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Biomedical Sciences - Cancer Research | Modern Molecular Biology: - Approaches for Unbiased Discovery in Cancer Research

Modern Molecular Biology:

Approaches for Unbiased Discovery in Cancer Research

Yegnasubramanian, Srinivasan, Isaacs, William B. (Eds.)

2010, XII, 192 p.

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  • Provides an overview of modern molecular biological approaches to unbiased discovery in cancer research Offers an overview on advances in molecular biology allowing unbiased analysis of changes in cancer initiation and progression Examines strategies employed in modern genomics, gene expression analysis, and proteomics
A convergence of advancements in molecular biology, engineering, computer science, biostatistics and other disciplines has made possible the development of technologies facilitating the massively parallel investigation of the complex biological phenomena driving cancer initiation and progression. Such technologies include DNA microarrays, next generation sequencing, proteomics technologies, and tissue microarrays. In order to properly harness these technologies to imaginatively decipher these complex biological processes, scientists must have an understanding of the underlying technology, be able to adapt these technologies with molecular biology lab approaches, and then be poised to efficiently process and interpret the extremely high dimensional and complex data sets that are generated by these technologies. The primary purpose of this volume is to help bridge the gap between molecular biologists and cancer researchers and the bioinformatics and computational biology researchers by providing an overview of these technologies to those that are not yet familiar with them.

Content Level » Research

Keywords » Computerassistierte Detektion - DNA - Microarray - Proteomics - bioinformatics - diagnosis - gene expression - genes - genome - molecular biology - tissue

Related subjects » Biomedical Sciences - Cancer Research - Human Genetics - Medical Microbiology - Molecular Medicine - Virology

Table of contents 

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

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