Articles producció científica> Bioquímica i Biotecnologia

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

  • Identification data

    Identifier: imarina:6385488
    Authors:
    Puigbò PGuzmán ERomeu AGarcia-Vallvé S
    Abstract:
    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 precomputed 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. © 2007 The Author(s).
  • Others:

    Author, as appears in the article.: Puigbò P; Guzmán E; Romeu A; Garcia-Vallvé S
    Department: Bioquímica i Biotecnologia
    URV's Author/s: Garcia Vallve, Santiago / GUZMAN DESCARREGA, EDUARDO / PUIGBÒ AVALOS, PEDRO / ROMEU FIGUEROLA, ANTONIO RAMÓN / ROMEU MORENO, ANDRÉS
    Keywords: Translation Transfer-rnas Tool Synthetic genes Genomes Expression Escherichia-coli Designer Bias Adaptation index
    Abstract: 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 precomputed 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. © 2007 The Author(s).
    Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Química Nutrição Medicina ii Medicina i Matemática / probabilidade e estatística Interdisciplinar Genetics Farmacia Engenharias ii Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência da computação Biotecnología Biodiversidade Biochemistry & molecular biology Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 0305-1048
    Author's mail: santi.garcia-vallve@urv.cat
    Author identifier: 0000-0002-0348-7497
    Last page: W131
    Record's date: 2024-10-05
    Journal volume: 35
    Papper version: info:eu-repo/semantics/publishedVersion
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Nucleic Acids Research. 35 (SUPPL.2): W126-31
    APA: Puigbò P; Guzmán E; Romeu A; Garcia-Vallvé S (2007). OPTIMIZER: A web server for optimizing the codon usage of DNA sequences. Nucleic Acids Research, 35(SUPPL.2), W126-31. DOI: 10.1093/nar/gkm219
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2007
    First page: W126
    Publication Type: Journal Publications
  • Keywords:

    Biochemistry & Molecular Biology,Genetics
    Translation
    Transfer-rnas
    Tool
    Synthetic genes
    Genomes
    Expression
    Escherichia-coli
    Designer
    Bias
    Adaptation index
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Nutrição
    Medicina ii
    Medicina i
    Matemática / probabilidade e estatística
    Interdisciplinar
    Genetics
    Farmacia
    Engenharias ii
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências agrárias i
    Ciência da computação
    Biotecnología
    Biodiversidade
    Biochemistry & molecular biology
    Astronomia / física
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