URL: | https://hive.biochemistry.gwu.edu/review/codon2 |
Full name: | Codon/Codon Pair Usage Tables |
Description: | Building on our recent HIVE-Codon Usage Tables, we constructed a new database to include genomic codon-pair and dinucleotide statistics of all organisms with sequenced genome. Select the type of data (genomic, mitochondrion, chloroplast, or several other plastid genomes) that you wish to analyze. |
Year founded: | 2019 |
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Country/Region: | United States |
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University/Institution: | Cleveland State University |
Address: | Center for Gene Regulation in Health and Disease, Cleveland State University, Cleveland, OH 44115, USA |
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Country/Region: | United States |
Contact name (PI/Team): | Komar AA |
Contact email (PI/Helpdesk): | a.komar@csuohio.edu |
Codon and Codon-Pair Usage Tables (CoCoPUTs): Facilitating Genetic Variation Analyses and Recombinant Gene Design. [PMID: 31029701]
Usage of sequential codon-pairs is non-random and unique to each species. Codon-pair bias is related to but clearly distinct from individual codon usage bias. Codon-pair bias is thought to affect translational fidelity and efficiency and is presumed to be under the selective pressure. It was suggested that changes in codon-pair utilization may affect human disease more significantly than changes in single codons. Although recombinant gene technologies often take codon-pair usage bias into account, codon-pair usage data/tables are not readily available, thus potentially impeding research efforts. The present computational resource (https://hive.biochemistry.gwu.edu/review/codon2) systematically addresses this issue. Building on our recent HIVE-Codon Usage Tables, we constructed a new database to include genomic codon-pair and dinucleotide statistics of all organisms with sequenced genome, available in the GenBank. We believe that the growing understanding of the importance of codon-pair usage will make this resource an invaluable tool to many researchers in academia and pharmaceutical industry. |