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Title: EuGene: maximizing synthetic gene design for heterologous expression
Author: Gaspar, Paulo
Oliveira, José Luís
Frommlet, Jörg
Santos, Manuel A. S.
Moura, Gabriela
Issue Date: 15-Oct-2012
Publisher: Oxford University Press
Abstract: Numerous software applications exist to deal with synthetic gene design, granting the field of heterologous expression a significant support. However, their dispersion requires the access to different tools and online services in order to complete one single project. Analyzing codon usage, calculating codon adaptation index (CAI), aligning orthologs and optimizing genes are just a few examples. A software application, EuGene, was developed for the optimization of multiple gene synthetic design algorithms. In a seamless automatic form, EuGene calculates or retrieves genome data on codon usage (relative synonymous codon usage and CAI), codon context (CPS and codon pair bias), GC content, hidden stop codons, repetitions, deleterious sites, protein primary, secondary and tertiary structures, gene orthologs, species housekeeping genes, performs alignments and identifies genes and genomes. The main function of EuGene is analyzing and redesigning gene sequences using multi-objective optimization techniques that maximize the coding features of the resulting sequence.
Peer review: yes
DOI: 10.1093/bioinformatics/bts465
ISSN: 1367-4803
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