David Holloway
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Research Interests
- Spatial Pattern Formation in Biological Development
Biography
Work experience:
Postdoctoral Fellowships (1995-1998): University of British Columbia; Copenhagen University; Simon Fraser University
BCIT Mathematics Department, 1998-
Education:
B.A. Chemistry cum laude, 1989. Minor in Classical Studies. University of Puget Sound.
Ph.D. Physical Chemistry, 1995, University of British Columbia
Postdoctoral Fellowships: 1996, Chemistry, University of British Columbia; 1997, Chemistry, University of Copenhagan (U.S. National Science Foundation Fellowship; 1998, Computing Science, Simon Fraser University (NSF Fellowship)
Recent Citations for David Holloway
- Mid-embryo patterning and precision in Drosophila segmentation: krüppel dual regulation of hunchback
- Stochastic dynamics of gene expression in developing fly embryos
- Analysis of pattern precision shows that Drosophila segmentation develops substantial independence from gradients of maternal gene products
- Spatial bistability generates hunchback expression sharpness in the drosophila embryo
- Modeling the evolution of gene regulatory networks for spatial patterning in embryo development
- Using evolutionary computations to understand the design and evolution of gene and cell regulatory networks
- In silico evolution of the hunchback gene indicates redundancy in cis-regulatory organization and spatial gene expression
- Evolutionary design of gene networks: forced evolution by genomic parasites
- Gene expression noise in embryonic spatial patterning: reliable formation of the head-to-tail axis in the fruit fly
- Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in drosophila segmentation
- Variable patterning in fruit fly embryos due to basins of attraction in underlying gene regulatory dynamics
- In silico evolution of gene cooption in pattern-forming gene networks
- Design of a dynamic model of genes with multiple autonomous regulatory modules by evolutionary computations
- Retroviral genetic algorithms: umplementation with tags and validation against benchmark functions
- New approaches to designing genes by evolution in the computer
- Evolution in silico of genes with multiple regulatory modules on the example of the Drosophila segmentation gene hunchback
- Sharp borders from fuzzy gradients
- Noise in the segmentation gene network of Drosophila, with implications for mechanisms of body axis specification
- Making the body plan: precision in the genetic hierarchy of drosophila embryo segmentation
- Using EA to study the evolution of GRNs controlling biological development
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