Bioinformatic approach for transcriptomics: integration of gene expression data based on RNA-seq with tissue localization
Consultable a partir de
2025-02-01
Fecha
2023Autor
Versión
Acceso embargado 2 años / 2 urteko bahitura
Tipo
Trabajo Fin de Grado/Gradu Amaierako Lana
Impacto
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nodoi-noplumx
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Resumen
One of the main challenges in current system biology research comes when different types of data must be accessed from various sources, metrics and visualization and analysis tools. The challenge increases when it comes to genetics and transcriptomics, in which, for most experiments, genes employ different naming identification based on the genome version, data normalization uses different protoc ...
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One of the main challenges in current system biology research comes when different types of data must be accessed from various sources, metrics and visualization and analysis tools. The challenge increases when it comes to genetics and transcriptomics, in which, for most experiments, genes employ different naming identification based on the genome version, data normalization uses different protocols and data
is compiled using different techniques. Accordingly, there is a need for an analytical-visual tool for cientific support which works as a research platform that incorporates all compiled data and provides integrated search, analysis and visualization features within a single platform, providing the latest and comprehensible data available. In this thesis, we present MtView; https://mtview.herokuapp.com/, a web
tool for exploring multiple research levels of the legume plant Medicago truncatula and its nitrogen-fixing symbiotic interaction with the bacterium Sinorhizobium meliloti through a simple user interface. The app connects with various publicly available web services containing gene transcriptome, genome, proteome, interactome, tissue localization and 3D molecular structure for around the 70.000 genes expressed in the aforementioned legume. [--]
Materias
Bioinformatics,
Transcriptomics,
Genomics,
Proteomics,
Interactomics,
RNA sequencing,
Symbiosis,
Tissue localization,
Medicago truncatula,
Sinorhizobium meliloti,
Normalization,
Web development,
Python,
HTML,
JavaScript,
CSS,
R
Titulación
Graduado o Graduada en Ingeniería Informática por la Universidad Pública de Navarra /
Informatika Ingeniaritzako Graduatua Nafarroako Unibertsitate Publikoan