Modern Molecular Biology Approaches for Unbiased Discovery in Cancer Research (2024)


Free Download Srinivasan Yegnasubramanian, William B. Isaacs, "Modern Molecular Biology:: Approaches for Unbiased Discovery in Cancer Research (Applied Bioinformatics and Biostatistics in Cancer Research)"
English | 2010 | pages: 196 | ISBN: 0387697446, 146142657X | PDF | 4,7 mb
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 molecular biological approaches to unbiased discovery in cancer research. Advances in molecular biology allowing unbiased analysis of changes in cancer initiation and progression will be overviewed. These include the strategies employed in modern genomics, gene expression analysis, and proteomics.

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

FileFox
zm4a7.rar
DONWLOAD FROM RAPIDGATOR
zm4a7.rar.html
DONWLOAD FROM UPLOADGIG
zm4a7.rar

Links are Interchangeable – Single Extraction

Add a Comment

Your email address will not be published. Required fields are marked *