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A Comparative Analysis of Genome Complexity and Manufacturability with Engineering Benchmarks

Riolo, Joseph S
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627663196868138

Abstract Details

2021, MS, University of Cincinnati, Engineering and Applied Science: Electrical Engineering.
When knowledge will have advanced to a state that includes a predictive understanding of the relationship between genome sequence and organism phenotype it will be possible for future engineers to design and produce synthetic organisms. However, the possibility of synthetic biology does not necessarily guarantee its feasibility, in much the same way that the possibility of a brute force attack fails to ensure the timely breaking of robust encryption. The size and range of natural genomes, from a few million base pairs for bacteria to over 100 billion base pairs for some plants, suggests it is necessary to evaluate the practical limits of designing genomes of similar complexity. This analysis characterizes the complexity of natural genomes, compares them to existing engineering benchmarks, and shows that existing large software programs are on similar scale with the genome of complex natural organisms. Additionally, an evaluation of the costs associated with synthetic biology projects is provided for consideration of economic feasibility.
Andrew Steckl, Ph.D. (Committee Chair)
Gowtham Atluri, Ph.D. (Committee Member)
Wen-Ben Jone, Ph.D. (Committee Member)
39 p.
Electrical Engineering
Synthetic Biology; Feasibility

Recommended Citations

Citations

  • Riolo, J. S. (2021). A Comparative Analysis of Genome Complexity and Manufacturability with Engineering Benchmarks [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627663196868138

    APA Style (7th edition)

  • Riolo, Joseph. A Comparative Analysis of Genome Complexity and Manufacturability with Engineering Benchmarks. 2021. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627663196868138.

    MLA Style (8th edition)

  • Riolo, Joseph. "A Comparative Analysis of Genome Complexity and Manufacturability with Engineering Benchmarks." Master's thesis, University of Cincinnati, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1627663196868138

    Chicago Manual of Style (17th edition)

ucin1627663196868138
73
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This open access ETD is published by University of Cincinnati and OhioLINK.