Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

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
Last update:
Version:
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Accessible
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Country/Region: United States

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Cleveland State University
Address: Center for Gene Regulation in Health and Disease, Cleveland State University, Cleveland, OH 44115, USA
City:
Province/State:
Country/Region: United States
Contact name (PI/Team): Komar AA
Contact email (PI/Helpdesk): a.komar@csuohio.edu

Publications

31029701
Codon and Codon-Pair Usage Tables (CoCoPUTs): Facilitating Genetic Variation Analyses and Recombinant Gene Design. [PMID: 31029701]
Aikaterini Alexaki, Jacob Kames, David D Holcomb, John Athey, Luis V Santana-Quintero, Phuc Vihn Nguyen Lam, Nobuko Hamasaki-Katagiri, Ekaterina Osipova, Vahan Simonyan, Haim Bar, Anton A Komar, Chava Kimchi-Sarfaty

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.

J. Mol. Biol.. 2019:431(13) | 62 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
845/6000 (85.933%)
Health and medicine:
188/1394 (86.585%)
845
Total Rank
60
Citations
12
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Record metadata

Created on: 2019-09-27
Curated by:
furrukh mehmood [2019-11-07]
furrukh mehmood [2019-10-08]
furrukh mehmood [2019-09-27]