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The work of the group is aimed at developing computer and mathematical-statistical methods for the analysis and interpretation of biological information. During the development of these methods, we apply the systems biology approach, integrating different cell functions data and representing them in the form of networks of functional relations between biologic entities.
Part of our job consists in developing tools for the analysis of Proteomics data, especially, of mass spectra. The application of mathematical and computer methods to spectra interpretation and quantifying the relative abundance between analyzed samples. |
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Network representation of functional relations between biomolecules is a research subject comprised by in silico Systems Biology. In this kind of representation, genes and proteins are represented as nodes and functional relations are represented in the form of edges that connect the corresponding nodes. The BisoGenet project has several components: integration of data from different sources, construction of gene and protein networks from the integrated information, as well as networks visualization and analysis. |
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Development of computer tools and statistical methods for Proteomics data analysis, experiments design, and integration of Genomics data, as well as other biological data. |
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DNA microarray data analysis |
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DNA microarrays have emerged as the most used technology in the mass quantification of genes expression and have been applied in a wide range of biological research in recent years. The work of our group has focused on the experimental design of microarrays and the statistical analysis & interpretation of expression profiles. |
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