Detalhes bibliográficos
Ano de defesa: |
2013 |
Autor(a) principal: |
PEDROSA, Lucemberg de Araújo
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Orientador(a): |
OLIVEIRA JUNIOR, Wilson Rosa de |
Banca de defesa: |
LUDEMIR, Teresa Bernarda,
STOSIC, Tatijana |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal Rural de Pernambuco
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Programa de Pós-Graduação: |
Programa de Pós-Graduação em Biometria e Estatística Aplicada
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Departamento: |
Departamento de Estatística e Informática
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País: |
Brasil
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5156
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Resumo: |
Due to the large amount of data that is generated in the area of molecular genetics the need of new fast and precise methods for data analysis is increasingly needed. In the present study we discuss the concept of entropy to analyse DNA sequences, where the notion of entropic distance is defined. In order to check its efficiency the Mantel test was performed, which makes the correlation between the two distances matrices, the entropic distance and the genetic distance in which the Jukes - Cantor (JC69) distance. Nine types of genetic sequences were analysed, first the gene BoLA, where was conducted a more detailed study, showing a descriptive statistics and performing the dendograms. Subsequently sequences of larger size were analyzed, the stingless bees Melipona quinquefasciata, and finaly a much larger sequence, the chromosome 5 of Homo Sapiens. 6 simulations were also conducted to verify the behavior of results, in each of these three analysis the alignment was performed before the JC69 distance. It was possible to obtain good results when used the conditional entropy, which was introduced the concept of entropy in blocks, the method proved to be more effective in very long sequences. |