Desarrollo de una aplicación web en R/Shiny para la visualización interactiva del análisis diferencial de metilación genómica en muestras tumorales procesadas mediante la tecnología microarray
DNA methylation is the most common epigenetics alteration in nature. Recent literature expose the existence of the association between cellular expression modifications in tumors and the demethylation patterns on CpGs located in the body and regulatory elements of relevant genes in the cell stabilit...
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universitat Oberta de Catalunya (UOC) |
| Repositorio: | O2, repositorio institucional de la UOC |
| OAI Identifier: | oai:openaccess.uoc.edu:10609/95646 |
| Acceso en línea: | http://hdl.handle.net/10609/95646 |
| Access Level: | acceso abierto |
| Palabra clave: | DNA methylation Shiny web applications data management platform metilación del ADN aplicaciones web plataforma de gestión de datos metilació de l'ADN aplicacions web plataforma de gestió de dades Application software -- Development -- TFM Programari d'aplicació -- Desenvolupament -- TFM Software de aplicación -- Desarrollo -- TFM |
| Sumario: | DNA methylation is the most common epigenetics alteration in nature. Recent literature expose the existence of the association between cellular expression modifications in tumors and the demethylation patterns on CpGs located in the body and regulatory elements of relevant genes in the cell stability status. The improvements in laboratory techniques specialized in main relevant biological data's treatment implies the development of optimal bioinformatics tools able to allow the study of the hallmarks from the epigenetics modifications. Microarray techniques gain strength and utility in the differential DNA methylation studies and require potential analyses in situ. Here, we are available of two independent cohorts of tumour and control samples from GEO repository analyzed using the last updated version of methylation array with 850k probes, EPIC. The goal is to develop an online interactive application in R/Shiny language capable to launch the automatic visualization of the samples treating and the differential DNA methylation analysis between both biological status in order to obtain the DMR and dmp of the study that support the definition of a tumour's methylome profile. Programming algorithms from R/Bioconductor/minfi library and its adaptation in the web service code design would provide a product that promote the use of methylation techniques in cancer by lab users not familiarized with the bioinformatics tools software. |
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