Applications of bioinspired computing in bioinformatics : analyzing the role of genes and their interactions / Aplicações de computação bioinspirada em bioinformatica : investigando o papel dos genes e suas interações

AUTOR(ES)
DATA DE PUBLICAÇÃO

2006

RESUMO

This dissertation deals with genetic networks, the mechanism of control of gene activity in cells, under three different computational perspectives. Initially, as an engineering approach, a computational tool for inference of genetic networks is proposed, which is able to recover the static structure of these networks from experimental datasets. This systems identification method is especially designed for small datasets, a common scenario when coping with gene expression data. In the second step, a computational model for genetic networks is proposed, in which biochemical reactions that occur inside the cell are treated as nonlinear equations in a connectionist structure. Rather than inferring networks from data, this model is used together with an evolutionary algorithm to synthesize artificial genetic networks that are able to solve dynamic tasks ? and in particilar, to solve a classic problem in evolutionary robotics. Although the model is used as a problem-solving technique, the objective here is primarily scientific, i.e., the evolved artificial genetic networks are viewed as an opportunity to study properties observed in natural systems. Finally, the third step comprises a conceptual approach, in which ideas from other fields of modern science, like neuroscience and synergetics, are put together to compose a new scenario to the study of the information processing in genetic networks

ASSUNTO(S)

bioinformatics bioinformatica expressão genica redes genicas reguladoras identificação de sistemas genetic regulatory networks systems identification biological oscillators osciladores biologicos gene expression

ACESSO AO ARTIGO

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