Visualização de dados genômicos do fungo Paracoccidioides brasiliensis

AUTOR(ES)
DATA DE PUBLICAÇÃO

2006

RESUMO

Genome sequencing projects developed worldwide produce an enormous and growing volume of information. These informations are usually described in text, HTML (Hypertext Markup Language) or XML (Extensible Markup Language) format, and they can be stored on hundreds or even thousands of pages. The storage and analysis of these information require computational tools and methods to facilitate and support the biological research. Besides the EST (Expressed Sequence Tags) information or genomic DNAs generated from the sequencing projects, other data such as genomic comparisons or differential gene expression, obtained from BLAST (Basic Alignment Search Tool) and cDNA macroarray experiments are available on text format which requires biological analysis. The work of the biologists can be supported if the available data is presented using graphics or tables. So, this work proposes two methods for visualizing data generated by the sequencing genome projects developed on the molecular biology of the University of Brasilia. Comparisons obtained by BLAST among the Paracoccidioides brasiliensis ESTs and the genomics DNAs of two others phylogenetic related fungi, Aspergillus fumigatus and Aspergillus nidulans, using a genomic visualization tool - GBrowse, allow to infer the organization of the P. brasiliensis genes inside its chromosomes. Particularly, from the model A. fumigatus, synteny among the P. brasiliensis genes could be identified. The inferences obtained by these comparisons can greatly help to develop biological experiments to confirm the organization of the P. brasiliensis genes. Besides, to contribute for the analysis of the set of differentially expressed genes indicated by cDNA macroarray experiments, a tool named PathwayView was built, to locate the differential genes into the KEGG metabolic pathways maps. PathwayView contribute to process a great volume of data, making easier to find the pathways and the enzymes inside these pathways. In the particular case of the P. brasiliensis fungus, for example, this tool could be used to increase the knowledge of how biological adaptation of this pathogen occurs in humans, which in turn, could indicate new directions for the development of new drugs or fungicides.

ASSUNTO(S)

visualização de dados genômicos biologia computacional ciencia da computacao genomic data visualization genes organization bioinformática organização de genes vias metabólicas bioinformatics genes banco de dados metabolic pathways

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