Puigbò Pere, Romeu Antoni, Garcia-Vallvé Santiago
Evolutionary Genomics Group, Biochemistry and Biotechnology Department, Faculty of Chemistry, Rovira i Virgili University (URV), c/Marcel-li Domingo, s/n. Campus Sescelades, 43007 Tarragona, Spain.
Nucleic Acids Res. 2008 Jan;36(Database issue):D524-7. doi: 10.1093/nar/gkm831. Epub 2007 Oct 11.
The highly expressed genes database (HEG-DB) is a genomic database that includes the prediction of which genes are highly expressed in prokaryotic complete genomes under strong translational selection. The current version of the database contains general features for almost 200 genomes under translational selection, including the correspondence analysis of the relative synonymous codon usage for all genes, and the analysis of their highly expressed genes. For each genome, the database contains functional and positional information about the predicted group of highly expressed genes. This information can also be accessed using a search engine. Among other statistical parameters, the database also provides the Codon Adaptation Index (CAI) for all of the genes using the codon usage of the highly expressed genes as a reference set. The 'Pathway Tools Omics Viewer' from the BioCyc database enables the metabolic capabilities of each genome to be explored, particularly those related to the group of highly expressed genes. The HEG-DB is freely available at http://genomes.urv.cat/HEG-DB.
高表达基因数据库（HEG-DB）是一个基因组数据库，它能预测在强翻译选择下原核生物完整基因组中哪些基因会高表达。该数据库的当前版本包含了近200个处于翻译选择下的基因组的一般特征，包括对所有基因的相对同义密码子使用情况的对应分析，以及对其高表达基因的分析。对于每个基因组，数据库都包含有关预测的高表达基因组的功能和位置信息。这些信息也可以通过搜索引擎获取。除其他统计参数外，该数据库还以高表达基因的密码子使用情况作为参考集，提供了所有基因的密码子适应指数（CAI）。来自BioCyc数据库的“通路工具组学浏览器”能用于探索每个基因组的代谢能力，特别是那些与高表达基因组相关的代谢能力。HEG-DB可在http://genomes.urv.cat/HEG-DB免费获取。
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