Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

Life Sciences

Legacy Theses & Dissertations (2009 - 2024)

2022

Bioinformatics

Articles 1 - 2 of 2

Full-Text Articles in Entire DC Network

Vircy-Seq : A Protocol For Characterizing Viral Activity, Tyler James Dion Dec 2022

Vircy-Seq : A Protocol For Characterizing Viral Activity, Tyler James Dion

Legacy Theses & Dissertations (2009 - 2024)

The main purpose of pharmaceutical production is to produce safe effective medicine for patient use. In an effort to ensure patient safety constant surveillance for viruses takes place. The detection of a viral nucleic acid in a pharmaceutical production setting results in investigations to assess its infectious potential. This is an intensive, expensive process that entails many tests such as the observation of hemadsorption, cytopathic effects (CPE), and more. These tests are typically specific and only capture certain viruses, as factors like CPE can only be observed in some viral species. A new investigational method that is effective on all …


Bioinformatics Analysis Of The Transcriptomic Profiles Of Duchenne Muscular Dystrophy Patients / Narrative Competence And Cognitive Mapping As A Culturally Sustaining Pedagogy In The Education Of Emergent Bilinguals, Bianca Gonzalez May 2022

Bioinformatics Analysis Of The Transcriptomic Profiles Of Duchenne Muscular Dystrophy Patients / Narrative Competence And Cognitive Mapping As A Culturally Sustaining Pedagogy In The Education Of Emergent Bilinguals, Bianca Gonzalez

Legacy Theses & Dissertations (2009 - 2024)

Duchenne Muscular Dystrophy (DMD) is a muscle-wasting disease that primarily affects boys characterized by loss of the dystrophin gene. Dystrophin is necessary for proper muscle growth, muscles that lack dystrophin are more prone to damage. In this thesis, a bioinformatics approach was used to evaluate the transcriptomic profiles of two datasets obtained from DMD patients. The two datasets were analyzed separately, as well as combined to identify differentially expressed genes. The first dataset, GSE6011, has 23 DMD samples and 14 controls. The second, GSE38417, consists of 16 DMD samples and six controls. Differential gene expression of both datasets combined found …