New computational and biological protocols to better understand fungi using synthetic and systems biology

dc.contributor.advisorMarten, Mark R Srivastava, Ranjan
dc.contributor.authorEdwards, Harley Lee
dc.contributor.departmentChemical, Biochemical & Environmental Engineering
dc.contributor.programEngineering, Chemical and Biochemical
dc.date.accessioned2025-09-24T14:07:01Z
dc.date.issued2025-01-01
dc.description.abstractGenetic engineering through synthetic biology, and systems biology through omics data analysis, are two areas of research which have potential applications in all domains of life. These fields encompass the entire search space of biological life, where genotypic possibilities and combinatorial molecular interactions are greater in number than there are humans on this planet. This work examines novel frontiers in both technologies in the scope of fungal host-cell platforms, with the hope of developing new knowledge and protocols which have potential applications in all of biology. Chapters 2 and 3 are studies in synthetic biology in Y. lipolytica, where chapters 4 and 5 are studies involving systems biology in A. nidulans. Chapters 2 and 4 are computationally focused, whereas chapters 3 and 5 focus on biological phenomena. Together, these chapters will introduce you to the research development cycle of synthetic and systems biology, from synthetic gene network simulation and genetic pathway manipulation to systems scale data analysis used for data driven hypotheses in fungal systems biology.
dc.formatapplication:pdf
dc.genredissertation
dc.identifierdoi:10.13016/m2syr8-njlj
dc.identifier.other13108
dc.identifier.urihttp://hdl.handle.net/11603/40251
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Chemical, Biochemical & Environmental Engineering Department Collection
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu
dc.sourceOriginal File Name: Edwards_umbc_0434D_13108.pdf
dc.subjectCRISPR
dc.subjectFungal Morphology
dc.subjectProteomics
dc.subjectSynthetic Biology
dc.subjectSystems Biology
dc.subjectTranscriptomics
dc.titleNew computational and biological protocols to better understand fungi using synthetic and systems biology
dc.typeText
dcterms.accessRightsDistribution Rights granted to UMBC by the author.

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