الصفحة 1
الصفحة 1
Genomics in Endocrinology : DNA Microarray Analysis in Endocrine Health and Disease
Genomics in Endocrinology focuses on exciting new advances in endocrinology resulting from DNA microarray studies and includes a comprehensive introduction to the use of DNA microarrays in endocrinology. The volume provides the basis for further understanding of the usefulness of microarray analyses in endocrinology research.
Genetics and Genomics of Soybean
The book covers recent progress on genome research in soybeans, including the genetic map with classical, RFLP, SSR and SNP markers; genomic and cDNA libraries, functional genomics platforms (e.g., cDNA, Affymetrix and oligonucleotide based DNA microarrays); physical maps, and the efforts to fully sequence the genome. Given the pending release of the soybean genome sequence, through the efforts of the Department of Energy’s Joint Genome Institute, this book will stand as a critical source of information on soybean.
Biopharmaceutical drug design and development
Biopharmaceutical Drug Design and Development, Second Edition, updates the widely successful first edition, published in 1999. This new, expanded edition investigates the dozens of new biopharmaceutical drugs that have become available since the publication of the first edition. Among the drugs discussed are ones in the categories of monoclonal antibodies for in-vivo use, cytokines, growth factors, enzymes, immunomodulators, thrombolytics, and immonotherapies including vaccines. Additionally, the volume examines new and emerging technologies, such as bioinformatics, DNA microarrays, transgenics, therapeutic gene delivery, stem cells, nucleic acid-based therapeutics, and macromolecular drug delivery. Authors also study pharmacogenetics in the clinic and changes in biologic drug approval at the FDA. Biopharmaceutical Drug Design and Development, Second Edition, is a worthy sequel in the discussion on the dynamic, exciting field of biotechnology.
Bioinformatics
In this textbook present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.
