Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1186/1471-2164-14-769 http://scihub22266oqcxt.onion/10.1186/1471-2164-14-769 C4046693!4046693!24209780     free     free     free       BMC+Genomics 2013 ; 14 (1): ä Nephropedia Template TP {{tp|p=24209780|t=2013. CEG: a database of essential gene clusters |pdf=|usr=}}{{24209780}} gab.com Text CEG: a database of essential gene clusters JO: BMC Genomics http://www.kidney.de/pget.php?&tw=1&pmid=24209780 #FOAvip 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. Electronic supplementary material: The online version of this article (doi:10.1186/1471-2164-14-769) contains supplementary material, which is available to authorized users. Twit Text FOAVip CEG: a database of essential gene clusters ????BMC Genomics http://www.kidney.de/pget.php?&tw=1&pmid=24209780 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24209780 #FOAvip English Wikipedia <ref>{{Cite pmid|24209780}}</ref> CEG: a database of essential gene clusters #MMPMID24209780 Ye YN; Hua ZG; Huang J; Rao N; Guo FB BMC Genomics 2013[]; 14 (1): ä PMID24209780show ga 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. Electronic supplementary material: The online version of this article (doi:10.1186/1471-2164-14-769) contains supplementary material, which is available to authorized users. äCEG: a database of essential gene clusters (epmc).pdf DeepDyve Pubget Overpricing