Aplicações de modelos logisticos regressivos em biologia molecular / Logistic regression models with applications in molecular biology

AUTOR(ES)

Lori Cristina Grandin

DATA DE PUBLICAÇÃO

2006

RESUMO

The advance of gene sequencing has stimulated the development of new statistical techniques to analyze genetic data. In this work the logistic regressive models, introduced by Bonney (1986), are presented first in the context of analysis of familial data and then they are used to analyze codon frequencies in mitochondrial DNA sequences. The assumption of independence among nucleotide frequencies in a codon can be a very strong one, or biologically unreal. In view of this, several structures of dependence are presented to analyze the codon frequencies. For example, a first order Markovian structure can be appropriate to explain the dependence of the base frequencies in the codon. The log-likelihood function is evaluated and several comparisons are made to analyze which is the most parcimonious model. Applications of these models are made using real data of NADH4 gene sequences of the human mitochondrial genome

ASSUNTO(S)

nucleotydeos sequence analise de regressão - logistica analysis sequencia de nucleotidios logistic regression analise de sequencia de dna dna sequences analysis

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