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dc.contributor.authorRojas-Pérez, Víctor Eduardo
dc.contributor.authorParra Villegas, Eduardo
dc.date.accessioned2025-07-07T19:47:05Z
dc.date.available2025-07-07T19:47:05Z
dc.date.issued2025
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/6211
dc.description.abstractShannon entropy data were obtained from whole genome sequences of SARS-CoV-2 virus from COVID-19 positive patients from nasopharyngeal and tracheal aspirate samples, these sequences were downloaded from the NCBI public database. The study included 57 genomic sequences of the SARS-CoV-2 virus. A total of 57 samples (n = 30 oronasopharyngeal and n = 27 tracheal aspirates) underwent bioinformatics-based analysis with the objective of determining the extent of viral variability. These sequences were used to perform a genetic variability analysis of the virus with the H(x) function of the BioEdit program and using the Wuhan-Hu-1 reference genome. The generated Shannon entropy data were filtered to comparatively determine the magnitudes of genetic variability between sequences from nasopharyngeal and tracheal aspirate samples using an R script. This paper proposes a workflow for the bionformatic analysis of SARS-CoV-2 genetic variation from different respiratory system samples. This bioinformatics workflow could help to differentiate changes in the evolution of the viral population in different compartments of the respiratory system.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceMethodsX, 14, 103369es_CL
dc.subjectGenetic variantses_CL
dc.subjectSARS-CoV-2es_CL
dc.subjectGenomees_CL
dc.subjectHealthes_CL
dc.titleDataset and analysis of genetic variability of severe acute Respiratory Syndrome Coronavirus 2 from different areas of the respiratory tractes_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias Agrarias y Forestaleses_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.urisciencedirect.ucm.elogim.com/science/article/pii/S2215016125002158?via%3Dihubes_CL
dc.ucm.doidoi.org/10.1016/j.mex.2025.103369es_CL


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Atribución-NoComercial-SinDerivadas 3.0 Chile
Excepto si se señala otra cosa, la licencia de la publicación se describe como Atribución-NoComercial-SinDerivadas 3.0 Chile