ArticleNucleic acids research2008
HEG-DB: a database of predicted highly expressed genes in prokaryotic complete genomes under translational selection.
Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed.
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- Design of a multi-epitope vaccine against goatpox virus using an immunoinformatics approach.Frontiers in cellular and infection microbiology · 2023Article
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- Genome mining reveals abiotic stress resistance genes in plant genomes acquired from microbesFrontiers in plant science · 2022Article
- The Dynamic Codon Biaser: calculating prokaryotic codon usage biases.Microbial genomics · 2021Article
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- Phenotypic and Phylogenetic Characterization of Cu Homeostasis amongPathogens (Basel, Switzerland) · 2021Article
- Two novel fish paralogs provide insights into the Rid family of imine deaminases active in pre-empting enamine/imine metabolic damage.Scientific reports · 2020Article
- Whole Genome Sequencing and Comparative Genomic Analyses ofMicroorganisms · 2020Article
- Exploiting Prophage-Mediated Lysis for Biotherapeutic Release byApplied and environmental microbiology · 2019Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.