Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

The gene-specific codon counting database

General information

URL: http://www.cs.albany.edu/~tumu/GSCC.html
Full name: The gene-specific codon counting database
Description: a genome-based catalog of one-,two-,three-,four- and five-codon combinations present in Saccharomyces cerevisiae genes
Year founded: 2012
Last update: 2012-02-08
Version: V1.0
Accessibility:
Unaccessible
Country/Region: United States

Classification & Tag

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

Contact information

University/Institution: State University of New York Albany
Address: Albany,NY 12222,USA
City: Providence
Province/State: NY
Country/Region: United States
Contact name (PI/Team): Thomas J. Begley
Contact email (PI/Helpdesk): tbegley@uamail.albany.edu

Publications

22323063
The gene-specific codon counting database: a genome-based catalog of one-, two-, three-, four- and five-codon combinations present in Saccharomyces cerevisiae genes. [PMID: 22323063]
Tumu S, Patil A, Towns W, Dyavaiah M, Begley TJ.

A codon consists of three nucleotides and functions during translation to dictate the insertion of a specific amino acid in a growing peptide or, in the case of stop codons, to specify the completion of protein synthesis. There are 64 possible single codons and there are 4096 double, 262?144 triple, 16?777?216 quadruple and 1?073?741?824 quintuple codon combinations available for use by specific genes and genomes. In order to evaluate the use of specific single, double, triple, quadruple and quintuple codon combinations in genes and gene networks, we have developed a codon counting tool and employed it to analyze 5780 Saccharomyces cerevisiae genes. We have also developed visualization approaches, including codon painting, combination and bar graphs, and have used them to identify distinct codon usage patterns in specific genes and groups of genes. Using our developed Gene-Specific Codon Counting Database, we have identified extreme codon runs in specific genes. We have also demonstrated that specific codon combinations or usage patterns are over-represented in genes whose corresponding proteins belong to ribosome or translation-associated biological processes. Our resulting database provides a mineable list of multi-codon data and can be used to identify unique sequence runs and codon usage patterns in individual and functionally linked groups of genes.

Database (Oxford). 2012:2012() | 24 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4273/6895 (38.042%)
Gene genome and annotation:
1319/2021 (34.785%)
4273
Total Rank
24
Citations
1.846
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2015-06-20
Curated by:
Lina Ma [2018-07-03]
Zhang Zhang [2016-04-26]
Guangyu Wang [2016-04-01]
Guangyu Wang [2015-12-06]
Guangyu Wang [2015-06-26]