Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

EPGD

General information

URL: http://epgd.biosino.org/EPGD/
Full name: Eukaryotic Paralog Group Database
Description: The database is gene-centered and organized by paralog family. It focused on the paralogs and the duplication events in the evolution.
Year founded: 2008
Last update: 2008-06-21
Version: v0.2
Accessibility:
Accessible
Country/Region: China

Classification & Tag

Data type:
DNA
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences
Address: Bioinformatics Center, Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yueyang Road, P. R. China
City: Shanghai
Province/State: Shanghai
Country/Region: China
Contact name (PI/Team): Guohui Ding
Contact email (PI/Helpdesk): ghding@gmail.com

Publications

17984073
EPGD: a comprehensive web resource for integrating and displaying eukaryotic paralog/paralogon information. [PMID: 17984073]
Ding G, Sun Y, Li H, Wang Z, Fan H, Wang C, Yang D, Li Y.

Gene duplication is common in all three domains of life, especially in eukaryotic genomes. The duplicates provide new material for the action of evolutionary forces such as selection or genetic drift. Here we describe a sophisticated procedure to extract duplicated genes (paralogs) from 26 available eukaryotic genomes, to pre-calculate several evolutionary indexes (evolutionary rate, synonymous distance/clock, transition redundant exchange clock, etc.) based on the paralog family, and to identify block or segmental duplications (paralogons). We also constructed an internet-accessible Eukaryotic Paralog Group Database (EPGD; http://epgd.biosino.org/EPGD/). The database is gene-centered and organized by paralog family. It focuses on paralogs and evolutionary duplication events. The paralog families and paralogons can be searched by text or sequence, and are downloadable from the website as plain text files. The database will be very useful for both experimentalists and bioinformaticians interested in the study of duplication events or paralog families.

Nucleic Acids Res. 2008:36(Database issue) | 13 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
5681/6895 (17.621%)
Phylogeny and homology:
243/302 (19.868%)
5681
Total Rank
13
Citations
0.765
z-index

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Record metadata

Created on: 2015-12-20
Curated by:
Lina Ma [2018-06-15]
Jian Sang [2016-04-04]
Mengwei Li [2016-02-21]