HEG-DB: A database of predicted highly expressed genes in prokaryotic complete genomes under translational selection

Pere Puigbò*, Antoni Romeu, Santiago Garcia-Vallvé

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

69 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)D524-D527
JournalNucleic acids research
Volume36
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Jan 2008
Externally publishedYes

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