| 書(shū)目名稱(chēng) | Modern Molecular Biology: | | 副標(biāo)題 | Approaches for Unbia | | 編輯 | Srinivasan Yegnasubramanian,William B. Isaacs | | 視頻video | http://file.papertrans.cn/638/637283/637283.mp4 | | 概述 | The purpose of this volume is to provide an overview of modern molecular biological approaches to unbiased discovery in cancer research Advances in molecular biology allowing unbiased analysis of chan | | 叢書(shū)名稱(chēng) | Applied Bioinformatics and Biostatistics in Cancer Research | | 圖書(shū)封面 |  | | 描述 | .Molecular biology has rapidly advanced since the discovery of the basic flow of information in life, from DNA to RNA to proteins. While there are several important and interesting exceptions to this general flow of information, the importance of these biological macromolecules in dictating the phenotypic nature of living creatures in health and disease is paramount. In the last one and a half decades, and particularly after the completion of the Human Genome Project, there has been an explosion of technologies that allow the broad characterization of these macromolecules in physiology, and the perturbations to these macromolecules that occur in diseases such as cancer. In this volume, we will explore the modern approaches used to characterize these macromolecules in an unbiased, systematic way. Such technologies are rapidly advancing our knowledge of the coordinated and complicated changes that occur during carcinogenesis, and are providing vital information that, when correctly interpreted by biostatistical/bioinformatics analyses, can be exploited for the prevention, diagnosis, and treatment of human cancers....The purpose of this volume is to provide an overview of modern molec | | 出版日期 | Book 2010 | | 關(guān)鍵詞 | Computerassistierte Detektion; DNA; Microarray; Proteomics; bioinformatics; diagnosis; gene expression; gen | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-69745-1 | | isbn_softcover | 978-1-4614-2657-8 | | isbn_ebook | 978-0-387-69745-1Series ISSN 2363-9644 Series E-ISSN 2363-9652 | | issn_series | 2363-9644 | | copyright | Springer Science+Business Media, LLC 2010 |
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