A Multi-Objective Genetic Algorithm that Employs a Hybrid Approach for Isolating Codon Usage Bias Indicative of Translational Efficiency

Authors

Douglas W. Raiford, Wright State University - Main Campus
Dan E. Krane, Wright State University - Main CampusFollow
Travis E. Doom, Wright State University - Main CampusFollow
Michael L. Raymer, Wright State University - Main CampusFollow

Document Type

Conference Proceeding

Publication Date

10-2007

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.

Repository Citation

Raiford, D. W., Krane, D. E., Doom, T. E., & Raymer, M. L. (2007). 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, 278-285.
https://corescholar.libraries.wright.edu/knoesis/534

DOI

10.1109/BIBE.2007.4375577