Abstract
Cancer is fundamentally a genetic disease caused by a combination of several mutations that make a tumor cell distinct from a normal cell. The new generation of cancer therapies is aimed at targeting this difference, for example, by inhibiting the activity of the product of a hyperactive or overexpressed oncogene. The utilization of genomic approaches to identify cancer-causing mutations and understand the underlying biological mechanisms has made significant advances in recent years. Notably, profiling of gene expression in tumor samples by microarrays has provided new insights into the molecular characterization of many types of cancer. Other genomic approaches including genomewide profiling of amplifications and deletions and analysis of single-nucleotide polymorphisms (SNPs), hold the promise of enabling the systematic description of all mutations in a given tumor and, thus, the possibility of personalizing cancer diagnosis and treatment. Because of the explosion in the use of genomic approaches in the field, knowledge and expertise in the efficient utilization of bioinformatics resources and tools has become essential for cancer researchers. This chapter is intended to help cancer biologists navigate through the complexity of current genomic databases to find the information they need.
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Ling, X.B., Cutler, G., Hoey, T. (2005). Genomic Resources for Cancer Biologists. In: LaRochelle, W.J., Shimkets, R.A. (eds) The Oncogenomics Handbook. Cancer Drug Discovery and Development. Humana Press. https://doi.org/10.1385/1-59259-893-5:3
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DOI: https://doi.org/10.1385/1-59259-893-5:3
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