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All Outputs (3)

Functional genetic elements for controlling gene expression in Cupriavidus necator H16 (2018)
Journal Article
Alagesan, S., Hanko, E. K., Malys, N., Ehsaan, M., Winzer, K., & Minton, N. P. (2018). Functional genetic elements for controlling gene expression in Cupriavidus necator H16. Applied and Environmental Microbiology, https://doi.org/10.1128/AEM.00878-18

A robust and predictable control of gene expression plays an important role in synthetic biology and biotechnology applications. Development and quantitative evaluation of functional genetic elements such as constitutive and inducible promoters, as w... Read More about Functional genetic elements for controlling gene expression in Cupriavidus necator H16.

A transcription factor-based biosensor for detection of itaconic acid (2018)
Journal Article
Hanko, E. K., Minton, N. P., & Malys, N. (2018). A transcription factor-based biosensor for detection of itaconic acid. ACS Synthetic Biology, 7(5), 1436–1446. https://doi.org/10.1021/acssynbio.8b00057

Itaconic acid is an important platform chemical that can easily be incorporated into polymers and has the potential to replace petrochemical-based acrylic or methacrylic acid. A number of microorganisms have been developed for the biosynthesis of ita... Read More about A transcription factor-based biosensor for detection of itaconic acid.

Dispersion of relative importance values contributes to the ranking uncertainty: sensitivity analysis of Multiple Criteria Decision-Making methods (2018)
Journal Article
Maliene, V., Dixon-Gough, R., & Malys, N. (2018). Dispersion of relative importance values contributes to the ranking uncertainty: sensitivity analysis of Multiple Criteria Decision-Making methods. Applied Soft Computing, 67, https://doi.org/10.1016/j.asoc.2018.03.003

Multiple Criteria Decision-Making (MCDM) methods are widely used in research and industrial applications. These methods rely heavily on expert perceptions and are often sensitive to the assumptions made. The reliability and robustness of MCDM analysi... Read More about Dispersion of relative importance values contributes to the ranking uncertainty: sensitivity analysis of Multiple Criteria Decision-Making methods.