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dc.contributor.advisorCalvo Molinos, Borja ORCID
dc.contributor.advisorInza Cano, Iñaki ORCID
dc.contributor.authorMachado de Souza, Ignacio Nicolás
dc.contributor.otherF. INFORMATICA
dc.contributor.otherINFORMATIKA F.
dc.date.accessioned2017-06-19T17:39:00Z
dc.date.available2017-06-19T17:39:00Z
dc.date.issued2017-06-19
dc.identifier.urihttp://hdl.handle.net/10810/21789
dc.description.abstractThis 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.isoeng
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectqPCR
dc.subjectdata analysis
dc.subjectshiny
dc.subjectweb application
dc.titleQuantitative real-time PCR data analysis with R
dc.typeinfo:eu-repo/semantics/bachelorThesis
dc.date.updated2016-10-26T09:07:49Z
dc.language.rfc3066es
dc.rights.holder© 2016, el autor
dc.contributor.degreeGrado en Ingeniería Informática
dc.contributor.degreeInformatikaren Ingeniaritzako Gradua
dc.identifier.gaurregister75098-716189-02
dc.identifier.gaurassign39108-716189


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