Skip Navigation



Nucleic Acids Research Advance Access published online on April 16, 2007

Nucleic Acids Research, doi:10.1093/nar/gkm219
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (4423K) Freely available
Right arrow Screen PDF (432K) Freely available
Right arrowOA All Versions of this Article:
35/suppl_2/W126    most recent
gkm219v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Puigbò, P.
Right arrow Articles by Garcia-Vallvé, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Puigbò, P.
Right arrow Articles by Garcia-Vallvé, S.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.


Web Server Paper

OPTIMIZER: a web server for optimizing the codon usage of DNA sequences

Pere Puigbò1, Eduard Guzmán1,2, Antoni Romeu1 and Santiago Garcia-Vallvé1,*

1Evolutionary Genomics Group, Biochemistry and Biotechnology Department, Faculty of Chemistry, Rovira i Virgili University (URV), c/Marcel·li Domingo, s/n. Campus Sescelades, 43007 Tarragona, Spain and 2Institut Català de la Salut, Àrea Bàsica de Salut, Tarragona 2, Spain

*To whom correspondence should be addressed. Tel: +34 977558778; Fax: +34 977558232; Email: santi.garcia-vallve{at}urv.net

Received January 29, 2007. Revised March 22, 2007. Accepted March 28, 2007.

OPTIMIZER is an on-line application that optimizes the codon usage of a gene to increase its expression level. Three methods of optimization are available: the ‘one amino acid–one codon’ method, a guided random method based on a Monte Carlo algorithm, and a new method designed to maximize the optimization with the fewest changes in the query sequence. One of the main features of OPTIMIZER is that it makes it possible to optimize a DNA sequence using pre-computed codon usage tables from a predicted group of highly expressed genes from more than 150 prokaryotic species under strong translational selection. These groups of highly expressed genes have been predicted using a new iterative algorithm. In addition, users can use, as a reference set, a pre-computed table containing the mean codon usage of ribosomal protein genes and, as a novelty, the tRNA gene-copy numbers. OPTIMIZER is accessible free of charge at http://genomes.urv.es/OPTIMIZER.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Nucleic Acids ResHome page
M. Bode, S. Khor, H. Ye, M.-H. Li, and J. Y. Ying
TmPrime: fast, flexible oligonucleotide design software for gene synthesis
Nucleic Acids Res., July 1, 2009; 37(suppl_2): W214 - W221.
[Abstract] [Full Text] [PDF]


Home page
MicrobiologyHome page
A. Villegas and A. M. Kropinski
An analysis of initiation codon utilization in the Domain Bacteria - concerns about the quality of bacterial genome annotation
Microbiology, September 1, 2008; 154(9): 2559 - 2661.
[Abstract] [Full Text] [PDF]


Home page
Nucleic Acids ResHome page
P. Puigbo, A. Romeu, and S. Garcia-Vallve
HEG-DB: a database of predicted highly expressed genes in prokaryotic complete genomes under translational selection
Nucleic Acids Res., January 11, 2008; 36(suppl_1): D524 - D527.
[Abstract] [Full Text] [PDF]


Home page
Brief BioinformHome page
M. Brilli, R. Fani, and P. Lio
Current trends in the bioinformatic sequence analysis of metabolic pathways in prokaryotes
Brief Bioinform, January 1, 2008; 9(1): 34 - 45.
[Abstract] [Full Text] [PDF]


Home page
Genome ResHome page
A. K. Schmid, D. J. Reiss, A. Kaur, M. Pan, N. King, P. T. Van, L. Hohmann, D. B. Martin, and N. S. Baliga
The anatomy of microbial cell state transitions in response to oxygen
Genome Res., October 1, 2007; 17(10): 1399 - 1413.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.