Abstract:
BACKGROUND: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. DESCRIPTION: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 http://cefg.uestc.edu.cn/ceg. CONCLUSIONS: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.
journal_name
BMC Genomicsjournal_title
BMC genomicsauthors
Ye YN,Hua ZG,Huang J,Rao N,Guo FBdoi
10.1186/1471-2164-14-769subject
Has Abstractpub_date
2013-11-09 00:00:00pages
769issn
1471-2164pii
1471-2164-14-769journal_volume
14pub_type
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