Uma abordagem para obtenção de regiões ortólogas em múltiplos proteomas

Detalhes bibliográficos
Ano de defesa: 2006
Autor(a) principal: Silva, Anderson Pegoraro
Orientador(a): Biajiz, Mauro lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de São Carlos
Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência da Computação - PPGCC
Departamento: Não Informado pela instituição
País: BR
Palavras-chave em Português:
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/376
Resumo: With the progress of the sequencing techniques and the inevitable increasing number of sequenced genomes, it becomes interesting studying computational techniques to analyze these data. One of the possible analyses refers to the extraction of functional and evolutionary characteristics of the studied organisms. Thus, in this line of research, this study is motivated in identifying common regions, in terms of the genes that they contain, in multiple proteomes that keep the order and the gene content. The problem is modeled with a colored graph, and the common regions between proteomes are like clicks in the graph. Using peculiarities of the constructed graph, an algorithm for search space reduction was developed, making it possible to get complete results in a short time. Therefore, the contribution of this work constitutes an approach to find common regions in multiple proteomes, added of an implementation from which the Multiple Proteome Comparison (MPC) tool originated.