Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

CGAP

General information

URL: http://cgap.nci.nih.gov
Full name: Cancer Genome Anatomy Project
Description: The web site includes genomic data for humans and mice, including transcript sequence, gene expression patterns, single-nucleotide polymorphisms, clone resources, and cytogenetic information. Descriptions of the methods and reagents used in deriving the CGAP datasets are also provided. An extensive suite of informatics tools facilitates queries and analysis of the CGAP data by the community. One of the newest features of the CGAP web site is an electronic version of the Mitelman Database of Chromosome Aberrations in Cancer.
Year founded: 2001
Last update:
Version:
Accessibility:
Accessible
Country/Region: United States

Contact information

University/Institution: National Cancer Institute
Address: Center for Bioinformatics, National Cancer Institute, Bethesda, Maryland 20892-2590, USA.
City:
Province/State:
Country/Region: United States
Contact name (PI/Team): Strausberg RL
Contact email (PI/Helpdesk): RLS@nih.gov

Publications

12082587
An international database and integrated analysis tools for the study of cancer gene expression. [PMID: 12082587]
Strausberg RL, Camargo AA, Riggins GJ, Schaefer CF, de Souza SJ, Grouse LH, Lal A, Buetow KH, Boon K, Greenhut SF, Simpson AJ.

Researchers working collaboratively in Brazil and the United States have assembled an International Database of Cancer Gene Expression. Several strategies have been employed to generate gene expression data including expressed sequence tags (ESTs), serial analysis of gene expression (SAGE), and open reading-frame expressed sequence tags (ORESTES). The database contains six million gene tags that reflect the gene expression profiles in a wide variety of cancerous tissues and their normal counterparts. All sequences are deposited in the public databases, GenBank and SAGEmap. A suite of informatics tools was designed to facilitate in silico analysis of the gene expression datasets and are available through the NCI Cancer Genome Anatomy Project web site (http://cgap.nci.nih.gov).

Pharmacogenomics J. 2002:2(3) | 18 Citations (from Europe PMC, 2025-12-13)
11269648
A new cancer genome anatomy project web resource for the community. [PMID: 11269648]
Schaefer C, Grouse L, Buetow K, Strausberg RL.

The National Cancer Institute's Cancer Genome Anatomy Project (CGAP) is developing publicly accessible information, technology, and material resources that provide a platform for the interface of cancer research and genomics. CGAP's efforts have focused toward (1) building and annotating catalogues of genes expressed during cancer development, (2) identifying polymorphisms in those genes, and (3) developing resources for the molecular characterization of cancer-related chromosomal aberrations. To date, CGAP has produced more than 1,000,000 expressed sequence tags, approximately 3,300,000 serial analysis of gene expression tags, and identified more than 10,000 human gene-based single-nucleotide polymorphisms. To enhance access to these datasets by the research community, a new Cancer Genome Project web site (http://cgap.nci.nih.gov/) is being introduced. The web site includes genomic data for humans and mice, including transcript sequence, gene expression patterns, single-nucleotide polymorphisms, clone resources, and cytogenetic information. Descriptions of the methods and reagents used in deriving the CGAP datasets are also provided. An extensive suite of informatics tools facilitates queries and analysis of the CGAP data by the community. One of the newest features of the CGAP web site is an electronic version of the Mitelman Database of Chromosome Aberrations in Cancer.

Cancer J. 2001:7(1) | 22 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4427/6895 (35.809%)
Gene genome and annotation:
1351/2021 (33.201%)
Pathway:
285/451 (37.029%)
4427
Total Rank
40
Citations
1.667
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2018-02-08
Curated by:
Hao Zhang [2018-03-14]
Hao Zhang [2018-02-24]
Dong Zou [2018-02-13]