Marlon D. M. Santos

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PatternLab for proteomics is an integrated computational environment that unifies several previously published modules for the analysis of shotgun proteomic data. The contained modules allow for formatting of sequence databases, peptide spectrum matching, statistical filtering and data organization, extracting quantitative information from label-free and(More)
Motivation Around 75% of all mass spectra remain unidentified by widely adopted proteomic strategies. We present DiagnoProt, an integrated computational environment that can efficiently cluster millions of spectra and use machine learning to shortlist high-quality unidentified mass spectra that are discriminative of different biological conditions. (More)
Universidade Federal do Rio de Janeiro, como parte dos requisitos necessários à obtenção do título de Mestre em Engenharia de Sistemas e Computação. Computational environment for discovery of new molecules with diagnostic potential / André Ramos Fernandes da Silva. – Rio de Janeiro: UFRJ/COPPE, 2016. v " Wonder is a kind of desire for knowledge. It is a(More)
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