Doctor of Philosophy

dissertationCancer is extremely challenging to treat as every patient responds differently to treatments, depending on the specific molecular aberrations and deregulated signaling pathways driving their tumors. To address this heterogeneity and improve patient outcomes, therapies targeting specific pathways have been developed. The use of computational pathway analysis tools and genomic data can help guide the use of targeted therapies by assessing which pathways are deregulated in patient subpopulations and individual tumors. However, most pathway analysis tools do not account for complex interactions inherent to signaling pathways, and are not capable of integrating different types of genomic data (multiomic data). To address these limitations, this dissertation focuses on developing user-friendly multiomic gene set analysis tools, and utilizing bioinformatics tools to measure pathway activation for multiple pathways simultaneously in cancer. Chapter 2 first describes the need for genomics and pathway-based analyses in cancer using the commonly aberrant RAS pathway as an example. Chapter 3 utilizes pathway-based gene expression signatures and the pathway analysis toolkit ASSIGN to interrogate pathways from the growth factor receptor network (GFRN) in breast cancer. Two discrete phenotypes, which correlated with mechanisms of apoptosis and drug response, were characterized from GFRN activity. These phenotypes have the potential to pinpoint more effective breast cancer treatments. Chapter 4 describes the development of Gene Set Omic Analysis (GSOA), a novel gene set analysis tool which uses machine learning to identify pathway differences between two given biologicalconditions from multiomic data. GSOA demonstrated its capacity to identify pathways known to play a role in various cancers, and improves upon other methods because of its ability to decipher complex multigene and multiomic patterns. Chapter 5 describes GSOA-shiny, a novel web application for GSOA, which provides biologists with lack of bioinformatics experience access to multiomic gene set analysis from an easy-to-use interface. Overall, this dissertation presents novel breast cancer phenotypes with clinical implications, provides the research community with gene expression signatures for GFRN components, and presents an innovative method and web application for gene set analysisâ€"all contributing to furthering the field of personalized oncology

Propuesta de virtualización de servidores con Hyper-V en el centro de datos de la Facultad de Ciencias Médicas de la UNAN-Managua

La importancia del crecimiento en la potencia de cómputo y la existencia de problemas relacionados con el uso del hardware, ha hecho de la virtualización la solución más idónea para resolver tales dificultades, dentro de sus propósitos se encuentran hacer uso eficiente de los recursos y disminuir el costo total asociado a los mismos. Este trabajo de investigación fue realizado con la finalidad de proponer una solución para la virtualización servidores. La virtualización es una tecnología que permite la creación de equipos, basados en software, que reproducen el ambiente de una máquina física en sus aspectos de CPU, memoria, almacenamiento y entrada y salida de dispositivos. Se limita a trabajar básicamente con Hyper-V con el fin de acotar y definir la solución de virtualización , debido a la numerosa cantidad de soluciones que existen actualmente, como lo son VMware, Cytrix, entre otros. El enfoque principal se encontrará relacionado principalmente a la virtualización de servidores, a la disposición de Hyper-V para trabajar en cluster y al tipo de cluster que se puede implementar. El objetivo general de este trabajo es entonces, proponer una solución para efectuar la virtualización ya manera explicativa se describe como trabaja un cluster de alta disponibilidad con Hyper-V para efectuar tareas de migración de maquinas virtuales, empleando técnicas propias que vienen incorporadas en el software, como Live Migration ó Quick Migration que facilitan de gran forma la gestión y administración del entorno virtual. También se describirá brevemente los detalles técnicos para la implementación del centro de datos, la disposición de las áreas funcionales, el diagrama de distribución y otros parámetros importantes a tenerse en cuenta para disponer de un centro de datos confiable

Global wealth disparities drive adherence to COVID-safe pathways in head and neck cancer surgery

Peer reviewe

Penicillin Use in Meningococcal Disease Management: Active Bacterial Core Surveillance Sites, 2009

In 2009, in the Active Bacterial Core surveillance sites, penicillin was not commonly used to treat meningococcal disease. This is likely because of inconsistent availability of antimicrobial susceptibility testing and ease of use of third-generation cephalosporins. Consideration of current practices may inform future meningococcal disease management guidelines

Current Epidemiology and Trends in Invasive Haemophilus influenzae Disease—United States, 2009–2015

BackgroundFollowing Haemophilus influenzae serotype b (Hib) conjugate vaccine introduction in the 1980s, Hib disease in young children dramatically decreased, and epidemiology of invasive H. influenzae changed.MethodsActive surveillance for invasive H. influenzae disease was conducted through Active Bacterial Core surveillance sites. Incidence rates were directly standardized to the age and race distribution of the US population.ResultsDuring 2009-2015, the estimated mean annual incidence of invasive H. influenzae disease was 1.70 cases per 100000 population. Incidence was highest among adults aged ≥65 years (6.30) and children aged <1 year (8.45); many cases in infants aged <1 year occurred during the first month of life in preterm or low-birth-weight infants. Among children aged <5 years (incidence: 2.84), incidence was substantially higher in American Indian and Alaska Natives AI/AN (15.19) than in all other races (2.62). Overall, 14.5% of cases were fatal; case fatality was highest among adults aged ≥65 years (20%). Nontypeable H. influenzae had the highest incidence (1.22) and case fatality (16%), as compared with Hib (0.03; 4%) and non-b encapsulated serotypes (0.45; 11%). Compared with 2002-2008, the estimated incidence of invasive H. influenzae disease increased by 16%, driven by increases in disease caused by serotype a and nontypeable strains.ConclusionsInvasive H. influenzae disease has increased, particularly due to nontypeable strains and serotype a. A considerable burden of invasive H. influenzae disease affects the oldest and youngest age groups, particularly AI/AN children. These data can inform prevention strategies, including vaccine development