Introduction to Genomics is a fascinating insight into what can be revealed from the study of genomes: how organisms differ or match; how different organisms evolved; how the genome is constructed and how it operates; and what our understanding of genome structure and function means in terms of our future health and wellbeing.
Our genome is the blueprint for our existence: it encodes all the information we need to develop from a single cell into a hugely complicated functional organism. Yet it is more than a static information store: our genome is a dynamic, tightly-regulated collection of genes, which switch on andoff in many combinations to give the variety of cells from which our bodies are formed. But how do we identify the genes that make up our genome? How do we determine their function? And how do different genes form the regulatory networks that direct the processes of life? Introduction to Genomics is the most up-to-date and complete textbook for students approaching the subject for the first time. Lesk's engaging writing style brings a narrative to a disparate field of study and offers a fascinating insight into what can be revealed from the study of genomes. The bookcovers: the similarities and differences between organisms; how different organisms evolved; how the genome is constructed and how it operates; and what our understanding of genomics means in terms of our future health and wellbeing. The Online Resource Centre accompanying Introduction to Genomics features: For students: * Extensive and imaginative weblems (web-based problems) for each chapter designed to give you practice with the tools required for further study and research in the field* Hints and answers to end-of-chapter problems and exercises support your self-directed learning* Guided tour of websites and major archival databanks in genomics offer a wealth of resources to springboard your own research * Journal club: links to related research articles on topics covered in the book are paired with engaging questions to improve your interpretation of the primary literature* Rotating figures allow you to visualize complex structuresFor registered adopters: * Downloadable figures from the book.
Studying large sets of genes and their collective function requires tools that can easily handle huge amounts of information. Recent research indicates that engineering approaches for prediction, signal processing, and control are well suited for studying multivariate interactions. A tutorial guide to the current engineering research in genomics, Introduction to Genomic Signal Processing with Control provides a state-of-the-art account of the use of control theory to obtain intervention strategies for gene regulatory networks. The book builds up the necessary molecular biology background with a basic review of organic chemistry and an introduction of DNA, RNA, and proteins, followed by a description of the processes of transcription and translation and the genetic code that is used to carry out the latter. It discusses control of gene expression, introduces genetic engineering tools such as microarrays and PCR, and covers cell cycle control and tissue renewal in multi-cellular organisms. The authors then delineate how the engineering approaches of classification and clustering are appropriate for carrying out gene-based disease classification. This leads naturally to expression prediction, which in turn leads to genetic regulatory networks. The book concludes with a discussion of control approaches that can be used to alter the behavior of such networks in the hope that this alteration will move the network from a diseased state to a disease-free state. Written by recognized leaders in this emerging field, the book provides the exact amount of molecular biology required to understand the engineering applications. It is a self-contained resource that spans the diverse disciplines of molecular biology and electrical engineering.
This IBM® Redbooks® publication introduces the IBM Reference Architecture for Genomics, IBM Power SystemsTM edition on IBM POWER8®. It addresses topics such as why you would implement Life Sciences workloads on IBM POWER8, and shows how to use such solution to run Life Sciences workloads using IBM PlatformTM Computing software to help set up the workloads. It also provides technical content to introduce the IBM POWER8 clustered solution for Life Sciences workloads. This book customizes and tests Life Sciences workloads with a combination of an IBM Platform Computing software solution stack, Open Stack, and third party applications. All of these applications use IBM POWER8, and IBM Spectrum ScaleTM for a high performance file system. This book helps strengthen IBM Life Sciences solutions on IBM POWER8 with a well-defined and documented deployment model within an IBM Platform Computing and an IBM POWER8 clustered environment. This system provides clients in need of a modular, cost-effective, and robust solution with a planned foundation for future growth. This book highlights IBM POWER8 as a flexible infrastructure for clients looking to deploy life sciences workloads, and at the same time reduce capital expenditures, operational expenditures, and optimization of resources. This book helps answer clients' workload challenges in particular with Life Sciences applications, and provides expert-level documentation and how-to-skills to worldwide teams that provide Life Sciences solutions and support to give a broad understanding of a new architecture.
The genomics revolution has expanded from its origins in molecular biology to impact upon every discipline in the life sciences, including ecology. This new edition incorporates a balance of plant, animal, and microbial examples, and continues to define the new and exciting field of ecological genomics.
This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.
This book introduces readers to the study of how genes, singly and in combination with each other and the environment, affect health and behavior. It provides family-focused perspectives relating to genetic counseling and education.
Introduction to Protein Science provides a broad introduction to the contemporary study of proteins in health and disease, suitable for students on biological, biochemical, and biomedical degrees internationally. The book relates the study of proteins to the context of modern high-throughput data streams of genomics and proteomics.
Marine biology has always played an important role in biological research, being at the origin of many key advances. To a certain extent, the influence of marine biology on the biological sciences was overshadowed over a period of several years by the remarkable advances that were made using powerful model organisms from terrestrial environments. This situation is now changing again, however, due primarily to spectacular developments in genomic methodologies that have significantly accelerated research in a broad spectrum of marine biology disciplines ranging from biodiversity to developmental biology to biotechnology. The data generated by marine genomics projects have had an impact on questions as diverse as understanding planetary geochemical cycles, the impact of climate change on marine fauna and flora, the functioning of marine ecosystems, the discovery of new organisms and novel biomolecules, and investigation of the evolution of animal developmental complexity. This book represents the first attempt to document how genomic technologies are revolutionising these diverse domains of marine biology. Each chapter of this book looks at how these technologies are being employed in a specific domain of marine research and provides a summary of the major results obtained to date. The book as a whole provides an overview of marine genomics as a discipline and represents an ideal starting point for exploring this rapidly developing domain.
Early characterization of toxicity and efficacy would significantly impact the overall productivity of pharmaceutical R&D and reduce drug candidate attrition and failure. By describing the available platforms and weighing their relative advantages and disadvantages, including microarray data analysis, Genomics in Drug Discovery and Development introduces readers to the biomarker, pharmacogenomic, and toxicogenomics toolbox. The authors provide a valuable resource for pharmaceutical discovery scientists, preclinical drug safety department personnel, regulatory personnel, discovery toxicologists, and safety scientists, drug development professionals, and pharmaceutical scientists.