Coleções nesta seção

  • Artigos Técnico-científicos na área de Informática

Submissões recentes

  • Marques, Yuri Bento; Oliveira, Alcione de Paiva; Vasconcelos, Ana Tereza Ribeiro; Cerqueira, Fabio Ribeiro (BMC Bioinformatics, 2016-12-15)
    MicroRNAs (miRNAs) are key gene expression regulators in plants and animals. Therefore, miRNAs are involved in several biological processes, making the study of these molecules one of the most relevant topics of molecular ...
  • Silva, Jose Cleydson F.; Carvalho, Thales F. M.; Basso, Marcos F.; Deguchi, Michihito; Pereira, Welison A.; Vidigal, Pedro M. P.; Brustolini, Otávio J. B.; Silva, Fabyano F.; Dal-Bianco, Maximiller; Fontes, Renildes L. F.; Santos, Anésia A.; Zerbini, Francisco Murilo; Cerqueira, Fabio R.; Fontes, Elizabeth P. B.; R. Sobrinho, Roberto (BioMed Central Bioinformatics, 2017-05-05)
    The Geminiviridae family encompasses a group of single-stranded DNA viruses with twinned and quasi-isometric virions, which infect a wide range of dicotyledonous and monocotyledonous plants and are responsible for significant ...
  • Silva, José Cleydson F.; Carvalho, Thales F. M.; Fontes, Elizabeth P. B.; Cerqueira, Fabio R. (BioMed Central Bioinformatics, 2017-09-30)
    Geminiviruses infect a broad range of cultivated and non-cultivated plants, causing significant economic losses worldwide. The studies of the diversity of species, taxonomy, mechanisms of evolution, geographic distribution, ...
  • Fassio, Alexandre V.; Martins, Pedro M.; Guimarães, Samuel da S.; Junior, Sócrates S. A.; Ribeiro, Vagner S.; Melo-Minardi, Raquel C. de; Silveira, Sabrina de A. (BioMed Central Bioinformatics, 2017-07-24)
    A huge amount of data about genomes and sequence variation is available and continues to grow on a large scale, which makes experimentally characterizing these mutations infeasible regarding disease association and effects ...
  • Cerqueira, Fabio Ribeiro; Ricardo, Adilson Mendes; Oliveira, Alcione de Paiva; Graber, Armin; Baumgartner, Christian (BMC Bioinformatics, 2016-12-15)
    This work presents a machine learning strategy to increase sensitivity in tandem mass spectrometry (MS/MS) data analysis for peptide/protein identification. MS/MS yields thousands of spectra in a single run which are then ...

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