Bráulio Roberto Gonçalves Marinho Couto

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Most molecular analyses, including phylogenetic inference, are based on sequence alignments. We present an algorithm that estimates relatedness between biomolecules without the requirement of sequence alignment by using a protein frequency matrix that is reduced by singular value decomposition (SVD), in a latent semantic index information retrieval system.(More)
OBJECTIVE To analyze infections of the surgical site among patients undergoing clean-wound surgery for correction of femoral fractures. METHODS This was a historical cohort study developed in a large-sized hospital in Belo Horizonte. Data covering the period from July 2007 to July 2009 were gathered from the records in electronic medical files, relating(More)
MOTIVATION The identification of potential drug target proteins in bacteria is important in pharmaceutical research for the development of new antibiotics to combat bacterial agents that cause diseases. RESULTS A new model that combines the singular value decomposition (SVD) technique with biological filters composed of a set of protein properties(More)
Phylogeny is an important field to understand evolution and the organization of life. However, most methods depend highly on manual study and analysis, making the construction of phylogeny error prone. Linear Algebra methods are known to be efficient to deal with the semantic relationships between a large number of elements in spaces of high dimensionality.(More)
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