A Multi-Objective Genetic Algorithm that Employs a Hybrid Approach for Isolating Codon Usage Bias Indicative of Translational EfficiencyProceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering
Document TypeConference Proceeding
AbstractIsolation of translational efficiency bias can have important applications in gene expression prediction and heterologous protein production. In some genomes the presence of a high GC(AT)-content bias can confound the isolation of translational efficiency bias. In other organisms translational efficiency bias is weak making it difficult to isolate. Described here is a multi-objective genetic algorithm that improves the isolation of translational efficiency bias in Streptomyces coelicolor A3(2) and Pseudomonas aeruginosa PAO1, two organisms shown to have high GC-content and weak translational efficiency bias.
Citation InformationDouglas W. Raiford, Dan E. Krane, Travis E. Doom and Michael L. Raymer. "A Multi-Objective Genetic Algorithm that Employs a Hybrid Approach for Isolating Codon Usage Bias Indicative of Translational Efficiency" Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering (2007) p. 278 - 285 ISSN: 9781424415090
Available at: http://works.bepress.com/michael_raymer/28/