Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

GOLD.db

General information

URL: http://gold.tugraz.at
Full name: Genomics of Lipid-Associated Disorders Database
Description: The GOLD.db http://gold.tugraz.at provides a reference for pathways and information about the relevant genes and proteins in an efficiently organized way. The main focus was to provide biological pathways with image maps and visual pathway information for lipid metabolism and obesity-related research. This database provides also the possibility to map gene expression data individually to each pathway.
Year founded: 2004
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: Austria

Classification & Tag

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Contact information

University/Institution: Graz University of Technology
Address:
City:
Province/State:
Country/Region: Austria
Contact name (PI/Team): Zlatko Trajanoski
Contact email (PI/Helpdesk): zlatko.trajanoski@tugraz.at

Publications

15588328
GOLD.db: genomics of lipid-associated disorders database. [PMID: 15588328]
Hackl H, Maurer M, Mlecnik B, Hartler J, Stocker G, Miranda-Saavedra D, Trajanoski Z.

BACKGROUND: The GOLD.db (Genomics of Lipid-Associated Disorders Database) was developed to address the need for integrating disparate information on the function and properties of genes and their products that are particularly relevant to the biology, diagnosis management, treatment, and prevention of lipid-associated disorders.
DESCRIPTION: The GOLD.db http://gold.tugraz.at provides a reference for pathways and information about the relevant genes and proteins in an efficiently organized way. The main focus was to provide biological pathways with image maps and visual pathway information for lipid metabolism and obesity-related research. This database provides also the possibility to map gene expression data individually to each pathway. Gene expression at different experimental conditions can be viewed sequentially in context of the pathway. Related large scale gene expression data sets were provided and can be searched for specific genes to integrate information regarding their expression levels in different studies and conditions. Analytic and data mining tools, reagents, protocols, references, and links to relevant genomic resources were included in the database. Finally, the usability of the database was demonstrated using an example about the regulation of Pten mRNA during adipocyte differentiation in the context of relevant pathways.
CONCLUSIONS: The GOLD.db will be a valuable tool that allow researchers to efficiently analyze patterns of gene expression and to display them in a variety of useful and informative ways, allowing outside researchers to perform queries pertaining to gene expression results in the context of biological processes and pathways.

BMC Genomics. 2004:5(1) | 9 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6256/6895 (9.282%)
Pathway:
407/451 (9.978%)
6256
Total Rank
9
Citations
0.429
z-index

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Record metadata

Created on: 2018-02-09
Curated by:
Lin Liu [2022-08-11]
Hao Zhang [2018-03-03]
Yang Zhang [2018-02-09]