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This third edition of a successful textbook is a concise description of the structure and function of genes.
Holland-Frei Cancer Medicine, Ninth Edition, offers a balanced view of the most current knowledge of cancer science and clinical oncology practice. This all-new edition is the consummate reference source for medical oncologists, radiation oncologists, internists, surgical oncologists, and others who treat cancer patients. A translational perspective throughout, integrating cancer biology with cancer management providing an in depth understanding of the disease An emphasis on multidisciplinary, research-driven patient care to improve outcomes and optimal use of all appropriate therapies Cutting-edge coverage of personalized cancer care, including molecular diagnostics and therapeutics Concise, readable, clinically relevant text with algorithms, guidelines and insight into the use of both conventional and novel drugs Includes free access to the Wiley Digital Edition providing search across the book, the full reference list with web links, illustrations and photographs, and post-publication updates
There is growing enthusiasm in the scientific community about the prospect of mapping and sequencing the human genome, a monumental project that will have far-reaching consequences for medicine, biology, technology, and other fields. But how will such an effort be organized and funded? How will we develop the new technologies that are needed? What new legal, social, and ethical questions will be raised? Mapping and Sequencing the Human Genome is a blueprint for this proposed project. The authors offer a highly readable explanation of the technical aspects of genetic mapping and sequencing, and they recommend specific interim and long-range research goals, organizational strategies, and funding levels. They also outline some of the legal and social questions that might arise and urge their early consideration by policymakers.
Epigenetic Gene Expression and Regulation reviews current knowledge on the heritable molecular mechanisms that regulate gene expression, contribute to disease susceptibility, and point to potential treatment in future therapies. The book shows how these heritable mechanisms allow individual cells to establish stable and unique patterns of gene expression that can be passed through cell divisions without DNA mutations, thereby establishing how different heritable patterns of gene regulation control cell differentiation and organogenesis, resulting in a distinct human organism with a variety of differing cellular functions and tissues. The work begins with basic biology, encompasses methods, cellular and tissue organization, topical issues in epigenetic evolution and environmental epigenesis, and lastly clinical disease discovery and treatment. Each highly illustrated chapter is organized to briefly summarize current research, provide appropriate pedagogical guidance, pertinent methods, relevant model organisms, and clinical examples. - Reviews current knowledge on the heritable molecular mechanisms that regulate gene expression, contribute to disease susceptibility, and point to potential treatment in future therapies - Helps readers understand how epigenetic marks are targeted, and to what extent transgenerational epigenetic changes are instilled and possibly passed onto offspring - Chapters are replete with clinical examples to empower the basic biology with translational significance - Offers more than 100 illustrations to distill key concepts and decipher complex science
Gene expression is the most fundamental level at which genotype gives rise to phenotype, which is an obvious, observable, and measurable trait. Phenotype is dependent on genetic makeup of the organism and influenced by environmental conditions. This book explores the significance, mechanism, function, characteristic, determination, and application of gene expression and phenotypic traits.
Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
This book stems from an Advanced Study Institute on Chromo somal Proteins and Gene Expression that was held in Sitges, Spain, on September 17-26, 1984. It would be misleading to call this volume a conference proceedings, however. The ASI was not a conference, but a course with diverse activities, only one of which was a set of major presentations by the lecturers. Indeed, the concept of lecturer was intentionally obscured as we all learned from each other through shorter presentations by other participants and through seminars, poster sessions, and small group discussions. Furthermore, many participants found that exchanging ideas outside organized sessions was among the most rewarding aspects of the course. Some even claimed to have profitably probed the intricacies of nucleosome structure and transcriptional regulation while basking in the sun on the beachl Obviously, it is difficult to catch the flavor of such varied proceedings in a book. (I cannot confirm the incident on the beach, never having found time to set foot there. Such is the fate of the director of a meeting. ) The ASI was judged a success -- and enthusiastically so - by most participants. Not only did we deepen our understanding of our scientific field, we made new friends and learned about scientific and nonscientific aspects of life in other countries and about issues that transcend international boundaries in our complex world. We hope that this volume will be as successful as the course was.
This book provides a detailed evidence-based overview of the latest developments in how the structure of the human genome is relevant to the health professional. It features comprehensive reviews of genome science including human chromosomal and mitochondrial DNA structure, protein-coding and noncoding genes, and the diverse classes of repeat elements of the human genome. These concepts are then built upon to provide context as to how they functionally relate to differences in phenotypic traits that can be observed in human populations. Guidance is also provided on how this information can be applied by the medical practitioner in day-to-day clinical practice. Human Genome Structure, Function and Clinical Considerations collates the latest developments in genome science and current methods for genome analysis that are relevant for the clinician, researcher and scientist who utilises precision medicine techniques and is an essential resource for any such practitioner.
Explores the discovery, nature, and role of genes in evolution and development.