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Title: | Modelización del ciclo metabólico de la levadura mediante la integración estadística de datos de metabolómica, expresión génica y modificación de histonas |
Author: | Doria Belenguer, Sergio |
Tutor: | Tarazona Campos, Sonia |
Others: | Prados Carrasco, Ferran |
Abstract: | In the last years system biology has become in one of the most exciting fields in biological research. The understanding of the cell as an interactive network, instead of separated layers, could be decisive in the comprehension of human diseases and development. This is because the interaction analyses may uncover emerging proprieties that lie hidden. Despite nowadays technology allows researchers to produce large amount of data from different omic technology; the statistical integration and interpretation is not easy and available tools are far to be perfect. Consequently, the ideal system model is not achieved yet and more efforts are needed. In this context, one of the most studied models is the yeast metabolic cycle (YMC). This cycle is defined by a periodic oscillation of genetic expression. Based on recent studies, during this cycle the regulation of the genes could be done by metabolic changes which affects the chromatin structure. This makes the YMC a perfect model to study the relation between metabolomic, transcriptomic and ChIP-seq data in an integrative way. The objective of this research is the contribution to the development of a statistical and computational pipeline for the integration of RNA-Seq, ChIP-Seq and metabolomic data from YMC. To achieve it different statistical approaches were used: multivariate models (PLS) and multiple lineal regression models (MORE). Clear differences between models were found and discussed. Finally, a biological interpretation of the results was done. |
Keywords: | statistical integration omics data systems biology |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 8-Jan-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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sdoriaTFM0119memoria.pdf | Memoria del TFM | 3,32 MB | Adobe PDF | View/Open |
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