dc.contributor.advisor | Calvo Molinos, Borja | |
dc.contributor.advisor | Inza Cano, Iñaki | |
dc.contributor.author | Machado de Souza, Ignacio Nicolás | |
dc.contributor.other | F. INFORMATICA | |
dc.contributor.other | INFORMATIKA F. | |
dc.date.accessioned | 2017-06-19T17:39:00Z | |
dc.date.available | 2017-06-19T17:39:00Z | |
dc.date.issued | 2017-06-19 | |
dc.identifier.uri | http://hdl.handle.net/10810/21789 | |
dc.description.abstract | This dissertation covers an introduction to the field of qPCR data analysis using the state-of-the-art R programming language. qPCR analyses genomic data based on the DNA replication. After showing a set of basic biological and statistics concepts, the roots of qPCR technology, together with its principal data analysis modelisations (visualisation, filtering, clustering, ...) are shown. A web application has been developed to ease and extend qPCR data analysis functionalities to other areas such as biology or forensics. | |
dc.language.iso | eng | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.subject | qPCR | |
dc.subject | data analysis | |
dc.subject | shiny | |
dc.subject | web application | |
dc.title | Quantitative real-time PCR data analysis with R | |
dc.type | info:eu-repo/semantics/bachelorThesis | |
dc.date.updated | 2016-10-26T09:07:49Z | |
dc.language.rfc3066 | es | |
dc.rights.holder | © 2016, el autor | |
dc.contributor.degree | Grado en Ingeniería Informática | |
dc.contributor.degree | Informatikaren Ingeniaritzako Gradua | |
dc.identifier.gaurregister | 75098-716189-02 | |
dc.identifier.gaurassign | 39108-716189 | |