E-Book, Englisch, 192 Seiten, eBook
Reihe: Applied Bioinformatics and Biostatistics in Cancer Research
Yegnasubramanian / Isaacs Modern Molecular Biology:
2010
ISBN: 978-0-387-69745-1
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Approaches for Unbiased Discovery in Cancer Research
E-Book, Englisch, 192 Seiten, eBook
Reihe: Applied Bioinformatics and Biostatistics in Cancer Research
ISBN: 978-0-387-69745-1
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1: Genome-scale analysis of data from high-throughput technologies
by Sarah J. Wheelan
Chapter 2: Analysis of Inherited and Acquired Genetic Variation
by Srinivasan Yegnasubramanian and William B. Isaacs
Chapter 3: Examining DNA–Protein Interactions with genome-wide chromatin immunoprecipitation (ChIP) analysis
by Esteban Ballestar and Manel Esteller
Chapter 4: Genome-wide DNA methylation analysis in cancer research
by Srinivasan Yegnasubramanian and William G. Nelson
Chapter 5: Use of expression microarrays in cancer research
by Jun Luo and Yidong Chen
Chapter 6: Signal sequencing for gene expression profiling
by Biaoyang Lin, Jeremy Wechsler, Leroy Hood
Chapter 7: Mass spectrometry based proteomics in cancer research
by Mohamad Abbani, Parag Mallick, Maryann Vogelsang
Chapter 8: Tissue microarrays in cancer research
by Toby Cornish and Angelo De Marzo
