Knowledge-Based Bioinformatics. From analysis to interpretation

Praise for The Handbook ofKnowledge-Based Coaching «Definitive, with extensive references and a commitment to connecting theory to practice in every chapter, this important contribution is a delicious and wide-ranging exploration of the lineages that have shaped the modern practice of coaching.» —Doug Silsbee, author, Presence-Based Coaching and The Mindful Coach «The translation of theories from multiple disciplines to the practice of coaching makes this book a must-read!» —Terrence E. Maltbia, senior lecturer, Adult Learning and Leadership; and faculty director, Columbia Coaching Certification Program, Teachers College, Columbia University «If you have an appetite for the scientific roots of what works best in coaching, and you are hungry for an easy-to-digest translation of the science to practice, this book is a feast and will be on your plate for many years to come.» —Margaret Moore (Coach Meg), founder and CEO, Wellcoaches Corporation; and codirector, Institute of Coaching, McLean Hospital, Harvard Medical School «Whether you're a beginner or an experienced coach, this rollicking ride through dozens of the most important theories and perspectives in coaching will be a vital companion. With quick and helpful summaries of key ideas and their use—and selective bibliographies should you wish to go deeper into a particular area—this book will help you support your clients in a targeted and sophisticated way.» —Jennifer Garvey Berger, author, Changing on the Job: Growing the Leaders Our Organizations Need; and coeditor, Executive Coaching: Practices and Perspectives «This is a book I have been missing. What a pleasure to read and what a stretching of my mind.» —Kim G?rtz, senior consultant, Copenhagen Coaching Center «Anyone who is serious about improving the quality of coaching will find The Handbook an invaluable resource that reflects the breadth and richness of the growing evidence-based approach to coaching practice.» —David Clutterbuck, visiting professor in the coaching and mentoring faculties, Oxford Brookes and Sheffield Hallam Universities

Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. This book details the complete pathway of cluster analysis, from the basics of molecular biology to the generation of biological knowledge. The book also presents the latest clustering methods and clustering validation, thereby offering the reader a comprehensive review of clustering analysis in bioinformatics from the fundamentals through to state-of-the-art techniques and applications. Key Features: Offers a contemporary review of clustering methods and applications in the field of bioinformatics, with particular emphasis on gene expression analysis Provides an excellent introduction to molecular biology with computer scientists and information engineering researchers in mind, laying out the basic biological knowledge behind the application of clustering analysis techniques in bioinformatics Explains the structure and properties of many types of high-throughput datasets commonly found in biological studies Discusses how clustering methods and their possible successors would be used to enhance the pace of biological discoveries in the future Includes a companion website hosting a selected collection of codes and links to publicly available datasets

In this new book from the author of e-Learning on a Shoestring and Better than Bullet Points, Jane Bozarth has gathered a wealth of tools from leading training practitioners. Anyone—from the interested manager to the experienced training professional—can depend on this book when designing or delivering training. This single book contains all the valuable tools of the trade: worksheets for assessing training needs and writing goals and objectives; checklists for organizing the venue; and tools for analysis and structuring content. This remarkable resource also includes instant evaluation and measurement surveys, which can be customized freely from the companion website. In addition, Bozarth includes a wealth of invaluable advice for trainers at all levels on how to make effective use of props, staying energized, marketing training programs, and other things they don't tell you in train-the-trainer courses.

How can you make the best use of patient data to improve health outcomes? More and more information about patients' health is stored on increasingly interconnected computer systems. But is it shared in ways that help clinicians care for patients? Could it be better used as a resource for researchers? This book is aimed at all those who want to learn about how IT is transforming the way we think about medicine and medical research. The ideas explored here are taken from research carried out around the world, and are presented by a leading authority in Health Informatics based at University College London. This comprehensive guide to the field is split into three sections: What is health informatics? – an introduction Techniques for representing and analysing patient data and medical knowledge Implementation in the clinical setting: changing practice to improve health care outcomes Whether you are a health professional, NHS manager or IT specialist, this book will help you understand how data can be managed to provide the information you and your colleagues want in the most helpful and accessible way for both you and your patients.

Praise for the third edition of Bioinformatics “This book is a gem to read and use in practice.” — Briefings in Bioinformatics "This volume has a distinctive, special value as it offers an unrivalled level of details and unique expert insights from the leading computational biologists, including the very creators of popular bioinformatics tools." — ChemBioChem “A valuable survey of this fascinating field. . . I found it to be the most useful book on bioinformatics that I have seen and recommend it very highly.” — American Society for Microbiology News “This should be on the bookshelf of every molecular biologist.” — The Quarterly Review of Biology The field of bioinformatics is advancing at a remarkable rate. With the development of new analytical techniques that make use of the latest advances in machine learning and data science, today’s biologists are gaining fantastic new insights into the natural world’s most complex systems. These rapidly progressing innovations can, however, be difficult to keep pace with. The expanded fourth edition of the best-selling Bioinformatics aims to remedy this by providing students and professionals alike with a comprehensive survey of the current field. Revised to reflect recent advances in computational biology, it offers practical instruction on the gathering, analysis, and interpretation of data, as well as explanations of the most powerful algorithms presently used for biological discovery. Bioinformatics, Fourth Edition offers the most readable, up-to-date, and thorough introduction to the field for biologists at all levels, covering both key concepts that have stood the test of time and the new and important developments driving this fast-moving discipline forwards. This new edition features:  New chapters on metabolomics, population genetics, metagenomics and microbial community analysis, and translational bioinformatics A thorough treatment of statistical methods as applied to biological data Special topic boxes and appendices highlighting experimental strategies and advanced concepts Annotated reference lists, comprehensive lists of relevant web resources, and an extensive glossary of commonly used terms in bioinformatics, genomics, and proteomics Bioinformatics is an indispensable companion for researchers, instructors, and students of all levels in molecular biology and computational biology, as well as investigators involved in genomics, clinical research, proteomics, and related fields.

