Evaluation of genome similarities using independent components

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dc.creatorSáfadi, Thelma
dc.creatorFerreira, Leila Maria
dc.date.accessioned2021-07-06T16:51:10Z
dc.date.available2021-07-06T16:51:10Z
dc.date.issued2020
dc.description.abstractWe propose the use of independent component analysis to find similarities of genomes. Considering different numbers of independent components, the complete linkage method was used to identify groups based on the estimated coefficients of the mixing matrix. The sequences analyzed correspond to the strains of the Mycobacterium tuberculosis genome, ten sequences were analyzed, obtained from the National Center for Biotechnology Information (NCBI, 2017). The GC-content of each sequence was evaluated using a sliding window of 10,000 bases. The clustering analysis using the independent components of the analyzed sequences was essential to verify the dissimilarity of the sequences.pt_BR
dc.identifier.citationSÁFADI, T.; FERREIRA, L. M. Evaluation of genome similarities using independent components. Revista Brasileira de Biometria, Lavras, v. 38, n. 1, p. 92-101, 2020.pt_BR
dc.identifier.urihttps://repositorio.ufla.br/handle/1/46660
dc.languageen_USpt_BR
dc.publisherUniversidade Federal de Lavraspt_BR
dc.rightsAttribution 4.0 International*
dc.rightsAttribution 4.0 International
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceRevista Brasileira de Biometriapt_BR
dc.subjectGC-contentpt_BR
dc.subjectMycobacterium tuberculosis genomespt_BR
dc.subjectCluster analysispt_BR
dc.subjectGenomas de Mycobacterium tuberculosispt_BR
dc.subjectAnálise de clusterpt_BR
dc.titleEvaluation of genome similarities using independent componentspt_BR
dc.typeArtigopt_BR

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