in traditional molecular biology and while they require traditional care, a researcher that can reproducibly generate beautiful Northern or Southern blots should have no difficulty generating beautiful array hybridizations.
Data management is a more recent problem for most biologists. The bulk of Part B provides a range of techniques for data handling. This includes critical issues, from normalization within and between arrays, to uploading your results to the public repositories for array data, and how to integrate data from multiple sources. There are chapters in Part B for both the debutant and the expert bioinformatician.Provides an overview of platformsIncludes experimental design and wet bench protocolsPresents statistical and data analysis methods, array databases, data visualization and meta-analysis