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a catalog of biological databases

e.g., animal; RNA; Methylation; China

Database information

CEG (Cluster of Essential Genes)

General information

Description: CEG is a database of essential gene clusters.
Year founded: 2013
Last update: 2015-06-27
Version: v2.0
Real time : Checking...
Country/Region: China
Data type:
Data object:
Database category:
Major organism:

Contact information

University/Institution: University of Electronic Science and Technology of China
Address: Chengdu 610054, China
City: Chengdu
Province/State: Sichuan
Country/Region: China
Contact name (PI/Team):
Contact email (PI/Helpdesk):

Record metadata

Created on: 2015-06-30
Curated by:
Mengwei Li [2016-03-31]
Mengwei Li [2016-02-20]
Mengwei Li [2015-12-01]


All databases:
1995/4549 (56.166%)
Standard ontology and nomenclature:
91/182 (50.549%)
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CEG: a database of essential gene clusters. [PMID: 24209780]
Ye YN, Hua ZG, Huang J, Rao N, Guo FB.

Essential genes are indispensable for the survival of living entities. They are the cornerstones of synthetic biology, and are potential candidate targets for antimicrobial and vaccine design. Here we describe the Cluster of Essential Genes (CEG) database, which contains clusters of orthologous essential genes. Based on the size of a cluster, users can easily decide whether an essential gene is conserved in multiple bacterial species or is species-specific. It contains the similarity value of every essential gene cluster against human proteins or genes. The CEG_Match tool is based on the CEG database, and was developed for prediction of essential genes according to function. The database is available at Properties contained in the CEG database, such as cluster size, and the similarity of essential gene clusters against human proteins or genes, are very important for evolutionary research and drug design. An advantage of CEG is that it clusters essential genes based on function, and therefore decreases false positive results when predicting essential genes in comparison with using the similarity alignment method.

BMC Genomics. 2013:14() | 18 Citations (from Europe PMC, 2020-02-15)