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Int J Cardiol. 2017 Apr 1;232:117-120. doi: 10.1016/j.ijcard.2017.01.043. Epub 2017 Jan 5.

HGDB: A web retrieving cardiovascular-associated gene data.

Author information

1
Biochemistry Department, School of Medicine, Shiraz University of Medical Sciences, Iran.
2
West Tehran Islamic Azad University, School of Engineering, Iran.
3
Cellular and Molecular Research Center, Biochemistry Department, Iran University of Medical Sciences, Iran.
4
Cellular and Molecular Research Center, Biochemistry Department, Iran University of Medical Sciences, Iran. Electronic address: nbsmmsbn@iums.ac.ir.

Abstract

BACKGROUND:

The use of data obtained from high throughput techniques in genetics studies is an essential subject in biology. The system approaches of networking and enriching may improve the data management. Here, we annotated the molecular features for cardiovascular-associated genes and presented the HGDB search-based database (www.hgdb.ir).

METHODS:

The initial seed data was primarily used from Gene Ontology and was automatically enriched with other molecular features. The data was managed in a SQL popular and open source.

RESULTS:

The search tabs on the HGDB homepage were applied for ID/Name Gene, chromosome, cell organelle and all gene options. The search results were presented on the gene text-based and source link-based descriptions.

CONCLUSIONS:

The HGDB is a friendly website to present gene data in the cardiovascular field.

KEYWORDS:

Cardiovascular disease; Database; Gene; HGDB

PMID:
28087174
DOI:
10.1016/j.ijcard.2017.01.043
[Indexed for MEDLINE]

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