| URL: | http://www.ucsf.edu/pgdb |
| Full name: | The Prostate Gene Database |
| Description: | The Prostate Gene Database (PGDB) is a curated and integrated database of genes or genomic loci related to the human prostate and prostatic diseases. Currently, PGDB covers genes involved in a number of molecular and genetic events of the prostate including gene amplification, mutation, gross deletion, methylation, polymorphism, linkage and over-expression, as published in the literature. |
| Year founded: | 2003 |
| Last update: | |
| Version: | |
| Accessibility: |
Unaccessible
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| Country/Region: | United States |
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| University/Institution: | University of California San Francisco |
| Address: | Department of Urology, Veterans Affairs Medical Center, and University of California San Francisco, 4150 Clement Street, San Francisco, CA 94121, USA. |
| City: | San Francisco |
| Province/State: | CA |
| Country/Region: | United States |
| Contact name (PI/Team): | Long-Cheng Li |
| Contact email (PI/Helpdesk): | urologylab@aol.com |
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PGDB: a curated and integrated database of genes related to the prostate. [PMID: 12520005]
The Prostate Gene Database (PGDB: http://www.ucsf.edu/pgdb) is a curated and integrated database of genes or genomic loci related to the human prostate and prostatic diseases. Currently, PGDB covers genes involved in a number of molecular and genetic events of the prostate including gene amplification, mutation, gross deletion, methylation, polymorphism, linkage and over-expression, as published in the literature. Genes that are specifically expressed in prostate, as evidenced by analysis of data from expressed sequence tags (ESTs) and serial analysis of gene expression (SAGE), are also included. There are a total of 165 unique entries in the database. Users can either browse or query the PGDB through a web interface. For each gene, in addition to basic gene information and rich cross-references to other databases, inclusive and relevant literature references are provided to support the inclusion of the gene in the database. Detailed expression data calculated from the UniGene and SAGEmap databases are also presented. |