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dc.contributor.authorDíaz-Martínez, Luis
dc.contributor.authorSeoane Zonjic, Pedro
dc.contributor.authorClaros-Díaz, Manuel Gonzalo 
dc.contributor.authorViguera-Mínguez, Enrique 
dc.contributor.authorGrande-Pérez, Ana 
dc.date.accessioned2017-06-20T11:55:05Z
dc.date.available2017-06-20T11:55:05Z
dc.date.issued2017
dc.identifier.citationLibro de abstracts XIV Congreso Nacional de Virología Volumen 20 1/2017es_ES
dc.identifier.urihttp://hdl.handle.net/10630/13955
dc.description.abstractWe have developed QuasiFlow, a workflow designed in AutoFlow that takes advantage of NGS technologies to reconstruct quasispecies based in Illumina reads. QuasiFlow characterises and computes several key parameters, such as recombination events, SNPs, transitions, transversions, indels, quasispecies reconstruction, normalized Shannon index, nucleotide diversity and mutation networks. Moreover, it performs a comparative study of the samples comprising correlation, ANOVA and PCA analyses of the previously obtained virus population parameters. Using QuasiFlow we have analysed Illumina MiSeq reads from DNA samples obtained in mixed infections of ssDNA begomovirus in tomato plants amplified by rolling circle amplification. Further, we have extended the use of QuasiFlow to the analysis of the highly variable mitochondrial DNA. For that, we have used DNA Illumina MiSeq reads from 47 human mitochondrial samples from different cell lines obtained from the NCBI SRA databasees_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isoenges_ES
dc.publisherSociedad Española de Virologíaes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectBioinformáticaes_ES
dc.subject.otherBioinformatices_ES
dc.titleAnalysis of viral quasispecies by NGS technologies: quasiflowes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroFacultad de Cienciases_ES
dc.relation.eventtitleXIV Congreso Nacional de Virologíaes_ES
dc.relation.eventplaceCádizes_ES
dc.relation.eventdateJunio 2017es_ES
dc.identifier.orcidhttp://orcid.org/0000-0002-2821-062Xes_ES
dc.rights.ccby-nc-nd


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