Evaluación de los filtros escalonados en plink y su efecto en la estructura poblacional de tepuihyla

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dc.contributor.advisorChávez Viteri, Daniel Eduardo
dc.contributor.authorGallo Camacho, Mickaela Elizabeth
dc.date.accessioned09/01/2025 10:02
dc.date.available09/01/2025 10:02
dc.date.issued2024
dc.description.abstractStep filtering techniques in RADseq can have significant effects on population and genetic structure results. The correct selection and application of filters are crucial to ensure data accurately concerning the genetic variability present in a particular population. An 80% of filtering data prioritizes the quality and biological relevance of the SNPs, a 70% and 50% of filtering criteria seek a balance between the conservation of genomic diversity and the elimination of low-quality markers. On the other hand, 30% of filtering data seeks to maximize genomic diversification by retaining a greater number of SNPs, including less common but potentially biologically important variants. To identify how filtering criteria influence population structure results, I used a principal component analysis (PCA) to synthesize genetic similarities and differences between populations. I used different populations of the Auyan-tepui frog (Tepuihyla edelcae) from the Canaima National Park in Venezuela.en_US
dc.id.advisor0918412461
dc.id.author1501003857
dc.identifier.urihttps://repositorio.puce.edu.ec/handle/123456789/45064
dc.language.isoes
dc.publisherPUCE - Quito
dc.subjectTepuihyla edelcae
dc.subjectGenética de población
dc.subjectSecuencia de nucleótidos
dc.subjectPolimorfismo de nucleótido simple
dc.subjectAnálisis de componente principal
dc.subjectVariación genética
dc.titleEvaluación de los filtros escalonados en plink y su efecto en la estructura poblacional de tepuihyla
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