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Molecular Biology

Dissertations, Master's Theses and Master's Reports

Theses/Dissertations

2021

Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

Auxin-Induced Degradation Of Dream Proteins, Lin-9 And Lin-54, In Caenorhabditis Elegans, Karli E. Chosa Jan 2021

Auxin-Induced Degradation Of Dream Proteins, Lin-9 And Lin-54, In Caenorhabditis Elegans, Karli E. Chosa

Dissertations, Master's Theses and Master's Reports

The Dp, Retinoblastoma, E2F, And MuvB (DREAM) complex mediates transcriptional repression and is highly conserved throughout a number of species, including vertebrates, Drosophila melanogaster, and Caenorhabditis elegans. Differing from mammalian DREAM, C.elegans DRM, appears to act solely in a repressive role, with the MuvB subcomplex (LIN-9, LIN-37, LIN-52, LIN-53, and LIN-54) playing a key role in the repression of genes. In this study, we use the auxin-inducible degron (AID) system, an effective, fast-acting, tool used in the degradation of degron-tagged proteins to individually deplete two key proteins of the MuvB subcomplex, LIN-9 and LIN-54, in C. elegans. The …


Applications Of Machine Learning In Microbial Forensics, Ryan B. Ghannam Jan 2021

Applications Of Machine Learning In Microbial Forensics, Ryan B. Ghannam

Dissertations, Master's Theses and Master's Reports

Microbial ecosystems are complex, with hundreds of members interacting with each other and the environment. The intricate and hidden behaviors underlying these interactions make research questions challenging – but can be better understood through machine learning. However, most machine learning that is used in microbiome work is a black box form of investigation, where accurate predictions can be made, but the inner logic behind what is driving prediction is hidden behind nontransparent layers of complexity.

Accordingly, the goal of this dissertation is to provide an interpretable and in-depth machine learning approach to investigate microbial biogeography and to use micro-organisms as …