This book is an excellent introductory text describing the use of bioinformatics to analyze genomic and post-genomic data. It has been translated from the original popular French edition, which was based on a course taught at the well-respected ?cole Polytechnique in Palaiseau. This edition has been fully revised and updated by the authors. After a brief introduction to gene structure and sequence determination, it describes the techniques used to identify genes, their protein-coding sequences and regulatory regions. The book discusses the methodology of comparative genomics, using information from different organisms to deduce information about unknown sequences. There is a comprehensive chapter on structure prediction, covering both RNA and protein. Finally, the book describes the complex networks of RNA and protein that exist within the cell and their interactions, ending with a discussion of the simulation approaches that can be used to model these networks. Praise from the reviews: “In context of the new developments the genomic era has brought, Bioinformatics: Genomics and Post-Genomics becomes a fundamental and indispensable resource for undergraduate and early graduate students…insightfully authored…will immensely help students…in establishing important foundations while shaping their careers.” NEWSLETTER, BRITISH SOCIETY OF CELL BIOLOGY

Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design paradigm. It describes methodology for conducting a system design in a systematic and rigorous manner that supports human creativity to optimize the design objective(s) subject to constraints and uncertainties. The material presented builds on decades of experience in Multidisciplinary Design Optimization (MDO) methods, progress in concurrent computing, and Knowledge Based Engineering (KBE) tools. Key features: Comprehensively covers MDO and is the only book to directly link this with KBE methods Provides a pathway through basic optimization methods to MDO methods Directly links design optimization methods to the massively concurrent computing technology Emphasizes real world engineering design practice in the application of optimization methods Multidisciplinary Design Optimization supported by Knowledge Based Engineering is a one-stop-shop guide to the state-of-the-art tools in the MDO and KBE disciplines for systems design engineers and managers. Graduate or post-graduate students can use it to support their design courses, and researchers or developers of computer-aided design methods will find it useful as a wide-ranging reference.

Peter Burke follows up his magisterial Social History of Knowledge, picking up where the first volume left off around 1750 at the publication of the French Encyclop?die and following the story through to Wikipedia. Like the previous volume, it offers a social history (or a retrospective sociology of knowledge) in the sense that it focuses not on individuals but on groups, institutions, collective practices and general trends. The book is divided into 3 parts. The first argues that activities which appear to be timeless – gathering knowledge, analysing, disseminating and employing it – are in fact time-bound and take different forms in different periods and places. The second part tries to counter the tendency to write a triumphalist history of the 'growth' of knowledge by discussing losses of knowledge and the price of specialization. The third part offers geographical, sociological and chronological overviews, contrasting the experience of centres and peripheries and arguing that each of the main trends of the period – professionalization, secularization, nationalization, democratization, etc, coexisted and interacted with its opposite. As ever, Peter Burke presents a breath-taking range of scholarship in prose of exemplary clarity and accessibility. This highly anticipated second volume will be essential reading across the humanities and social sciences.

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world’s leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University

An accessible introduction to real analysis and its connection to elementary calculus Bridging the gap between the development and history of real analysis, Introduction to Real Analysis: An Educational Approach presents a comprehensive introduction to real analysis while also offering a survey of the field. With its balance of historical background, key calculus methods, and hands-on applications, this book provides readers with a solid foundation and fundamental understanding of real analysis. The book begins with an outline of basic calculus, including a close examination of problems illustrating links and potential difficulties. Next, a fluid introduction to real analysis is presented, guiding readers through the basic topology of real numbers, limits, integration, and a series of functions in natural progression. The book moves on to analysis with more rigorous investigations, and the topology of the line is presented along with a discussion of limits and continuity that includes unusual examples in order to direct readers' thinking beyond intuitive reasoning and on to more complex understanding. The dichotomy of pointwise and uniform convergence is then addressed and is followed by differentiation and integration. Riemann-Stieltjes integrals and the Lebesgue measure are also introduced to broaden the presented perspective. The book concludes with a collection of advanced topics that are connected to elementary calculus, such as modeling with logistic functions, numerical quadrature, Fourier series, and special functions. Detailed appendices outline key definitions and theorems in elementary calculus and also present additional proofs, projects, and sets in real analysis. Each chapter references historical sources on real analysis while also providing proof-oriented exercises and examples that facilitate the development of computational skills. In addition, an extensive bibliography provides additional resources on the topic. Introduction to Real Analysis: An Educational Approach is an ideal book for upper- undergraduate and graduate-level real analysis courses in the areas of mathematics and education. It is also a valuable reference for educators in the field of applied mathematics.