Uso de técnicas de otimização e agrupamento hierárquico para a complementação automática da malha viária em regiões rurais a partir de imagens aéreas de média e alta resolução

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Analisando a determinação sexual de vertebrados com base em redes de interação entre proteínas

Pós-graduação em Ciências Biológicas (Genética) - IBB

Inferência estatística clássica para a confiabilidade de rede de coautoria com enfoque nos vértices

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Caracterização topológica dos motivos das redes biológicas integradas da Escherichia coli e da Saccharomyces cerevisiae

The reducionism method has helped in the clari cation of functioning of many biological process. However, such process are extremely complex and have emergent properties that can not be explained or even predicted by reducionism methods. To overcome these limits, researchers have been used a set of methods known as systems biology, a new area of biology aiming to understand the interactions between the multiple components of biological processes. These interactions can be represented by a mathematical object called graph or network, where the interacting elements are represented by a vertex and the interactions by edges that connect a pair of vertexes. Into graphs it is possible to nd subgraphs, occurring in complex networks at numbers that are signi cantly higher than those in randomized networks, they are de ned as motifs. As motifs in biological networks may represent the structural units of biological processess, their detection is important. Therefore, the aim of this present work was detect, count and classify motifs present in biological integrated networks of bacteria Escherichia coli and yeast Saccharomyces cere- visiae. For this purpose, we implemented codes in MathematicaR and Python environments for detecting, counting and classifying motifs in these networks. The composition and types of motifs detected in these integrated networks indicate that such networks are organized in three main bridged modules composed by motifs in which edges are all the same type. The connecting bridges are composed by motifs in which the types of edges are diferent

Determinação de comunidades em redes biológicas integradas

To understand how biological phenomena emerge, the nonlinear interactions among the components envolved in these and the correspondent connected elements, like genes, proteins, etc., can be represented by a mathematical object called graph or network, where interacting elements are represented by edges connecting pairs of nodes. The analysis of various graph-related properties of biological networks has revealed many clues about biological processes. Among these properties, the community structure, i.e. groups of nodes densely connected among themselves, but sparsely connected to other groups, are important for identifying separable functional modules within biological systems for the comprehension of the high-level organization of the cell. Communities' detection can be performed by many algorithms, but most of them are based on the density of interactions among nodes of the same community. So far, the detection and analysis of network communities in biological networks have only been pursued for networks composed by one type of interaction (e.g. protein-protein interactions or metabolic interactions). Since a real biological network is simultaneously composed by protein-protein, metabolic and transcriptional regulatory interactions, it would be interesting to investigate how communities are organized in this type of network. For this purpose, we detected the communities in an integrated biological network of the Escherichia coli and Saccharomyces cerevisiae by using the Clique Percolation Method and we veri ed, by calculating the frequency of each type of interaction and its related entropy, if components of communities... (Complete abstract click electronic access below)

Explorando abordagens de aprendizado sequencial para floresta de caminhos ótimos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Explorando abordagens de múltiplos rótulos por floresta de caminhos ótimos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Dominância hierárquica, organização social e perfil de hidrocarbonetos cuticulares de Pachycondyla striata Fr. Smith, 1858 (Formicidae: Ponerinae)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Interações entre pré-escolares: possibilidades de análises

Buscou-se, neste trabalho, construir a rede de relações sociais entre pré-escolares e analisar a pertinência das metodologias utilizadas para a coleta e análise dos dados. Participaram dezessete pré-escolares de uma escola privada em Belém-PA. Os dados foram coletados através de teste sociométrico e observação comportamental. A estrutura do grupo foi analisada a partir da rede de relações sociais, construída através de Árvores Geradoras Mínimas (Teoria dos Grafos). Os resultados mostraram preferências por parcerias diferentes no teste sociométrico e no comportamento interativo. As duas medidas complementaram-se. O uso da Teoria dos Grafos demonstrou-se relevante por possibilitar análises quantitativa e qualitativa do fenômeno social.

Análisis del desarrollo del juego del fútbol 11 desde la óptica de los sistemas complejos

Programa de doctorado: Doctorado en Formación del Profesorado.

Challenger q1 mision: 20.000 leguas de viaje submarino

Grabación realizada por Ciencia compartida (Biblioteca Universitaria)

Potencial biotecnológico de la colección del Banco Español de Algas

Grabación realizada por Ciencia compartida (Biblioteca universitaria)

La pesca en Canarias: tendencias

Grabación realizada por Ciencia compartida (Biblioteca Universitaria)

Impacto de la comunidad planctónica en la biodiversidad oceánica

Grabación realizada por Ciencia compartida (Biblioteca universitaria)

El papel de la pesca recreativa en los cambios en la biodiversidad marina

Grabación realizada por Ciencia compartida (Biblioteca Universitaria)