Characterize the molecular genetic changes that cause a normal cell to become a cancer cell
Tutorial and training materials by OpenHelix
| Learn to use The National Cancer Institute’s Cancer Genome Anatomy Project, CGAP, an integrated resource that provides a collection of databases and analytical tools to help researchers investigate the biology of cancer. You can explore human and mouse gene expression changes related to, or concurrent with, cancer. The CGAP resource includes genes, detailed large-scale microarray and SAGE analyses of gene expression, cytogenetic, and sequence data. The goal of CGAP is to determine the gene expression profiles of normal, precancerous, and cancerous cells, and use this information for improved detection, diagnosis, and treatment. | |||||
You'll learn:
- to perform basic gene searches and understand the displays
- to query the many types of gene expression data using CGAP tools
- to access additional searches to query the Mitelman Database of Chromosome Aberrations in Cancer
- to query a variety of CGAP databases and locate SAGE tags, BAC clones, SNPs, RNAi constructs and more
More about the resource:
CGAP is a public resource that offers an amazing wealth of data and tools to support research aimed at understanding the molecular genetic changes that distinguish normal cells and tissues from the corresponding cancer cells. CGAP is focused on the assembly of large gene expression datasets for human and mouse tissues. CGAP data catalogs specific changes in gene expression, DNA sequence variation, and chromosomal abnormalities that are associated with specific malignancies. CGAP data is assembled in a highly interdisciplinary way, with links to other resources and search tools at NCBI and NCI.
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