Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/64027
Title: Creación de un pipeline para el análisis de datos procedentes de secuenciación masiva (MiSeq) para su incorporación en un algoritmo predictivo basado en variantes genéticas
Author: Elso Yoldi, Pablo
Tutor: Gonzalo Sanz, Ricardo  
Others: Sánchez-Pla, Alex  
Perez-Navarro, Antoni  
Ventura, Carles  
Morán Moreno, Jose Antonio  
Marco-Galindo, Maria-Jesús  
Abstract: The project is included in the research and development plans of Making Genetics S.L. of developing a bioinformatic pipeline which uses different bioinformatic tools in order to work with data obtained from the Next Generation Sequencing platform MiSeq (from Illumina). The pipeline will obtain the genotype of the genetic variants previously selected because of its importance in the risk of suffering a disease chosen for its social relevance. With the creation of a predictive algorithm that uses the results from the bioinformatic pipeline, a probability of suffering the disease value in function of the genetic variants is obtained and those results are presented in a genetic report in order to be easily understood.
Keywords: pipeline
SNP
biocomputing tools
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Feb-2017
Publication license: http://www.gnu.org/licenses/gpl.html
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

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