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Full-Text Articles in Genetics and Genomics
An Automatic Framework For Embryonic Localization Using Edges In A Scale Space, Zachary Bessinger
An Automatic Framework For Embryonic Localization Using Edges In A Scale Space, Zachary Bessinger
Masters Theses & Specialist Projects
Localization of Drosophila embryos in images is a fundamental step in an automatic computational system for the exploration of gene-gene interaction on Drosophila. Contour extraction of embryonic images is challenging due to many variations in embryonic images. In the thesis work, we develop a localization framework based on the analysis of connected components of edge pixels in a scale space. We propose criteria to select optimal scales for embryonic localization. Furthermore, we propose a scale mapping strategy to compress the range of a scale space in order to improve the efficiency of the localization framework. The effectiveness of the proposed …
Control Of Neuroendocrine Cell Physiology By A Single Transcription Factor, Drosophila Basic Helix Loop Helix Regulator Dimmed, Tarik Hadzic
Control Of Neuroendocrine Cell Physiology By A Single Transcription Factor, Drosophila Basic Helix Loop Helix Regulator Dimmed, Tarik Hadzic
All Theses and Dissertations (ETDs)
Neuroendocrine cells feature a large capacity for the processing, accumulation and regulated release of bioactive peptides and peptide hormones. The ultrastructural correlate of this regulated secretory pathway is a specialized organelle, called a dense core vesicle: DCV). DCVs are typically larger than conventional, small synaptic vesicles. Past work has identified intrinsic DCV proteins: non-cargo proteins, like the processing enzyme, carboxypeptidase) or ancillary ones that play a role in DCV trafficking and exocytosis: like CAPS, the Ca2+-dependent activator protein for secretion). Currently, there is a lack of understanding of the developmental and physiological mechanisms that permit neurosecretory cells to coordinate and …
The Drosophila Interactions Database: Integrating The Interactome And Transcriptome, Thilakam Murali
The Drosophila Interactions Database: Integrating The Interactome And Transcriptome, Thilakam Murali
Wayne State University Dissertations
In this thesis I describe the integration of heterogeneous interaction data for Drosophila into DroID, the Drosophilainteractions database, making it a one-stop public resource for interaction data. I have also made it possible to filter the interaction data using gene expression data to generate context-relevant networks making DroID a one-of-a kind resource for biologists. In the two years since the upgraded DroID has been available, several studies have used the heterogeneous interaction data in DroID to advance our understanding of Drosophila biology thus validating the need for such a resource for biologists. In addition to this, I have identified …