Skip to main content
Presentation
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
  • Douglas W. Raiford, Wright State University - Main Campus
  • Dan E. Krane, Wright State University - Main Campus
  • Travis E. Doom, Wright State University - Main Campus
  • Michael L. Raymer, Wright State University - Main Campus
Document Type
Conference Proceeding
Publication Date
10-1-2007
Abstract

Isolation 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.

Comments

Presented at the 7th IEEE International Conference on Bioinformatics and Bioengineering, Boston, MA, October 14-17, 2007.

Posted with permission from IEEE.

DOI
10.1109/BIBE.2007.4375577
Citation Information
Douglas 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/